Alternatives to Upseam

Compare Upseam alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Upseam in 2026. Compare features, ratings, user reviews, pricing, and more from Upseam competitors and alternatives in order to make an informed decision for your business.

  • 1
    Cycode

    Cycode

    Cycode

    A platform for security, governance, and pipeline integrity for all your development tools & infrastructure. Harden your source control management systems (SCM), find secrets, leaks and prevent code tampering. Scan your CI/CD settings and Infrastructure-as-Code (IaC) for security misconfiguration. Identify drift between production systems IaC configurations and prevent source code tampering. Stop developers from inadvertently exposing proprietary code in public repositories, fingerprint code assets and proactively identify exposure on public sites. Inventory assets, enforce security policies, and easily demonstrate compliance across all your DevOps tools and infrastructure, both in the cloud and on-premises. Scan IaC for security misconfigurations and ensure compliance between defined IaC configurations and production infrastructure. Scan every commit or pull/merge request for hard-coded secrets and prevent them from reaching the master branch across all SCMs and programming languages.
  • 2
    Versionveil

    Versionveil

    Synov8 Ltd

    Versionveil is a realtime vendor change intelligence platform for engineering teams. It monitors vendors like OpenAI, Stripe, Vercel, Supabase, Anthropic, and Cloudflare, tracking API, pricing, SDK, and infrastructure changes that are usually scattered across changelogs, docs, and status pages. Versionveil turns these updates into structured alerts with severity, clear summaries, and AI-generated impact analysis explaining what changed and why it matters. Alerts are routed to Slack, Discord, or email, so the right teams see the right changes fast. Everything is also stored in a searchable history of vendor changes. It helps teams reduce dependency risk and avoid production surprises from third-party changes.
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    CodeCargo

    CodeCargo

    CodeCargo

    CodeCargo is a GitHub-native control plane for enterprises operating GitHub at scale. It automates what GitHub Actions does not handle on its own. Administration centralizes organization and repository management with role-based access control and a service catalog. Migration moves CI/CD onto GitHub Actions from Jenkins, GitLab CI, CircleCI, Azure DevOps, Bamboo, and Bitbucket, with bulk migration pull requests across hundreds of repositories. Compliance runs a scan on every workflow-file edit, surfaces violations on the pull request, scores each workflow from 0 to 100, detects drift, keeps audit-ready evidence, and opens automated remediation pull requests. CargoWall, an eBPF kernel-level egress firewall for GitHub Actions runners, controls network egress per workflow, per repository, and organization-wide with DNS interception. Chargeback attributes GitHub Actions spend to teams, and developer self-service provides compliant-by-default golden-path pipelines.
    Starting Price: $15/user/month
  • 4
    gitStream

    gitStream

    LinearB

    gitStream lets you configure rules that decide how each pull request is treated based on the content of the code. These rules automatically find the right reviewer, check for deprecation, add context tags, and much more. The practice of improving merge efficiency by classifying pull requests based on change size and complexity. Automating the merge path based on the unique merge conditions allows work to flow more efficiently. gitStream adds context to your PRs with labels and comments. This added context empowers your developers to make the best decisions about how and when to work. Speed up time to merge by applying an auto-approve check on pull requests with simple changes like minor version updates of internal libraries. Automate change requests based on org. level coding practices like moving away from deprecated services.
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    Serpent

    Serpent

    Tekunda

    Serpent is a Salesforce DevOps platform that removes bottlenecks and accelerates release cycles for Salesforce teams. Its task-based workflow gives a simple, visual interface that needs no Git expertise, so teams can plan, track and deploy features and fixes confidently. Org management is streamlined with instant access to scratch orgs, sandboxes and production environments. Serpent automates deployments of metadata and data in one flow, removing the need for complex scripts or command line tools, and includes built-in version control, audit trails and rollback. It also runs a native MCP server, so AI clients such as Claude and Cursor can plan deploys and open pull requests. Used by 60+ Salesforce teams. Serpent is built by Tekunda (tekunda.com), a Salesforce consulting, ISV and PDO partner that runs Serpent on its own client engagements.
    Starting Price: $699/month
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    Code Climate

    Code Climate

    Code Climate

    Velocity provides in-depth, contextual analytics that equip engineering leaders to support stuck team members, address team roadblocks, and streamline engineering processes. Actionable metrics for engineering leaders. Velocity turns data from commits and pull requests into the insights you need to make lasting improvements to your team’s productivity. Quality: Automated code review for test coverage, maintainability and more so that you can save time and merge with confidence. Receive automated code review comments on your pull requests. Our 10-point technical debt assessment provides real-time feedback, so you can save time and focus on what matters in your code review discussions. Get test coverage right, every time. See coverage line by line within diffs. Never merge code without sufficient tests again. At a glance, identify frequently changed files that have inadequate coverage and maintainability issues. Track your progress against measurable goals, day-by-day.
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    Pull Sense

