Business Software for Python - Page 30
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Top Software that integrates with Python as of November 2026 - Page 30
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1
Dokploy
Dokploy
Dokploy is an open source, self-hostable Platform as a Service that simplifies the deployment and management of applications and databases. Built for developers seeking control and flexibility, it gives teams a straightforward way to deploy apps on their own infrastructure with full control, no vendor lock-in, and none of the Kubernetes complexity. Dokploy can be installed with a single command and used to deploy projects in minutes, centralizing control of applications, databases, logs, monitoring, backups, and multi-server environments in one clean interface. It supports single services and multi-service apps, with native Docker Compose support, Git-based deployments, container registry deployments, custom Docker images, Dockerfiles, Nixpacks, and Buildpacks, so teams can choose the build strategy that fits each project without reworking their pipeline.Starting Price: $4.50 per month -
2
Azure DocumentDB
Microsoft
Azure DocumentDB is an open source, MongoDB-compatible document database service built to help teams build AI-driven apps, migrate MongoDB workloads, and standardize on a portable document database engine. It supports hybrid and multicloud architectures with enterprise-grade performance, availability, security, management, and easy Azure AI integration. Built on DocumentDB, the open-source engine hosted at the Linux Foundation, Azure DocumentDB gives developers transparency, community-driven innovation, and freedom from restrictive licenses while supporting familiar MongoDB skills, drivers, tools, APIs, BSON and JSON documents, and popular languages such as Node.js, Python, Java, and .NET. Teams can build and test MongoDB-compatible apps in their own environment, including local, on-premises, and other clouds, then deploy to Azure DocumentDB for enterprise-grade scale and management.Starting Price: $13.943 per month -
3
Ornith-1.0
DeepReinforce
Ornith-1.0 is a self-improving family of models built specially for agentic coding tasks. It spans the full spectrum from compact 9B Dense models suitable for edge device deployment to 397B MoE frontier-scale models optimized for maximum performance, with variants including 9B Dense, 31B Dense, 35B MoE, and 397B MoE. Built on top of pretrained Gemma 4 and Qwen 3.5, Ornith-1.0 achieves state-of-the-art performance among open-source models of comparable size on coding benchmarks. Its key innovation is a self-improving training framework that learns to generate both solution rollouts and the task-specific scaffolds that guide those rollouts. Instead of relying on fixed, human-designed harnesses, Ornith-1.0 treats the scaffold as a learnable object that co-evolves with the policy, allowing the model to jointly optimize the orchestration and the final solution.Starting Price: Free -
4
Sendmux
Sendmux
Sendmux gives AI agents their own inbox and a controlled way to send email. Each agent can receive messages, read threads, handle attachments, send replies, and react to new mail through signed webhooks or Server-Sent Events. Teams can send through Gmail OAuth, Outlook OAuth, SMTP providers, or managed Amazon SES. Sendmux can spread sending across providers with weighted routing, sender-domain routing, health checks, failover, and quotas by second, minute, hour, or day. Developers get Mailbox, Sending, and Management APIs, OpenAPI docs, SDKs, the sendmux CLI, MCP tools, and Sendmux Skills. The platform also covers tenant isolation, mailbox-scoped API keys, custom domains, logs, metrics, and usage-based pricing with no per-seat or per-mailbox fees.Starting Price: $0.15 per 1000 emails -
5
Open Voice OS
Open Voice OS
Open Voice OS is a community-driven, open source voice AI platform for creating custom voice-controlled interfaces across devices with NLP, a customizable UI, and a focus on privacy and security. Built by developers from Linux and FOSS communities around the globe, it is an open platform for making cutting-edge voice assistance technology available to everyone. Open Voice OS is multi-platform, designed for embedded headless devices, single-board computers with screens, DIY smart speakers, Raspberry Pi devices, Mark I and Mark II devices, Linux desktops, laptops, and Docker containers. As a voice operating system, OVOS goes beyond a traditional “Hey Mycroft…” assistant and provides the foundational tools and frameworks for integrating voice interaction into robots, automation systems, smart furniture, mirrors, cloud-based voice services, embedded devices, and smart TVs.Starting Price: Free -
6
Gemini Managed Agents
Google
