Business Software for Python - Page 28
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ESMC
Biohub
ESMC is the latest in the ESM family of protein language models, establishing a new frontier in representation learning for protein biology. Trained on billions of evolutionary sequences, it learns representations that reflect a mechanistic reduction of protein structure and function. The model is built on a transformer architecture, supports sequences as its core modality, and is trained on up to 6 billion proteins. ESMC is designed for protein science research, including structure prediction, function annotation, protein design, and understanding evolutionary relationships between proteins. It can generate novel proteins from partial sequence, structure, or functional constraints, helping researchers explore new possibilities in protein design and biological discovery. The Biohub Platform provides access to ESMC through the API and the ESM Python package, with quickstart resources for installing the package, creating an API key, connecting to the platform.Starting Price: Free -
2
ESMFold2
Biohub
ESMFold2 is the successor to ESMFold, setting a new state of the art for single-sequence structure prediction and enabling the generation of new functional proteins through searching the ESMC model’s latent space. The model predicts high-resolution, all-atom 3D structures of biomolecular complexes directly from sequence, with optional multiple sequence alignment input for enhanced accuracy on challenging targets. It is designed for structure prediction using sequence and structure modalities, with ESM representations powering a series of looped folding layers and a diffusion model projecting pairwise representations to atomic-resolution predictions. ESMFold2 predicts protein structures directly from amino acid sequences and outputs comprehensive structural information, including all-atom coordinates for backbone and side chains, confidence metrics, and optional distogram predictions for detailed structural analysis.Starting Price: Free -
3
OrcaRouter
OrcaRouter
OrcaRouter is an OpenAI-compatible AI model router that sends each prompt to the right model across OpenAI, Anthropic, Gemini, DeepSeek, Qwen, Kimi, and 200+ frontier and open source models. It is built to preserve frontier answer quality while reducing AI inference spend by grading every prompt and routing hard reasoning to frontier models and routine work to lower-cost open-source models. The routing is quality-graded, never a blind, cheap-model swap, and each request shows the difficulty grade, selected model, provider, and cost so routes are visible, auditable, and reproducible. Developers can switch by changing the API base URL, while existing SDKs, model names, and streaming behavior continue to work as before. OrcaRouter supports automatic failover, so if a provider goes down mid-stream, traffic can switch transparently, and the application avoids user-facing errors. It also includes API key management with spend caps, model allowlists, rate limits, budget enforcement, and more.Starting Price: $29 per month -
4
AG2
AG2
AG2 is the open source AgentOS for building production-ready AI agents and multi-agent systems in minutes, not months. Formerly AutoGen, it provides an open source Python framework for building, orchestrating, and scaling AI agents that can collaborate through shared context, use tools, execute workflows, and support both autonomous and human-in-the-loop patterns. AG2 is designed for developers who want to build systems, not prompts, with simple and intuitive syntax, built-in conversation patterns, and a flexible platform for multi-agent automation. Agents in AG2 can extend their capabilities with tools, allowing them to interact with external systems, fetch real-time data, execute code, search the web, process documents, and complete complex tasks beyond a model’s internal knowledge. It supports many LLM providers and local models, including OpenAI-compatible endpoints, Anthropic Claude, Gemini through Vertex AI, DeepSeek, and LM Studio.Starting Price: Free -
5
Agent Client Protocol (ACP)
Agent Client Protocol (ACP)
The Agent Client Protocol (ACP) standardizes communication between code editors, IDEs, and coding agents, making agent-editor interoperability the default instead of requiring custom integrations for every possible combination. It provides a standard interface for communication between AI agents and client applications, with a flexible, extensible, and platform-agnostic architecture designed for both local and remote scenarios. ACP addresses integration overhead, limited compatibility, and developer lock-in by allowing agents that implement the protocol to work with any compatible editor, while editors that support ACP gain access to the broader ecosystem of ACP-compatible agents. Similar in spirit to how the Language Server Protocol standardized language server integration, ACP decouples agents and editors so both sides can innovate independently while developers choose the best tools for their workflow.Starting Price: Free -
6
LocalStack
LocalStack
LocalStack is a cloud development platform that lets teams emulate cloud services across development, testing, and CI environments, so they can build against real APIs, iterate faster, and stay local. It provides a local cloud emulator that runs in a single container on a laptop or in a CI environment, allowing developers to run AWS applications and Lambdas without connecting to a remote cloud provider. LocalStack replicates an application’s production environment on local infrastructure, helping teams build for AWS faster and with more confidence. It is designed for testing complex CDK applications, validating Terraform configurations, learning AWS services, debugging cloud workflows, running integration tests, and simplifying the development loop. Developers can spin up fully functional local environments that mirror real cloud behavior, including AWS services and Snowflake, without provisioning real cloud infrastructure.Starting Price: $39 per month -
7
rawctx
rawctx
rawctx is an AI answer evidence layer for teams shipping customer-facing AI assistants, copilots, and agents. It records each answer with the approved meaning reference, source/context references, model-run metadata, trace IDs, correction history, and exportable proof bundles. Teams can audit why an AI answer was shown, which evidence and business definition it used, what changed after review, and whether trust proof status is anchored, pending, or local-only. rawctx supports answer audit logs, JSON/CSV/proof exports, source_ref evidence binding, and public or private verification workflows for high-stakes support, sales, finance, legal, and operations use cases.Starting Price: $9.99/1000logs -
