Best Artificial Intelligence Software for Python - Page 15
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Compare the Top Artificial Intelligence Software that integrates with Python as of July 2026 - Page 15
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This a list of Artificial Intelligence software that integrates with Python. Use the filters on the left to add additional filters for products that have integrations with Python. View the products that work with Python in the table below.
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1
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 -
2
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 -
3
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 -
4
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 -
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
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 -
9
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 -
10
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 -
11
Vizard Virtual Reality Software
WorldViz
COMPREHENSIVE VIRTUAL REALITY SOFTWARE FOR RESEARCHERS Build once, deploy everywhere. The Vizard virtual reality software's universal VR hardware connectivity supports a range of VR headsets, projection systems, 3D displays, motion trackers, eye-trackers, gloves, biofeedback monitors, and more. Capture and output a wide array of precise data in real time based on research requirements. Take advantage of 3D model workflows from 3DS Max, Maya, Revit, Sketchfab, Substance Painter, and many more via glTF, DAE, FBX and more. Leverage the power of Python, the world’s most accessible, popular scripting language. Includes robust open-source community libraries and toolkits for researchers. Achieve versatile rendering including multi-user, clustering, multi-channel abilities, Projection VR, HTC Vive, Oculus Rift, Windows MR headsets, and more with Vizard virtual reality software -
12
Wing Python IDE
Wingware
Wing Python IDE was designed from the ground up for Python, to bring you a more productive development experience. Type less and let Wing worry about the details. Get immediate feedback by writing your Python code interactively in the live runtime. Easily navigate code and documentation. Avoid common errors and find problems early with assistance from Wing's deep Python code analysis. Keep code clean with smart refactoring and code quality inspection. Debug any Python code. Inspect debug data and try out bug fixes interactively without restarting your app. Work locally or on a remote host, VM, or container. Wingware's 21 years of Python IDE experience bring you a more Pythonic development environment. Wing was designed from the ground up for Python, written in Python, and is extensible with Python. So you can be more productive. -
13
Zyte
Zyte
Zyte is a powerful web data extraction platform designed to help businesses access, process, and scale web data efficiently. It offers an all-in-one Web Scraping API that can unblock, render, and extract data from virtually any website. The platform uses advanced AI and automation to ensure high-quality, accurate data while keeping costs manageable. Zyte also provides managed data services, where experts build and maintain data pipelines for businesses. Its solutions support a wide range of use cases, including product data, news, social media, real estate, and job listings. Built-in legal compliance features ensure that data extraction is handled responsibly and securely. Overall, Zyte enables organizations to turn web data into actionable insights quickly and at scale. -
14
Meya
Meya.ai
Accelerate your roadmap. Get to market faster and stay at the forefront of the cognitive revolution. Unlock each developer’s potential with cutting edge technology. A good tech stack starts with a solid foundation. With Meya, your cognitive apps run in a modern computing environment, that is performant, secure, compliant and easily managed. Our team is continually updating our framework to take advantage of the latest in artificial intelligence research. Focus on building a great user experience while we ensure your cognitive app’s hosting, integrations, and more! Build, host, and train your cognitive application in one place. Easily scale your bot and take advantage of the most popular messaging and customer support platforms. Handle any complex use case by connecting to your business back end. Stay focused on the user experience and let us take care of the rest. -
15
Eclipse Theia
Eclipse Foundation
Eclipse Theia is an extensible platform to develop multi-language Cloud & Desktop IDEs with state-of-the-art web technologies. Not sure whether you need a web or desktop version or both? With Theia you can develop one IDE and run it in browsers or native desktop application from a single source. The Theia project is hosted at the Eclipse Foundation, a not-for-profit corporation, and is developed by a diverse community. Unlike other "open-source" projects, projects hosted at an Open-Source Foundation are protected against single-vendor decisions against the interest of the diverse community. Theia is designed in a modular way to allow extenders and adopters customizing and extending every aspect of it. Composing a custom IDE-like product is as easy as listing all needed extensions in a package.json file. Adding new functionality by implementing your own extensions is easy, too and provides all the flexibility you need.Starting Price: $0 -
16
CLion
JetBrains