Gemini Managed Agents provides a visual way to prototype and learn how to build managed agents without having to create and write API calls. Managed agents on the Gemini API give developers a configurable agent harness where a single API call provisions a secure Linux sandbox for the agent to reason, execute code, manage files, and browse the web autonomously. In AI Studio Playground, users can switch to the Agents tab and start from pre-built templates that configure the base Antigravity Agent with tools, environment settings, instructions, and skills. The Antigravity Agent is a general-purpose managed agent powered by Gemini 3.5 Flash, able to run code, manage files, search the web, and be extended with custom instructions, skills, and data. Agent behavior, persona, and capabilities are defined through files in the environment, including AGENTS.md for system instructions and persona, and SKILL.md files for specific capabilities and workflows.Starting Price: $1.50 per 1M tokens -
7
Engram
Weaviate
Engram is a fully managed memory and context service purpose-built to help AI agents remember, learn, and improve over time. Instead of treating memory as an ever-growing pile of raw conversations and events, it turns noisy interaction data into structured, durable, and evolving memories. Applications can send raw text, complete conversations, or pre-extracted facts through a REST API or Python SDK without preprocessing. Engram then runs asynchronous pipelines that extract relevant information, transform it by deduplicating and reconciling it with existing knowledge, and commit a clean memory state without blocking the application’s main workflow. It resolves inconsistencies, adapts to changing preferences and time-evolving facts, and keeps context relevant and efficient. Agents can retrieve ranked memories in real time through vector similarity, BM25 keyword search, or hybrid retrieval, reducing the need to resend entire conversation histories.Starting Price: $45 per month -
8
Morph by Modelcode
Modelcode
Morph is an AI-powered code modernization platform that automates repository migrations from one technology stack to another while keeping engineering teams in control. Users connect one or more GitHub, GitLab, or Azure DevOps repositories, define goals in plain language, and configure how the application installs, builds, runs, health-checks, and tests. Morph analyzes the codebase, documents its architecture, frameworks, dependencies, component relationships, patterns, and conventions, then generates a detailed Project Spec for review and explicit approval before producing code. Modernization is divided into logical milestones rather than one massive change, with each milestone delivered through a pull request that teams can inspect, comment on, and merge. Project Knowledge stores the migration scope, lifecycle configuration, milestones, wikis, design decisions, and enforceable rules, giving agents shared context that grows as work progresses.Starting Price: $0.01 per extra credit -
9
Gemini 3.5 Flash-Lite
Google
Gemini 3.5 Flash-Lite is Google’s fastest model in the Gemini 3.5 series, designed for low-latency tasks and high-throughput developer workflows such as agentic search, document processing, coding, and large-scale data analysis. It delivers 350 output tokens per second and significantly improves on previous Flash-Lite generations in both quality and agentic performance. Developers can configure its thinking level to match the workload: minimal or low thinking supports fast execution for high-volume tasks, while higher thinking levels enable more complex, multi-step subagent workflows. Built-in computer-use capabilities allow the model to interact reliably with digital environments across supported surfaces. Gemini 3.5 Flash-Lite also advances coding, long-context understanding, and real-world task execution, outperforming Gemini 3.1 Flash-Lite across key evaluations and even surpassing Gemini 3 Flash on several agentic and software-engineering benchmarks.Starting Price: $0.30 per 1M input tokens -
10
LM Studio Bionic
LM Studio
LM Studio Bionic is an AI agent built for getting real work done with open models across coding, research, documents, files, and general knowledge work. It gives users flexible control over where models run: locally on their device, through LM Link, or with frontier open-source models in LM Studio Secure Cloud for heavier tasks. Local models are powered by the LM Studio runtime and can be downloaded directly inside the app, while cloud requests use Zero Data Retention and are processed without being stored after completion. For coding, users can connect a local folder as a Code project and ask Bionic to inspect a codebase, explain unfamiliar logic, search for relevant files, trace behavior, edit code, or debug issues. Inline diffs make changes easy to review as the agent works. Work projects support documents, PDFs, presentations, spreadsheets, and local directories, allowing Bionic to generate new files, organize materials, summarize content, edit existing work, and more.Starting Price: Free -