    Pull Sense

    Pull Sense

    Pull Sense is an AI-powered code review assistant designed to enhance development workflows by automating pull request reviews within GitHub. It provides instant, intelligent feedback on code changes, identifying potential bugs, security vulnerabilities, and areas for improvement, thereby streamlining the review process and maintaining consistent coding standards. Users can integrate their own AI models, such as Anthropic, OpenAI, or Deepseek, by utilizing their API keys, ensuring flexibility and control over the review process. The platform generates contextual inline comments directly within pull requests, offering actionable insights without disrupting existing workflows. Teams can define and enforce custom coding standards through flexible configuration options, promoting uniformity across codebases. With a quick setup process, Pull Sense seamlessly integrates with GitHub, allowing users to start reviewing code in minutes.
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    Ramp Router
    Router is an LLM gateway built to reduce inference costs by matching each request to the lowest-cost model that still meets performance needs. It provides one endpoint and one API key for accessing multiple closed and open-source AI models from providers such as OpenAI, Anthropic, Grok, Fireworks, and others, helping developers avoid wiring applications to providers one at a time. Requests go through Router first, where usage, model, provider, and cost can be tracked before eligible workloads are routed to a more efficient option when quality will not be affected. Router Strategies let developers define cost and performance priorities for different types of requests or use benchmarked defaults based on real production workloads. It responds to live latency, availability, failures, and rate limits, and eligible requests can be moved to another available model when a provider cannot serve them.
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    Haystack

    Haystack

    Haystack

    Ship faster and improve team satisfaction with engineering analytics powered by your GitHub data. Analyze pull requests on the team level and get “NorthStar” metrics like cycle time, deployment frequency, and change failure rate to help you improve delivery. Quickly find bottlenecks like code review, experiment with changes like smaller pull requests or automated tests, and see the result.
    Starting Price: $25/Month/Dev
  • 10
    What The Diff

    What The Diff

    What The Diff

    Save costly developer time by automating pull request summaries. Open a pull request and get a summary of the changes in seconds. Instantly understand the implications of small pull requests and get a huge headstart on big ones. A lot of time is spent on code reviews with back and forth between the reviewer and the author - often about minor changes that could be done automatically. Just comment on the lines of code that should be refactored with /wtd and describe the changes that you want. What The Diff will then suggest the changes in the pull request and you can accept them with a single click. What The Diff analyzes the changes of your pull requests and gives you and your team a summary of all the changes in plain english – no need to do this yourself. What The Diff has been trained with a huge data set of code and supports nearly all programming languages. Install the GitHub app for free and give it a try it on one of your repositories.
    Starting Price: $19 per month
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    LLM Gateway

    LLM Gateway

    LLM Gateway

    LLM Gateway is a fully open source, unified API gateway that lets you route, manage, and analyze requests to any large language model provider, OpenAI, Anthropic, Gemini Enterprise Agent Platform, and more, using a single, OpenAI-compatible endpoint. It offers multi-provider support with seamless migration and integration, dynamic model orchestration that routes each request to the optimal engine, and comprehensive usage analytics to track requests, token consumption, response times, and costs in real time. Built-in performance monitoring lets you compare models’ accuracy and cost-effectiveness, while secure key management centralizes API credentials under role-based controls. You can deploy LLM Gateway on your own infrastructure under the MIT license or use the hosted service as a progressive web app, and simple integration means you only need to change your API base URL, your existing code in any language or framework (cURL, Python, TypeScript, Go, etc.)
    Starting Price: $50 per month
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    Travis CI

    Travis CI

    Travis CI

    The simplest way to test and deploy your projects in the cloud or on-prem. Easily sync your projects with Travis CI and you’ll be testing your code in minutes. Check out our features – now you can sign up for Travis CI using your Assembla, Bitbucket, GitHub or GitLab account to connect your repositories! Testing your open-source projects is always 100% free! Log in with your cloud repository, tell Travis CI to test a project, and then push. Could it be any simpler? Many databases and services are pre-installed and can be enabled in your build configuration. Make sure every Pull Request to your project is tested before it’s merged. Updating staging or production as soon as your tests pass has never been easier! Builds on Travis CI are configured mostly through the build configuration stored in the file .travis.yml in your repository. This allows your configuration to be version controlled and flexible.
    Starting Price: $63 per month
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    Trigger.dev