Who wouldn’t like to code at the speed of thought while the IDE does all the mundane development tasks for them? But is that really possible for a tricky language like C++, what with its modern standards and heavily templated libraries? Why, yes, yes it is! See it to believe it. Generate tons of boilerplate code instantly. Override and implement functions with simple shortcuts. Generate constructors and destructors, getters and setters, and equality, relational, and stream output operators. Wrap a block of code with a statement, or generate a declaration from a usage. Create custom live templates to reuse typical code blocks across your code base to save time and maintain a consistent style. Rename symbols; inline a function, variable, or macro; move members through the hierarchy; change function signatures; and extract functions, variables, parameters, or a typedef.Starting Price: $8.90 per month -
17
IntelliCode
Microsoft
Visual Studio IntelliCode: AI-assisted development. IntelliCode saves you time by putting what you’re most likely to use at the top of your completion list. IntelliCode recommendations are based on thousands of open source projects on GitHub each with over 100 stars. When combined with the context of your code, the completion list is tailored to promote common practices. IntelliCode isn’t limited to statement completion. Signature help also recommends the most likely overload for your context. IntelliCode can provide recommendations based on your code and seamlessly share them across your team. With this preview feature, you can build a team model to provide recommendations on code that isn’t in the open source domain, such as methods on your own utility classes or domain specific library calls. Integrate our build task into your pipeline to keep your team completions up to date with repository changes. -
18
JupyterLab
Jupyter
Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. JupyterLab is a web-based interactive development environment for Jupyter notebooks, code, and data. JupyterLab is flexible, configure and arrange the user interface to support a wide range of workflows in data science, scientific computing, and machine learning. JupyterLab is extensible and modular, write plugins that add new components and integrate with existing ones. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include, data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more. Jupyter supports over 40 programming languages, including Python, R, Julia, and Scala. -
19
JFrog
JFrog
Fully automated DevOps platform for distributing trusted software releases from code to production. Onboard DevOps projects with users, resources and permissions for faster deployment frequency. Fearlessly update with proactive identification of open source vulnerabilities and license compliance violations. Achieve zero downtime across your DevOps pipeline with High Availability and active/active clustering for your enterprise. Control your DevOps environment with out-of-the-box native and ecosystem integrations. Enterprise ready with choice of on-prem, cloud, multi-cloud or hybrid deployments that scale as you grow. Ensure speed, reliability and security of IoT software updates and device management at scale. Create new DevOps projects in minutes and easily onboard team members, resources and storage quotas to get coding faster.Starting Price: $98 per month -
20
Tecton
Tecton
Deploy machine learning applications to production in minutes, rather than months. Automate the transformation of raw data, generate training data sets, and serve features for online inference at scale. Save months of work by replacing bespoke data pipelines with robust pipelines that are created, orchestrated and maintained automatically. Increase your team’s efficiency by sharing features across the organization and standardize all of your machine learning data workflows in one platform. Serve features in production at extreme scale with the confidence that systems will always be up and running. Tecton meets strict security and compliance standards. Tecton is not a database or a processing engine. It plugs into and orchestrates on top of your existing storage and processing infrastructure. -
21
Hyland Document Filters
Hyland
Document Filters is an SDK that can be leveraged for various applications, such as content indexing, e-discovery, data migration, feeding data into AI/ML models and much more by extracting data from unstructured sources. It gives software developers the ability to perform deep inspection, data extraction, output manipulation and conversion for virtually any type of document and language. -
22
oneAPI
Intel
Intel oneAPI is an open, unified programming model designed to simplify development across CPUs, GPUs, and other accelerators. It provides developers with a highly productive software stack for AI, HPC, and accelerated computing workloads. oneAPI supports scalable hybrid parallelism, enabling performance portability across different hardware architectures. The platform includes optimized libraries, SYCL-based C++ extensions, and powerful developer tools for profiling, debugging, and optimization. Developers can build, optimize, and deploy applications with confidence across data centers, edge systems, and PCs. oneAPI is built on open standards to avoid vendor lock-in while maximizing performance. It empowers developers to write code once and run it efficiently everywhere. -
23
JetBrains Fleet
JetBrains
Built from scratch, based on 20 years of experience developing IDEs. JetBrains Fleet uses the IntelliJ code-processing engine, with a distributed IDE architecture and a reimagined UI. We built Fleet to be a fast and lightweight text editor for when you need to quickly browse and edit your code. It starts up in an instant so you can begin working immediately, and it can easily transform into an IDE, with the IntelliJ code-processing engine running separately from the editor itself. Fleet inherits the things that developers love the most from IntelliJ-based IDEs – project and context aware code completion, navigation to definitions and usages, on-the-fly code quality checks, and quick-fixes. Fleet’s architecture is designed to support a range of configurations and workflows. You can simply run Fleet just on your machine, or move some of the processes elsewhere – for example by locating the code processing in the cloud. -