11
Autoplot
Autoplot
Autoplot is a native macOS workspace that unifies scientific data import, analysis, plotting, annotation, and publishing without the usual copy-and-paste cycle between chatbots, terminals, and image editors. Users can import local files or SFTP data, define delimiters, headers, and encoding, merge files into one project, and apply assistant-written Python locally for filtering, splicing, or derived variables. Pre-vetted analysis cards cover CCDF, AUC, log-binned distributions, power-law and truncated fits, Xmin diagnostics, finite-size scaling, scaling relations, correlation matrices, and correlation networks, while custom statistics can be generated and run through the built-in Python environment. Results remain reusable, so they can be replotted, refitted, layered, composed, or exported without rebuilding the workflow. Autoplot supports X&Y plots, histograms, heat maps, categorical charts, 3D scatter, surface, and line plots, plus unlimited overlays, fits, and contours.Starting Price: $7.99 per month -
12
Voltra
Voltra
Voltra is an Energy Cloud Platform that makes complex physical systems simpler through software by managing the full site and device lifecycle, from initial connection and configuration to long-term maintenance. Its foundation, Voltra Fabric, connects devices across vendors, protocols, generations, and standards through protocol-blind adapters, then models every device, system, component, and relationship in one governed, vendor-agnostic graph—a live digital twin and source of truth for the site. Fabric uses that model to configure interoperability and keep connections, data, and settings current as firmware, sites, and assets evolve. Operators can see an entire site from the browser, monitor faults, usage, profiles, performance, telemetry, and alerts in real time, and securely route device traffic or export data to external lakes and observability platforms. Developers can manage the same infrastructure through a scriptable CLI, REST and OpenAPI interfaces.Starting Price: $199 per month -
13
Kastra
Kastra
Kastra is the authorization layer for AI systems, deciding what agents, models, and AI tools are allowed to do before they do it. It sits in the execution path of every prompt, tool call, shell command, database operation, and API request, evaluates each action against deterministic, attribute-based policy, and returns an allow, deny, redact, or escalate decision in under a millisecond. Unlike monitoring products that observe AI after it acts, Kastra blocks unauthorized behavior before it reaches a tool, API, database, or production system. Its unified control plane combines a policy engine, edge decision points, integrations, and a tamper-evident evidence vault that signs every decision for audit and replay. Kastra Edge brings local enforcement to developer machines, protecting Claude Code, Cursor, Codex CLI, and other coding agents from destructive commands, secret exfiltration, unsafe file writes, and unauthorized tool use.Starting Price: $19.99 per month -
14
Flint AI
SandboxAQ
Flint AI is a local-first, framework-agnostic AgentOps CLI that helps developers determine whether an AI agent is reliable before it reaches production. One command, flintai scan, analyzes Python source code for security vulnerabilities, misconfigurations, risky tool access, missing guardrails, and quality issues, then uses AI reasoning to triage likely false positives. A second command, flintai eval, sends functional and adversarial prompts to a running agent and scores its responses across more than 35 built-in evaluations, including factual accuracy, instruction adherence, prompt injection resistance, jailbreak resilience, and other runtime behaviors. Each agent receives a reliability score, with findings mapped to OWASP Agentic Security Initiative risks ASI01 through ASI10 and severity scored using CVSS v4.0. Flint AI works with agent frameworks and SDKs including Claude Agents SDK, LangChain, CrewAI, Anthropic SDK, OpenAI SDK, MCP servers, and AutoGen.Starting Price: Free -
15
Prefactor
Prefactor
Prefactor is a real-time evaluation, observability, and reliability platform for production AI agents. It scores every run the moment it happens for quality, drift, cost, and data risk, then wires those evaluations into action so a failing agent is caught live instead of only appearing on a dashboard afterward. Teams can observe every model call, tool invocation, and decision as structured traces and spans, run LLM-as-judge, technical, qualitative, and custom evaluations on each step, and attach context from GitHub, Linear, Jira, databases, internal APIs, or other sources as ground truth. When a run crosses a defined threshold, Prefactor can block or throttle it, pause a sensitive action, or route it to a person for approval, modification, or rejection before execution, with every decision logged. The CLI discovers agents without a platform migration, while TypeScript and Python SDKs provide native support for LangChain, Claude, Vercel AI, OpenClaw, and LiveKit.Starting Price: $250 per month -