    Trigger.dev

    Trigger.dev

    Write normal async code and we'll handle the rest, from deployment to elastic scaling. No timeouts, real-time monitoring, and zero infrastructure to manage. Trigger.dev is an open source platform and SDK that enables developers to create long-running background jobs without timeouts, directly within their existing codebase. It supports JavaScript and TypeScript, allowing for the writing of reliable asynchronous code that integrates seamlessly with existing workflows. The platform offers features such as API integrations, webhooks, scheduling, delays, and control over concurrency, all without the need to manage servers. Trigger.dev provides built-in monitoring and observability tools, including real-time run status updates, advanced filtering, and custom alerts via email, Slack, or webhooks. Its architecture ensures elastic scaling to handle varying workloads efficiently. Developers can deploy tasks using a command-line interface, with the platform handling scaling management.
    Starting Price: $10 per month
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    AutoInfra

    AutoInfra

    AutoInfra

    Talk to your Servers. Interact with 1000's of command line tools with natural language. Install as an OpenAI plugin using plugin autoinfra. Enables dynamic code fixes based on infrastructure performance. Real-time analysis of metrics such as CPU, memory, network, and much more. Offers automated ML infra ops, automated QA testing, and automated server performance diagnostics. Error analysis, issue resolution, and code refactoring.
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    xPrivo

    xPrivo

    xPrivo

    A free, open-source AI chat alternative to ChatGPT and Perplexity that prioritizes your privacy and anonymity. No account required – not even for PRO features. All chats are stored locally on your device and never logged or used for training. Key Features: - 100% Anonymous | Zero personal data collection - EU-hosted models - GDPR-compliant servers running Mistral 3, DeepSeek V3.2, and other powerful open-source models behind the default xprivo model - Web search with sources. Get fact-checked, current information - Self-hostable. Run it on your own infrastructure or use the hosted version - BYOK support. Connect your own API keys from OpenAI, Anthropic, Grok, etc. - Local-first. Your chat history never leaves your device - Open source. Fully auditable code on GitHub - Use it with ollama to chat with your local models fully offline Perfect for privacy-conscious users who want powerful AI assistance without compromising their anonymity.
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    Squash Labs

    Squash Labs

    Squash Labs

    On demand test environments for web apps and microservices. Save time and iterate faster with disposable virtual machines for each branch of code. Connect to Squash through your GitHub, Bitbucket or GitLab account. Add new code to the repository and create a Pull Request. Squash automatically posts a comment with a testing URL. Squash launches a unique virtual machine to deploy your code when you open the link. View your changes live and test your application in a secure environment! Teams waste time managing environments and dealing with environment-specific bugs. A single bug can cause a ripple effect taking time from QA teams, product managers and developers. A single lost QA cycle due to environment-specific issues can affect delivery timelines. More bugs are introduced due to the lack of automation, outdated libraries, data issues or server resource constraints. Test environments are usually paid 24x7 but only used 30-40% of the time.
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    Capgo

    Capgo

    Capgo

    ​Capgo is an open source live update platform tailored for Capacitor and mobile development teams, enabling rapid deployment of app updates without the delays associated with app store reviews. Developers can push live code changes directly to users, deploying critical fixes and features instantly. It ensures a seamless end-user experience by installing updates automatically in the background without user interaction. Capgo offers robust security with true end-to-end encryption, ensuring that only users can decrypt updates. It provides detailed analytics to track update success rates and user engagement in real time, along with error tracking to proactively monitor and address issues before they impact users. In case of unforeseen issues, Capgo allows for one-click rollbacks to any previous version. It supports advanced update distribution through a channel system, enabling targeted updates to specific user groups for beta testing and staged rollouts.
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    GitPack

    GitPack

    GitPack

    GitPack AI is an AI-driven code review tool that integrates seamlessly with GitHub repositories, providing automated, context-aware feedback on pull requests. Once installed via a one-click process from the GitHub Marketplace, it operates in the background, reviewing code changes as they are submitted. It leverages OpenAI's GPT-4o model to deliver line-by-line code analysis, offering smart, tailored testing suggestions specific to each project. This approach helps maintain coding standards, catch bugs early, and improve overall code health across development teams. GitPack AI requires no setup and is designed to scale with your team's needs, supporting unlimited public and private repositories. It aims to automate routine code reviews, allowing developers to focus on writing new features rather than manual checks.
    Starting Price: $5 per month
  • 19
    Devolutions Powershell Universal
    Devolutions PowerShell Universal turns PowerShell scripts into production-ready automation, REST and WebSocket APIs, and interactive web apps from a central admin console. Store, organize, secure, execute, and audit scripts with browser-based editing, IntelliSense, debugging, integrated Git, and a VS Code extension. Run scheduled and event-driven jobs with schedules or CRON expressions, and scale across multiple instances. Build internal tools with 70+ UI controls and expose APIs with OpenAPI docs. Includes variable and secret management, in-browser terminals, role-based access control, and authentication via local accounts, LDAP, SAML, or OpenID Connect. Supports PowerShell 7 and Windows PowerShell plus modules like Azure, Microsoft Graph, Exchange Online, and VMware. Cross-platform hosting on-premises, on AWS or Azure, in IIS, or a Raspberry Pi. Free Developer edition unlocks the full feature set for local development; a Server license is required for production. 40,000+ installs.
    Starting Price: Free
  • 20
    Charlie