24
Dasha
Dasha
Dasha is a conversational AI-as-a-service platform that lets you embed realistic voice and text conversational capabilities into your apps or products. With a single integration, create smart conversational apps for web, desktop, mobile, IoT, and call centers. DashaScript is an event-driven declarative programming language used to design complex real-world conversations that pass a limited Turing test. Automate call center conversations, recreate the Google Duplex demo in under 400 lines of code or create a no-code GUI for your users that translates into DashaScript code. If it is connected to the internet and has access to a speaker/mic, it can run a Dasha application. Your conversational voice/chat apps use your existing infrastructure, including databases, external services (Airtable, Zendesk, TalkDesk, etc.), and business logic. Run conversations through anything. Feed your custom data into Dasha and consume results where they provide the most value. -
25
JetBrains DataSpell
JetBrains
Switch between command and editor modes with a single keystroke. Navigate over cells with arrow keys. Use all of the standard Jupyter shortcuts. Enjoy fully interactive outputs – right under the cell. When editing code cells, enjoy smart code completion, on-the-fly error checking and quick-fixes, easy navigation, and much more. Work with local Jupyter notebooks or connect easily to remote Jupyter, JupyterHub, or JupyterLab servers right from the IDE. Run Python scripts or arbitrary expressions interactively in a Python Console. See the outputs and the state of variables in real-time. Split Python scripts into code cells with the #%% separator and run them individually as you would in a Jupyter notebook. Browse DataFrames and visualizations right in place via interactive controls. All popular Python scientific libraries are supported, including Plotly, Bokeh, Altair, ipywidgets, and others.Starting Price: $229 -
26
Dash Rewriter
Dash Developer
If you need a quick way to rewrite your articles, our Rewriter API is the solution for you. With our simple API, you can get your articles rewritten automatically. Our rewriter is built for simplicity without all the jargon configurations or AI integrations. Our rewriter has only one objective and that is to rewrite your article quickly at a low cost, providing a perfect solution for anyone who needs an affordable rewrite. Get API key from your member area and paste it in your WordPress plugin. We make it plain and simple to use. Our API is made very affordable for anyone who is looking to rank better on the search engine result page. We provide simple code samples in order for you to get started. Whether you are using PHP, Python, or JS, our API can work for you. You no longer need to use another platform to rewrite your article, you can rewrite directly from your website. Dash Rewriter can be easily integrated into a WordPress website just by installing our free plugin.Starting Price: $5 per month -
27
Figstack
Figstack
Reading and writing code is hard. Figstack helps you interpret the details so you can focus on building what matters. Powered by AI and trained with billions of lines of code, Figstack supercharges your ability to read and write code across languages. Having trouble understanding the program that you're looking at? Use the explain code function to explain it to you in natural language. Need to convert Python to Go or Ruby to Javascript? The language translator function lets you reliably swap from one language to another. Don't like writing documentation for your functions? Have Figstack's docstring writer craft detailed docstrings so your functions are always readable and maintainable. Measure the efficiency of your code in Big O notation using the time complexity function and see how you can optimize your program. Get the time complexity of your program. Automate documentation for your functions. Translate programming languages. -
28
Text Generator
Text Generator
Generate high-quality text with state-of-the-art AI Accurate, fast, and flexible. Competitive cost-effective AI text generation using advanced large neural networks. Create chatbots, perform question answering, summarization, paraphrasing, and change the tone of text on top of our constantly improving text generation API. Easy to guide text creation, via 'prompt engineering' guiding generation through keywords and natural questions, this can adapt the API for e.g. classification or sentiment analysis. Personal information is never kept on our servers in any form. Up-to-date continuous training of our algorithms helps the AI understand recent events. Global multi-lingual text generation in almost any language. Links are crawled and image content is analyzed to generate realistic text, text in images is recognized so you can answer questions about screenshots/receipts, etc. Code generation from a shared API supports many languages including. -
29
CodeGen
Salesforce
CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.Starting Price: Free -
30
StarCoder
BigCode
StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. We fine-tuned StarCoderBase model for 35B Python tokens, resulting in a new model that we call StarCoder. We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as code-cushman-001 from OpenAI (the original Codex model that powered early versions of GitHub Copilot). With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant.Starting Price: Free