16
DevPod
vCluster
DevPod is an open source tool for creating and managing reproducible developer environments as code without a heavyweight server-side setup. It uses the open devcontainer.json standard to define each workspace, so projects can carry their development environment with them and deliver a consistent experience across teams. Workspaces run in separate containers and can be created on a local laptop, a reachable remote machine, a Kubernetes cluster, or public and private cloud infrastructure through DevPod providers. Developers can switch between local and cloud-powered environments while managing every workspace in the same way. DevPod is client-only and available as both a desktop application and a programmable CLI, with no backend service required. It works with public and private Git repositories, supports any programming language, and can automatically analyze projects and create a best-estimate environment when no devcontainer configuration is present.Starting Price: Free -
17
JAMS Incident Management
JAMS Software
JAMS Incident Management makes sure the right person knows when something breaks, then keeps escalating through voice, SMS, push, email, Microsoft Teams, and Slack until someone acknowledges it. Alerts can come from monitoring tools, email, webhooks, or the API, so it works with any team and any stack. Where most alerting tools stop at notifying, this one can also act: a responder can restart, continue, or cancel a failed job directly from the alert, and acknowledging it updates the source system automatically, so nothing gets tracked twice. JAMS Scheduler is not required, but a failed job can open an incident automatically for teams that use it. On-call gaps are expensive because they compound quietly: a missed alert becomes a longer outage, and a longer outage becomes lost trust. The reason to look at this now is the gap between detecting a problem and getting a human to fix it, which is exactly where most incidents actually go wrong.Starting Price: $6/user -
18
Assistable
Assistable
Assistable is an AI conversation platform for building, testing, deploying, and observing hybrid AI agents that answer calls, texts, WhatsApp messages, and web chats with one persistent memory across every channel. Agents can handle full customer conversations, understand intent, pull information, qualify leads, book, reschedule, or cancel appointments, create tickets, update contacts, add notes and tasks, and escalate to humans when configured to do so. Because memory carries across channels, a customer can call first and continue later by text or chat without repeating the conversation. Users can describe what an agent should do in plain English, connect Assistable through MCP, and have the system create the agent, attach tools, connect channels, and assign a phone number. Agents can read live calendar availability, follow up with leads, and support both inbound and outbound conversations.Starting Price: $225 per month -
19
Waterr
Waterr
Waterr is an AI meeting platform that lets teams delegate live conversations to autonomous AI personas that can see, hear, and speak with participants. Users describe what a meeting is for in plain English or start from a ready-made template, with scenarios for candidate screening, sales discovery, customer onboarding, coaching, feedback interviews, support, research, and recurring operational workflows. Each persona can have its own face, real-time voice, background, and conversation behavior, creating an experience designed to feel more like a meeting with a person than a chatbot. Teams can preview the persona, scenario prompt, and full conversation flow, then test it instantly in a real meeting before sharing it with participants. The same scenario can also be embedded on a website as an avatar, inline widget, or talk-to-us button. For developers, Waterr provides one API for creating AI meetings, with authentication, SDKs, webhooks, rate limits, and support for custom avatars.Starting Price: $29 per month -
20
Kilo Gateway
Kilo
Kilo Gateway is a universal AI inference gateway that routes LLM requests to any provider through one standardized endpoint, giving developers access to hundreds of hosted and open models without rewriting their applications for each provider. It provides unified access to models from Anthropic, OpenAI, Mistral, and other providers, while also supporting bring-your-own-key configurations that let teams connect existing provider credentials through centralized infrastructure. The gateway is compatible with standard AI SDKs, making it possible to switch providers while keeping the same integration surface. Its infrastructure handles routing complexity and load balancing across direct providers and external gateways to improve availability and resilience. Auto Model can route each request to the best available model while keeping routing decisions, model behavior, and usage visible and controllable.Starting Price: $19 per month -