    Charlie

    Charlie Labs

    Charlie Labs offers Charlie, an AI-powered autonomous engineering assistant that helps software teams ship code faster by automating coding tasks, pull request reviews, bug fixes, feature implementation, and other development work directly within existing workflows. Charlie integrates seamlessly with tools developers already use, such as GitHub, Slack, Linear, Sentry, and Vercel, and operates where work happens by listening for events like pull requests or mentions, then generating high-quality TypeScript code, opening or updating branches, and creating pull requests with clean commits and passing tests without manual intervention. It can catch bugs, provide actionable inline feedback, produce feature code and refactor from issue descriptions, and respond to natural language requests within team communication tools so engineers can focus on strategy and design instead of repetitive implementation tasks.
    Starting Price: $500 per month
  • 21
    SADFinder

    SADFinder

    SADFinder

    SADFinder is a native, keyboard-first file manager for macOS 15 and later. It combines dual-pane browsing, persistent color-coded tabs, an editable path bar, quick filtering and full-Mac search, icon and list views, Quick Look, Finder tags, ZIP tools, cut/copy/paste, rename, batch rename, undo/redo, per-folder views, Desktop control, Finder handoff, and global window snapping. Enter opens the selected item. Backspace moves it to Trash by default; Option+Up or Command+Up opens the parent folder. The Dialog Picker (Beta) works with native Open, Save, and browser upload dialogs. Cloud tools support Dropbox, Google Drive, and OneDrive actions, metadata, version history, and offline/online controls. Choose from 17 themes and Large Text modes. SADFinder is a universal SwiftUI app for Apple silicon and Intel Macs; file contents remain local and diagnostics are optional. Includes a 7-day no-card trial; plans are $5/month, $29/year, or $49 lifetime for up to three Macs.
    Starting Price: $5/month
  • 22
    Grit

    Grit

    Grit

    Put code migrations and dependency upgrades on autopilot. Grit has generated tens of thousands of successful changes for beta customers. Grit uses machine learning and static analysis to auto-generate pull requests for cleaning up technical debt. Without Grit, developers spend 33% of their work time on maintenance. Use Grit’s declarative syntax to define your own idioms. Grit detects dozens of common sources of technical debt and lets you fix them with an automated pull request in a single click. Write powerful AST-aware queries to find and fix antipatterns in your codebase. Grit runs on every pull request to hold the line on migrations and prevent sliding backward.
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    Spanlens

    Spanlens

    Spanlens

    Spanlens is an open-source (MIT) LLM observability platform that lets developers monitor every call their application makes to OpenAI, Anthropic, Gemini, Mistral, OpenRouter, Azure OpenAI, or a local Ollama model. Integration takes one line: swap your client's baseURL to the Spanlens proxy, or run "npx @spanlens/cli init" and the wizard rewrites your code automatically. From that moment, every request is recorded with its model, token counts, latency, cost, and full prompt and response body, with streaming responses reconstructed automatically. The dashboard turns that raw log into operational insight. Cost tracking breaks spend down per request, per model, and per end user, and parses prompt-cache tokens separately so you see real cache savings rather than sticker price. Agent tracing visualizes multi-step workflows as Gantt waterfalls and node-and-edge graphs, highlighting the critical path so you can find the slowest dependency chain in a fan-out.
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    LoopBack

    LoopBack

    LoopBack

    A highly extensible Node.js and TypeScript framework for building APIs and microservices. A brand new LoopBack core to deliver great extensibility and flexibility written in TypeScript/ES2017. Create powerful APIs easily with a new creative experience for defining REST APIs and handling API requests/responses. A new, improved programming model with dependency injection and new concepts such as components, mixins, repositories, etc. make this the most extensible version yet. The LoopBack 4 CLI is a command-line interface that can scaffold a project or extension. The CLI provides the fastest way to get started with a LoopBack 4 project that adheres to best practices. LoopBack is a highly-extensible, open-source Node.js framework that enables you to create dynamic end-to-end REST APIs with little or no coding. Access data from major relational databases, MongoDB, SOAP, and REST APIs. Incorporate model relationships and access controls for complex APIs.
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    Waterfall