8
Graphify
Graphify
Graphify is an open source knowledge graph engine that turns any input, including code, docs, papers, meetings, images, browser tabs, and commits, into one traversable graph with complete recall. It is built as persistent memory for AI coding assistants, giving tools like Claude Code, Codex, OpenCode, Cursor, Gemini CLI, GitHub Copilot CLI, Aider, Factory Droid, Kimi Code, Kiro, Pi, and Google Antigravity a queryable understanding of a project instead of making them repeatedly grep through files. Users can point Graphify at any directory, and it builds an initial corpus through AST extraction, semantic analysis, and Leiden clustering, transforming an entire codebase or document corpus into a graph in one pass. Unlike RAG pipelines that re-embed everything on every change, Graphify maintains a living graph that updates only affected nodes and edges when files change, allowing the rest of the corpus to stay intact even at enterprise scale.Starting Price: Free -
9
Hindsight
Vectorize
Hindsight is an agent memory system built to create smarter AI agents that learn over time instead of starting every conversation from zero. Most agent memory systems focus on recalling conversation history, but Hindsight is focused on making agents learn, not just remember. It gives AI agents persistent long-term memory using biomimetic data structures, helping them retain facts, recall relevant context, and reflect on experience as part of reasoning. Hindsight is designed for agents that need to understand who a user is, what has been discussed, what preferences have emerged, what decisions were made, and how behavior should adapt across sessions. It provides three core operations: retain, recall, and reflect. Retain stores new information, recall retrieves the right memories when needed, and reflect helps agents synthesize observations, form mental models, and learn from prior interactions.Starting Price: Free -
10
Pipecat
Pipecat
Pipecat is an open source framework and ecosystem for building real-time voice and multimodal conversational AI agents. It gives developers everything they need to create, deploy, and scale AI applications that can see, hear, and speak, while orchestrating audio, video, AI services, transports, and conversation pipelines with ultra-low latency. The core Pipecat framework is a Python-based system for building voice and multimodal AI pipelines, helping teams connect components such as speech-to-text, LLMs, text-to-speech, vision, video, transports, and business logic without manually wiring every service from scratch. Pipecat is designed to be vendor-neutral and composable, supporting more than 100 AI services so developers can choose the models and providers that fit each use case. Its ecosystem includes Pipecat Subagents for coordinating specialized agents with handoff, task dispatch, and distributed deployment.Starting Price: Free -
11
Vision Agents
Stream
Vision Agents is an open source Python framework for building low-latency voice and video AI agents with any model. It lets developers plug in LLM, speech, and vision models from more than 25 providers and ship real-time agents for telehealth, voice support, live coaching, video analysis, interactive avatars, security monitoring, sports commentary, and other multimodal applications. It is designed to help teams build agents that can listen, speak, see, process media, call tools, and respond in real time while running on Stream’s global edge network with sub-500ms latency. Developers can build a first agent in minutes, using a small Python setup with Gemini Realtime, OpenAI, Deepgram, ElevenLabs, Stream, or other supported providers. Vision Agents supports both real-time speech-to-speech models and custom STT/LLM/TTS pipelines, giving teams either the fastest path to a working voice agent or full control over speech recognition, language reasoning, text-to-speech, etc.Starting Price: Free -
12
Docling
Docling
Docling is an easy-to-use, self-contained, MIT-licensed open source toolkit for converting messy documents into structured data and simplifying downstream document and AI processing. It can parse many popular document formats into a unified and richly structured Docling Document, including PDF, DOCX, PPTX, XLSX, HTML, Markdown, AsciiDoc, CSV, images, audio, and scanned pages through an OCR engine of the user’s choice. Docling detects tables, formulas, reading order, chunks, bounding boxes, page headers and footers, pictures, captions, code, list items, paragraphs, cells, and document structure, making extracted content easier to process, search, and ingest into AI, RAG, and agentic systems. It can export parsed documents to JSON, text, Markdown, HTML, and Doctags, giving developers flexible outputs for pipelines and applications. Docling stores and traverses components according to reading order, partitions documents into bite-sized contiguous text chunks.Starting Price: Free -
13
Proxya
Proxya
Proxya is a premium proxy service provider that offers residential, ISP, and datacenter proxies for businesses and individuals that require reliable online connectivity and anonymity. The platform provides access to proxy networks across more than 195 countries, allowing users to target specific locations at the country, state, or city level. Its residential proxies use real device IP addresses, while ISP proxies combine residential trust with datacenter-level speed and performance. Proxya’s datacenter proxies are designed for high-volume tasks and deliver fast, stable connections with unlimited traffic options. The platform supports use cases such as web scraping, SEO monitoring, ad verification, market research, social media management, and price comparison. With instant activation, API integration, 24/7 customer support, transparent pricing, and a 99.9% uptime commitment, Proxya helps users deploy proxy solutions quickly and efficiently.Starting Price: $1 -
14
Yade
Yade