21
Mireye
Mireye
Mireye is infrastructure for physical-world AI agents, providing one API for data, enrichment, tools, and signals. Agents such as Claude, ChatGPT, Gemini, Cursor, Grok, Copilot, DeepSeek, or custom systems can ask questions about places through one API with MCP tools and receive cited data indexed from the physical world. Mireye can resolve an address, fetch location-specific fields, measure distances, and return the plan it executed so results can be replayed. Its geocoding endpoint converts U.S. street addresses into coordinates while reporting how each location was derived and refusing low-confidence matches rather than guessing. Lookup expands a point into place context such as county, census tract, congressional district, metro area, timezone, elevation, and flood status. Fetch returns typed values for requested fields or presets at U.S. locations, with a source, fetch time, and confidence attached to every value.Starting Price: $19 per month -
22
Isle
Isle
Isle provides managed desktop application environments for computer-use agents, with guardrails, application monitoring, and artifact checkpoints built in. Instead of giving an agent a generic machine and leaving it to manage the application itself, Isle wraps each application in the monitoring, containment, and recovery controls needed to complete real work. Environments launch with the intended software already installed, configured, and open, while health checks verify that the application itself is ready rather than simply confirming that the underlying machine is online. Developers can connect any computer-use model or agent loop using familiar screenshot, mouse, keyboard, file-transfer, and execution primitives. Artifact checkpoints protect useful progress before important actions and can be restored if something goes wrong, while recovery controls allow agents to restart applications and return to the latest safe state.Starting Price: $29 per month -
23
CybeDefend
CybeDefend
Your AI agent ships thousands of lines a day, and most of them never get a real review. CybeDefend works inside the agent while it codes. One command installs VibeDefend on Claude Code, Cursor, Windsurf, GitHub Copilot, Codex and other agents. From then on the agent writes with your business rules in its context, mined automatically from your repo (tenant scoping, soft delete, audit on write), next to your security rules (OWASP, SOC 2, GDPR, ISO 27001). It scans each diff while the file is still open, and a guard refuses commands like rm -rf, sudo or a read of your secrets before they run. Behind it sits a full AppSec platform with SAST, SCA, secrets, IaC, CI/CD and container scanning, plus AutoFix. The free plan needs no card and includes 10 static scans and 50 AI credits. Paid plans start at $19 a month. npx -y @cybedefend/vibedefend@latest installStarting Price: $19/month -
24
OSINTverse
OSINTverse
OSINTverse is an open-source intelligence ecosystem that provides investigation tools, data-provider integrations, APIs, educational content, and community resources. Its SearchIn platform offers a UI-first investigation workspace where users can start with an identifier, query multiple integrated OSINT providers, and organize findings into cases. GraphIn provides a graph-first workflow for starting with an entity, expanding relationships through transforms, triaging results, and sharing investigation snapshots. Both products use the same prepaid wallet, with no subscription or per-seat requirement and credits that do not expire. OSINTverse also provides a SearchIn API for engineering teams, shared team workspaces, and integrations with providers such as Shodan, SecurityTrails, DeHashed, Snusbase, Hunter.io, BuiltWith, WhoisXML, and OSINT Industries.Starting Price: $10 -
25
Holo4
H Company
Holo4 is a family of generalist agentic AI models from H Company designed to operate software across graphical interfaces, code environments, MCP servers, APIs, desktop applications, the web, and mobile devices. The family includes a 27B dense model and a 35B-A3B Mixture-of-Experts model with 3B active parameters, both supporting a 256K context window. Unlike agents optimized around a single interface, Holo4 can click and type on screens, write and execute code, and call MCP or API tools depending on what a task requires. The models were trained with supervised fine-tuning and reinforcement learning on agentic workflows spanning desktop, web, MCP/API, mobile, coding, multimodal reasoning, and GUI grounding. Holo4 27B achieved 85.2% on OSWorld at a reported cost of $0.08 per task, while Holo4 35B-A3B scored 80.8% at $0.05 per task in H Company's evaluation.Starting Price: $0.40 per 1M tokens (input) -
26
Laya AI
Laya AI