    Waterfall

    Waterfall

    Waterfall is a credit infrastructure for platforms building on large language models, designed to turn AI usage into a business model without requiring teams to build their own billing stack. It gives each user, agent, or team a stablecoin-backed credit wallet, then meters every model call by provider, model, token count, and cost. Requests can be routed through the Waterfall Gateway or integrated through TypeScript and Python SDKs, with usage attributed to the correct wallet in real time. Each API call settles atomically against the wallet as it happens, so credits decrease, and revenue is recognized per request instead of through delayed invoices and manual reconciliation. Waterfall supports more than 300 models across providers such as OpenAI, Anthropic, DeepSeek, and xAI, allowing products to use multiple AI services while maintaining one accounting layer.
    Starting Price: $20 per month
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    Superexpert.AI

    Superexpert.AI

    Superexpert.AI

    Superexpert.AI is an open source platform that enables developers to build advanced, multi-task AI agents without writing code. It supports the creation of versatile AI solutions, from simple chatbots to sophisticated agents capable of handling hundreds of tasks. It is extensible, allowing integration of custom tools and functions, and is compatible with various hosting providers, including Vercel, AWS, GCP, and Azure. Superexpert.AI offers features like Retrieval-Augmented Generation (RAG) for efficient document retrieval, multi-model compatibility with AI models such as OpenAI, Anthropic, and Gemini, and a modern web application architecture built with Next.js, TypeScript, and PostgreSQL. It provides a user-friendly interface for configuring agents and tasks, making it accessible for users without programming experience.
    Starting Price: Free
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    Imaginary Programming

    Imaginary Programming

    Imaginary Programming

    Imaginary Programming lets you use OpenAI's GPT engine as a runtime to accomplish things you've never been able to do before in your code. All you do is define a function prototype in TypeScript (without an implementation!), and Imaginary Programming uses GPT to take care of the rest. Use Imaginary programming for any task where human-like intelligence around text is needed. You can install imaginary programming into your current JavaScript and TypeScript projects, or you can try the online Playground to experiment with Imaginary Programming.
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    Omnara

    Omnara

    Omnara

    Omnara gives developers an open-source way to deploy AI agents without building the systems that keep them running. Its API manages execution and agent state, while you decide which models, tools, and environments each agent uses. Build agents that customers can access inside your product, create internal assistants for Slack, or set up workflows for tasks like code review. You can launch and interact with agents through a REST API, TypeScript SDK, or CLI. Connect models from providers such as OpenAI, Anthropic, and OpenRouter, or use a compatible endpoint for a model you host yourself. Agents can work in managed sandboxes or on machines you connect. MCP integrations and reusable skills let them access tools and data. Omnara also includes team and project permissions, encrypted secrets, activity records, and human approval for sensitive actions. Its agents retain their state so they can continue after interruptions. You can use the cloud service or self-host the platform.
    Starting Price: Free
  • 29
    Copia

    Copia

    Copia

    Copia is an industrial DevOps platform built for operational technology environments, specializing in modernizing code management and control across diverse programmable logic controllers and automation devices. It offers Git-based source control tailored for industrial engineers, enabling live versioning of device code, code-to-device validation, multi-vendor support, and a unified repository for all automation code under one namespace. Key features include DeviceLink for device backup and change detection, continuous version matching to reveal when actual deployed logic diverges from documented code, and automated backups and disaster recovery functions that reduce downtime and the risk of costly manufacturing outages. It enables cloud-based management of PLCs and controllers across multiple sites, bringing visibility and governance to both engineers and executives, letting them track code changes, track shifts in production lines, and audit code history.
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    Atlantis

    Atlantis

    Atlantis

    Atlantis is self-hosted. Your credentials don't leave your infrastructure. Runs as a Golang binary or Docker image and can be deployed on VMs, Kubernetes, Fargate, etc. Listens for webhooks from GitHub/GitLab/Bitbucket/Azure DevOps. Runs terraform commands remotely and comment back with their output. Used by one of the world's top companies to manage over 600 Terraform repos with 300 developers. In production use for over 2 years. Each pull request now holds a detailed log of what infrastructure changes were made and when; along with who made the change and who approved it. Atlantis can be configured to require approvals on every production change. Pass audits without compromising your workflow. Developers can submit Terraform pull requests without needing credentials. Operators can require approvals prior to allowing an application. Ensure that you apply changes before merging to master.
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    Softagram

    Softagram

    Softagram

    Software projects tend to be complex and there is the law of entropy making it more complex all the time. The developers easily get lost in the dependency network and tend to create designs that does not stand time well. Softagram provides automatically illustrations on how the dependencies are changing. Automated integration works so that pull requsts (in GitHub, Bitbucket, Azure DevOps), merge requests (in GitLab) and patch sets (in Gerrit) are decorated with a dependency analysis report that pops up as a comment in the tool you already use. The analysis also covers other aspects such as open source licenses and quality. It can be tailored for your needs. Software audits can also be efficiently performed by using Softagram analysis together with Softagram Desktop app designed for advanced software understanding and auditing usage.
    Starting Price: $25 per month per user
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    Chromis POS
    As some of you may have noticed, that the Chromis Logo at the top has changed. After conversations with a number of individuals, it was decided that a cleaner looking logo was required. This logo will now be used in the next release of Chromis POS. We are currently working a new version of Chromis POS, the development is being done against OpenJFX version 11. The change to use OpenJFX as a development platform, has come about due the changes in the java licence model from Oracle. Some new features include a loyalty system and gift cards, also the embedded Derby database engine will be deprecated. Chromis POS has only just started on it journey of evolution, but it originally started its life after I came across an open source pos called Unicenta, which itself was a fork of Openbravo, when looking for a Point Of Sale (POS) solution for a friend to use in his tropical fish shop.
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    System Initiative