Yade is an extensible open source framework for discrete numerical models, focused on the Discrete Element Method. Its computation parts are written in C++ using a flexible object model that allows independent implementation of new algorithms and interfaces, while Python is used for rapid and concise scene construction, simulation control, postprocessing, and debugging. Yade is designed for researchers and engineers who need to create, run, inspect, modify, and extend particle-based simulations through scripts, interactive commands, graphical tools, and reusable simulation components. Simulations can be built from specialized generators or constructed directly with Python scripts, giving users flexibility for developing custom models, importing geometries, reusing code, and controlling the full simulation loop. It represents each simulation as a scene containing bodies, interactions, and resultant forces, with bodies defined by geometry, material properties, state variables, etc.Starting Price: Free -
15
MFiX
National Energy Technology Laboratory
MFiX, or Multiphase Flow with Interphase eXchanges, is an open source multiphase flow solver and NETL’s flagship suite of computational fluid dynamics tool for modeling reacting multiphase flows. It has become a standard for comparing, implementing, and evaluating multiphase flow constitutive models, and has been applied to a diverse range of multiphase flow devices and industrial systems. MFiX provides multiple modeling approaches, including a Two-Fluid Model, Discrete Element Model, Coarse-Grained Particle DEM, Superquadric Particle DEM, Glued-Sphere Particle DEM, Particle-in-Cell model, hybrid methods, and a single-phase solver for pure granular flows. These models can be used to simulate gasifiers, circulating fluidized bed combustors, fluidized beds, fluid catalytic crackers, chemical looping combustion systems, and other particle-fluid systems involving hydrodynamics, heat transfer, species transport, and chemical reactions.Starting Price: Free -
16
ESPResSo
ESPResSo
ESPResSo, the Extensible Simulation Package for Research on Soft Matter, is a highly versatile open source simulation package for performing and analyzing scientific molecular dynamics and Monte Carlo many-particle simulations. It is designed as a universal tool for simulating a variety of soft matter systems, especially coarse-grained atomistic or bead-spring models used in physics, chemistry, molecular biology, and process engineering. ESPResSo can be used to simulate polymers, liquid crystals, colloids, polyelectrolytes, ferrofluids, gels, biological systems, DNA, lipid membranes, bacterial motion, and super-capacitors. In coarse-grained models, a group of atoms or molecules is treated as a single bead, allowing researchers to investigate larger time and length scales than would be practical with fully atomistic simulations. ESPResSo supports classical molecular dynamics simulations in different statistical ensembles.Starting Price: Free -
17
Rocket Open AppDev for Z
Rocket Software
Rocket Open AppDev for Z helps organizations modernize mainframe DevOps with secure open-source software, bringing applications to market faster, at lower cost, and with less risk. It is much more than a collection of open source ports for z/OS: it combines years of investment in automation infrastructure, packaging and delivery options, and an experienced support team. It brings together the high security mainframe customers demand with an easy user experience for developers and admins. Trusted by leading banks, insurance companies, and government agencies, Open AppDev for Z provides open-source languages and tools for z/OS while checking deliverables for vulnerabilities and following proper licensing requirements. Its products are continuously kept up to date against the NIST National Vulnerability Database, with open-source ports delivered and maintained through a public conda channel, private conda channel, on-premises conda file channel, or SMP/E.Starting Price: Free -
18
Manufact
Manufact
Manufact is a platform to build and deploy MCP apps and servers, giving teams a fast path to the ChatGPT Apps Store, Claude Connectors, and every surface where users and agents already work. The mcp-use SDK is the full-stack MCP framework to develop MCP apps for ChatGPT and Claude, as well as MCP servers for AI agents. Manufact covers every step of the MCP lifecycle with no extra tools: build from an SDK, a skill, or a vibe; deploy with one push; publish with marketplace checklists and generated submission assets; iterate with Cloud Inspector; and monitor with analytics, session replay, traces, error rates, and alerts. Teams can scaffold with the MCP-use SDK, install a skill into a coding agent, describe an app and watch it scaffold, or drop in an existing MCP server unchanged. Manufact Cloud connects to a repo once, then every push auto-deploys, with preview URLs for pull requests, custom domains, and SSL handled.Starting Price: $25 per month -
19
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 -
20
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 -
21
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 -
22
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 -
23
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 -
24
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 -
25
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 -
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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 -
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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 -
28
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 -
29
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 -
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TestComplete
SmartBear
Ensure the quality of your application without sacrificing speed or agility with an easy-to-use, GUI test automation tool. Our AI-powered object recognition engine and script or scriptless flexibility is unmatched, letting you test every desktop, web, and mobile application with ease. TestComplete comes with an intelligent object repository and support for over 500 controls, so you can ensure your GUI tests are scalable, robust, and easy to maintain. More automated quality means more overall quality. Automate UI testing across a wide range of desktop applications, including .Net, Java, WPF and Windows 10. Create reusable tests for all web applications including modern JavaScript frameworks like React and Angular on 2050+ browser and platform configurations. Create and automate functional UI tests on physical or virtual iOS and Android devices. No need to jailbreak your phone.Starting Price: $4,836