Laya AI is an open source family of non-autoregressive System 1 decision models built for fast, typed decisions instead of free-form text generation. Given a state and structured questions, Laya evaluates them in a single forward pass and returns outputs that application code can use directly. It supports three decision types: choice, which selects among named options and returns probabilities; score, which places an input on an ordered rubric such as urgency or severity; and noul, which estimates the probability that a proposition is true. Laya is designed for workloads such as agent and model routing, support ticket triage, guardrails, intent classification, risk and fraud scoring, workflow escalation, RAG filtering, moderation, and phishing detection. It can route requests by department, score urgency, flag refund or churn signals, detect policy or abuse conditions, and escalate uncertain cases to a larger model or human reviewer.Starting Price: Free -
27
Tev1
Together AI
Tev1 is a fast decision and classification model built by Together AI and fine-tuned from Qwen3.5 4B. It is designed around a simple interface: provide a piece of state, a question, and 2 to 24 labeled options, and the model returns exactly one letter that software can map back to a semantic key. This structure supports production tasks such as routing support tickets, evaluating automated returns, applying policy rules, rating sentiment, categorizing documents, and inserting deterministic decision points into larger agent pipelines. The model has 4.7B parameters, a 32.8K-token context window, and runs with non-thinking generation for fast, predictable classification. It was trained on 37,840 examples spanning intent detection, boolean comprehension, sentiment, policy application, routing, news categories, and research-paper taxonomy. Recommended settings use temperature 0 and a very small output budget so responses remain stable and easy to parse.Starting Price: $0.04 per 1M tokens -
28
Span-01
Respan
Span-01 is a hyper-parallel reasoning classifier built to detect complex behaviors across long production traces in a single forward pass. Rather than generating tokens sequentially, it reasons over natural-language behavior definitions and returns direct probabilities for present, absent, and not_observable. The model is trained for general classification reasoning with RLAIF before being specialized for behavior detection, allowing it to apply previously unseen definitions to new behaviors and domains instead of relying on a fixed taxonomy. At inference time, hyper-parallel definition branches evaluate multiple behaviors against the same trace context simultaneously, while hybrid attention helps preserve reasoning over long, complex inputs. Span-01 is designed for production monitoring across safety, reliability, grounding, agent behavior, and response quality, including jailbreak and prompt injection detection, privacy, and secrets.Starting Price: $199 per month -
29
boat
boat
boat provides powerful cloud virtual machines and persistent sandboxes built for long-running AI agents, allowing users to spawn thousands of cloud computers with browsers and persistent files without managing the entire infrastructure themselves. Each sandbox is a full Ubuntu Linux virtual machine with SSH and SCP access, Docker support, dedicated IPv4 or IPv6 addresses, a 60 fps virtual desktop, and fast disk-level forking from snapshots. Docker, VS Code, Chrome, Ghostty, GitHub CLI, Rust, Node.js, and Bun come pre-installed, enabling users to run any development tool, language, or workflow. Boat supports agents such as Claude Code, Codex, and OpenCode, with tools to prompt, observe, and control agent environments remotely through its CLI, HTTP API, and Python or TypeScript SDKs. Users can execute commands, copy files, monitor agent messages and tool calls, host applications through public HTTPS URLs, and access integrated desktops and browsers.Starting Price: $20 per month -
30
ZeroKYC Pay
ZeroKYC Payments
ZeroKYC Pay is a hosted cryptocurrency payment gateway for businesses offering VPS, VPN, proxy, hosting, and other digital services. Merchants can create payment invoices through a web console or REST API, then direct customers to hosted checkout to choose among supported digital assets and networks. In direct-checkout mode, payments go to the merchant’s own wallet while the service monitors transactions and sends signed webhooks with payment updates. The platform provides invoice status tracking, payment confirmation controls, webhook verification guidance, and developer SDKs for Node.js, PHP, and Python. Businesses can use hosted checkout with little setup or connect payment flows to their own applications through the API. The service is aimed at online providers that want to accept cryptocurrency without placing their wallet keys in the gateway or building blockchain payment monitoring themselves.Starting Price: $29/month