    System Initiative

    System Initiative

    System Initiative is a collaborative power tool designed to remove papercuts from DevOps work. Full-fidelity models use their relationships to infer configuration dynamically, then automatically generate any necessary code for you. Qualifications give immediate insight into the viability of your configuration, and let you encode policy directly into the simulation. A fully multiplayer visual interface provides easy collaboration between experts, the heart of DevOps work. Add new functionality, and enforce policy, everything is a TypeScript function sitting on a reactive hypergraph. We believe in the foundational aspirations of DevOps, but we know that the way we do DevOps today causes most of us to suffer thousands of tiny paper cuts and mediocre outcomes. We must change our assumptions about what’s possible if we want more. The heart of DevOps has always been collaboration across disciplines. It took a massive community to build what we have.
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    Briefkin

    Briefkin

    Briefkin

    Briefkin is a cloud dashboard for monitoring AI coding agents and automation jobs. It collects progress updates, completed work, blockers, decisions and metrics from tools such as Claude Code, Codex, Cursor, OpenCode and Gemini CLI, as well as scripts and cron jobs, and organizes them into project cards. Live task checklists and status updates help developers follow work across sessions, while action requests can be answered from the dashboard or through Telegram alerts. Users can send structured events through a documented HTTP API, create custom widgets, view metric trends, and run scheduled routines on their own computers with their chosen agents. A command-line installer configures supported agents, skills and hooks. Briefkin is aimed at developers and independent makers coordinating multiple agents and automations. The hosted service is free during its open beta.
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    BabyAGI

    BabyAGI

    BabyAGI

    This Python script is an example of an AI-powered task management system. The system uses OpenAI and Chroma to create, prioritize, and execute tasks. The main idea behind this system is that it creates tasks based on the result of previous tasks and a predefined objective. The script then uses OpenAI's natural language processing (NLP) capabilities to create new tasks based on the objective, and Chroma to store and retrieve task results for context. This is a pared-down version of the original Task-Driven Autonomous Agent. The script works by running an infinite loop that does the following steps: 1. Pulls the first task from the task list. 2. Sends the task to the execution agent, which uses OpenAI's API to complete the task based on the context. 3. Enriches the result and stores it in Chroma. 4. Creates new tasks and reprioritizes the task list based on the objective and the result of the previous task.
    Starting Price: Free
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    KitOps

    KitOps

    KitOps

    KitOps is a packaging, versioning, and sharing system for AI/ML projects that uses open standards so it works with the AI/ML, development, and DevOps tools you are already using, and can be stored in your enterprise container registry. It's AI/ML platform engineering teams' preferred solution for securely packaging and versioning assets. KitOps creates a ModelKit for your AI/ML project which includes everything you need to reproduce it locally or deploy it into production. You can even selectively unpack a ModelKit so different team members can save time and storage space by only grabbing what they need for a task. Because ModelKits are immutable, signable, and live in your existing container registry they're easy for organizations to track, control, and audit.
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    Edka

    Edka

    Edka

    Edka automates the creation of a production‑ready Platform as a Service (PaaS) on top of standard cloud virtual machines and Kubernetes. It reduces the manual effort required to run applications on Kubernetes by providing preconfigured open source add-ons that turn a Kubernetes cluster into a full-fledged PaaS. Edka simplifies Kubernetes operations by organizing them into layers: Layer 1: Cluster provisioning – A simple UI to provision a k3s-based cluster. You can create a cluster in one click using the default values. Layer 2: Add-ons - One-click deploy for metrics-server, cert-manager, and various operators; preconfigured for Hetzner, no extra setup required. Layer 3: Applications - Minimal config UIs for apps built on top of add-ons. Layer 4: Deployments - Edka updates deployments automatically (with semantic versioning rules), supports instant rollbacks, autoscaling, persistent volumes, secrets/env imports, and quick public exposure.
    Starting Price: €0
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    PVS-Studio

    PVS-Studio

    PVS-Studio

    PVS-Studio is a static application security testing (SAST) solution that helps enhance code quality, security, and safety. It detects bugs and potential vulnerabilities in C, C++, C#, Java, JavaScript, TypeScript and Go code on Windows, Linux, and macOS. Features - Supports various analysis types: intermodular, incremental, data flow analysis, taint analysis; - Integrates into cloud platforms; - Works offline & on-premise; - Provides cross-platform integration; - Offers ways to handle false positives; - Quick technical support directly from developers; - 1200+ diagnostic rules with detailed descriptions and examples; - Compliance with safety & security standards: OWASP TOP 10, MISRA C/C++, CWE, SEI CERT; - Detailed reports and reminders for developers and managers; - Integration with popular IDEs, code quality platforms, CI/CD, build systems.
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    AssemblyScript

    AssemblyScript

    The AssemblyScript Project

    A TypeScript-like language for WebAssembly. AssemblyScript targets WebAssembly's feature set specifically, giving developers low-level control over their code. Its similarity with TypeScript makes it easy to compile to WebAssembly without learning a new language. Integrates with the existing Web ecosystem - no heavy toolchains to set up. Simply npm install it! AssemblyScript is free and open source software released under the Apache License, Version 2.0, builds upon Binaryen and is based on the WebAssembly specification. It is brought to you by the following awesome people:
    Starting Price: Free
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    LLMeter

    LLMeter

    LLMeter

    LLMeter is an open source AI cost monitoring platform that gives developers one dashboard for tracking spend across OpenAI, Anthropic, DeepSeek, OpenRouter, Mistral, and Azure OpenAI. Teams connect read-only provider keys and can see real costs, daily trends, model-level breakdowns, and optimization opportunities in about 30 seconds without installing an SDK, changing endpoints, or routing production traffic through a proxy. Because requests continue going directly to the model provider, LLMeter adds no latency, does not become a point of failure, and never sees prompts or completions. Budget alerts warn teams before spending crosses daily or monthly limits, while anomaly detection identifies unexpected usage spikes before they grow. The dashboard shows which providers, models, endpoints, customers, and environments are driving costs, and OpenRouter support extends visibility across more than 500 models.
    Starting Price: $19 per month
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    Astah Professional

    Astah Professional

    Change Vision, Inc.

    Astah Professional is an all-in-one modeling tool for software and system design, developed by Change Vision, Inc. It supports UML 2.x, ER diagrams, data flow diagrams (DFD), flowcharts, requirement diagrams, CRUD, and mind maps in a single tool. Unlike drawing tools, Astah creates models: a change to a model element is reflected in every diagram that uses it, so your diagrams stay consistent. AI features include AI Chat Copilot and AI-assisted code reverse engineering, which use your own API key for OpenAI, Azure OpenAI, Claude, Gemini, or an OpenAI-compatible service. A local MCP server lets external AI agents work with your Astah models. Conventional reverse engineering of Java, C#, and C++ code is also included. Astah Professional is a desktop application for Windows, macOS, and Linux, with a bundled Java runtime, so no separate Java installation is required. A 20-day free trial is available. Latest version: 12.0 (released July 15, 2026).
    Starting Price: $11.99 per month
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    Prometheus by Firecrawl
    Prometheus by Firecrawl turns plain-English data requests into verified, reproducible Firecrawl collectors and keeps them fresh. Describe the data you want in everyday language, and Prometheus uses Firecrawl to collect it, experimenting against the live site with search, scrape, map, crawl, and interact capabilities before returning working code. A build produces a genuine TypeScript Firecrawl SDK collector, the sample data it generated, and useful context about how it works, so another agent or a developer can embed the code directly. The code is reproducible, versionable, and entirely yours: keep it, modify it, run it yourself, or deploy it through Prometheus. When saved as a Script, the collector becomes versioned and can self-heal when the target site changes, with successful repairs appended as new versions. Deployments let a script re-collect on a cron schedule, serve fresh data on demand as an API endpoint, or do both.
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    OpenCheese AI

    OpenCheese AI

    OpenCheese AI

    OpenCheese AI is a hosted AI gateway and API for developers who want to connect applications and coding tools to multiple AI models through a unified service. It provides OpenAI-compatible endpoints and an Anthropic Messages-compatible interface, with model selection, API-key management, usage and balance tracking, and access to models from providers including OpenAI, Anthropic, Google, and DeepSeek. Developers can configure supported coding clients and applications to send requests through OpenCheese rather than managing separate provider credentials for each connection. The service offers both credit-based usage and time-limited plans with included balances; available models, rates, and free-model options depend on the selected model and plan. It is intended for developers evaluating or building text, coding, and image-generation workflows with hosted AI models.
    Starting Price: $9.99/month
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    Mesa

    Mesa

    Mesa.dev

    Mesa is an AI-powered code review platform designed to help engineering teams improve software quality and ship code with confidence by eliminating technical debt before it reaches production. Mesa’s intelligent agents learn the unique aspects of a team’s codebase, business logic, and development standards to deliver contextual, precise reviews that go beyond simple linting or generic AI suggestions. Users can create custom review agents tailored to specific concerns such as security, performance, and domain-specific logic, and choose from hundreds of underlying models from providers like OpenAI, Anthropic, and Google, optimizing for speed, cost, or intelligence. It generates detailed, consistent pull request descriptions using team templates and integrates directly into existing CI/CD pipelines, adapting to workflows and branching strategies to embed quality checks into everyday development processes.
    Starting Price: Free
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    OpenComputer

    OpenComputer

    OpenComputer

    OpenComputer is a managed cloud runtime for building and deploying TypeScript AI agents. Developers define agent behavior, select models and tools, and deploy agents with durable sessions, streaming, schedules, memory and versioned environments. APIs and service connections let teams use agents in applications and workflows such as coding assistance and background automation.
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    Literal AI

    Literal AI

    Literal AI

    Literal AI is a collaborative platform designed to assist engineering and product teams in developing production-grade Large Language Model (LLM) applications. It offers a suite of tools for observability, evaluation, and analytics, enabling efficient tracking, optimization, and integration of prompt versions. Key features include multimodal logging, encompassing vision, audio, and video, prompt management with versioning and AB testing capabilities, and a prompt playground for testing multiple LLM providers and configurations. Literal AI integrates seamlessly with various LLM providers and AI frameworks, such as OpenAI, LangChain, and LlamaIndex, and provides SDKs in Python and TypeScript for easy instrumentation of code. The platform also supports the creation of experiments against datasets, facilitating continuous improvement and preventing regressions in LLM applications.
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    AtomGit

    AtomGit

    AtomGit

    AtomGit is an open source code hosting and collaborative development platform that brings code hosting, project management, team collaboration, CI/CD, and open source operations into one environment. Developers can create public or private repositories, manage branches and releases, review code through pull requests, track issues and tasks, edit files online, configure permissions, and view project statistics. Its native AtomGit Action automation engine follows a Pipeline as Code approach, allowing teams to define build, test, and deployment workflows in YAML, store them alongside application code, and trigger them from events such as pushes, pull requests, or comments. Reusable workflows, artifacts, dependency caching, encrypted secrets, concurrency controls, and hosted or self-hosted runners support more advanced delivery pipelines. It also includes WebIDE capabilities for browser-based development without a local environment and supports code, model, and dataset.
    Starting Price: Free
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    AgentWebhook

    AgentWebhook

    AgentWebhook

    AgentWebhook is a secure webhook relay built for pull-based delivery. Instead of exposing public endpoints, external services like Stripe, GitHub, Shopify, or Slack send webhooks to AgentWebhook. Your environment then pulls payloads securely over HTTPS when ready. This removes the need to open inbound ports, configure reverse proxies, or expose automation servers to the internet. Designed for n8n, OpenClaw, Zapier, internal workers, and private automation environments, AgentWebhook gives you control over timing, retries, and processing. Includes REST API and CLI access, with built-in deduplication. AgentWebhook is ideal for teams running Docker, VPS, or firewall-restricted infrastructure who want secure, controlled webhook ingestion without public exposure.
    Starting Price: $29/month
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    Atlarix

    Atlarix

    NorahLabs

    Atlarix is a private AI coding agent for developers. Use its macOS, Windows or Linux desktop app, terminal CLI, or extensions for VS Code, Cursor, Kiro, Zed, JetBrains IDEs and Chrome. Choose Atlarix Auto, Atlarix Core, your own provider API key or a local model. It offers Explore, Plan, Build, Debug and Review modes; Explore and Build sub-agents; MCP servers, skills and automations that wake the agent when they finish. A cloud agent runs in your GitHub Actions and opens pull requests. Atlarix Reviewer checks pull requests without running or changing code. Edits wait for your approval, and commands run in a sandbox. Only the file content needed for a request goes to cloud models; local models keep it on your machine. Free Atlarix Auto prompts are shared with its AI providers after you approve. Every feature is available on Free, but Core, Reviewer and Chrome use pay-as-you-go credit. Pro is $19/month, with Core and Chrome usage included for everyday work and Reviewer included.
    Starting Price: $19/month
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    UnoRouter

    UnoRouter

    UnoRouter

    UnoRouter is an OpenAI-compatible LLM gateway. One API key gives you 200+ models across providers (OpenAI, Anthropic, Google and more), drop-in for coding agents like Claude Code, Cline, Codex and Kilo Code. Point any OpenAI SDK at the base URL and switch models without changing code. UnoRouter also includes a built-in chat and character client (personas, lorebooks, SillyTavern card import) on the same key. Usage-based pricing with a free tier, live model and price data.
    Starting Price: Free tier, usage-based