Best Artificial Intelligence Software for Python - Page 9
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Compare the Top Artificial Intelligence Software that integrates with Python as of June 2025 - Page 9
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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
DeepSeek-VL
DeepSeek
DeepSeek-VL is an open source Vision-Language (VL) model designed for real-world vision and language understanding applications. Our approach is structured around three key dimensions: We strive to ensure our data is diverse, scalable, and extensively covers real-world scenarios, including web screenshots, PDFs, OCR, charts, and knowledge-based content, aiming for a comprehensive representation of practical contexts. Further, we create a use case taxonomy from real user scenarios and construct an instruction tuning dataset accordingly. The fine-tuning with this dataset substantially improves the model's user experience in practical applications. Considering efficiency and the demands of most real-world scenarios, DeepSeek-VL incorporates a hybrid vision encoder that efficiently processes high-resolution images (1024 x 1024), while maintaining a relatively low computational overhead.Starting Price: Free -
2
VoltAgent
VoltAgent
VoltAgent is an open source TypeScript AI agent framework that enables developers to build, customize, and orchestrate AI agents with full control, speed, and a great developer experience. It provides a complete toolkit for enterprise-level AI agents, allowing the design of production-ready agents with unified APIs, tools, and memory. VoltAgent supports tool calling, enabling agents to invoke functions, interact with systems, and perform actions. It offers a unified API to seamlessly switch between different AI providers with a simple code update. It includes dynamic prompting to experiment, fine-tune, and iterate AI prompts in an integrated environment. Persistent memory allows agents to store and recall interactions, enhancing their intelligence and context. VoltAgent facilitates intelligent coordination through supervisor agent orchestration, building powerful multi-agent systems with a central supervisor agent that coordinates specialized agents.Starting Price: Free -
3
DeerFlow
Bytedance
DeerFlow is a community-driven deep research framework that builds upon the incredible work of the open source community. Our goal is to combine language models with specialized tools for tasks like web search, crawling, and Python code execution, while giving back to the community that made this possible. DeerFlow's multi-agent architecture lets agents work together, share tasks, and solve complex problems. This makes DeerFlow ideal for automated research and advanced AI workflows, ensuring reliability and scalability. Experience the agent teamwork with our supervisor + handoffs design pattern. DeerFlow helps you solve real research and automation challenges. With DeerFlow, you can build smart workflows using multi-agent collaboration and advanced search. DeerFlow is not just a research tool, it's a platform for building next-generation AI applications.Starting Price: Free -
4
smallest.ai
smallest.ai
Smallest.ai is a real-time AI platform designed to deliver hyper-personalized voice experiences with minimal latency and high scalability. Its flagship products, Waves and Atoms, enable users to generate human-like AI voices and deploy real-time AI agents for customer interactions. Waves offers ultra-realistic text-to-speech capabilities, supporting over 30 languages and 100 accents, with sub-100ms API latency for instant voice generation. It also features instant voice cloning, allowing users to replicate any voice with just a 5-second audio sample, making it ideal for personalized branding and content creation. Atoms provides AI agents capable of handling customer calls, offering seamless, natural-sounding conversations without human intervention. Both products are designed for easy integration, offering scalable APIs and Python SDKs to facilitate deployment across various platforms.Starting Price: $5 per month -
5
c/ua
c/ua
c/ua is a platform that runs secure AI agents, optimized for Apple Silicon. It removes the need for virtual machine setup, enabling near-native macOS and Linux environments. Features include configurable VM resources, AI system integration, and automation via a computer-user interface. It supports multi-model workflows and cross-OS desktop automation. c/ua also allows easy sharing and distribution of VM images for collaboration. c/ua enables AI agents to control full operating systems in high-performance virtual containers with near-native speed on Apple Silicon. It supports agent loops such as UITARS-1.5, OpenAI, Anthropic, and OmniParser-v2.0. For developers, c/ua provides tools like Lume CLI for VM management, Python SDKs for agent development, and example code for direct control of macOS VMs.Starting Price: Free -
6
Open Interpreter
Open Interpreter
Open Interpreter is an open source natural language interface for computers that enables users to execute code through conversational prompts in a terminal environment. It supports multiple programming languages, including Python, JavaScript, and Shell, allowing for a wide range of tasks such as data analysis, file management, and web browsing. It provides interactive mode commands to enhance user experience. Users can configure default behaviors using YAML files, facilitating flexible customization without altering command-line arguments each time. Open Interpreter can be integrated with FastAPI to create RESTful endpoints, enabling programmatic control over its functionalities. For safety, it prompts users for confirmation before executing code that interacts with the local environment, mitigating potential risks.Starting Price: Free -
7
AgentSea
AgentSea
AgentSea is an open source platform designed to build, deploy, and share AI agents with ease. It delivers a collection of libraries and tools for building AI agent apps, favoring the UNIX philosophy of doing one thing well. Tools can be used individually or stacked together into a single agent app, and are compatible with frameworks like LlamaIndex and LangChain. Key components include SurfKit, a Kubernetes-style orchestrator for agents; DeviceBay, offering pluggable devices like file systems and desktops; ToolFuse, a library that wraps scripts, third-party apps, and APIs as Tool implementations; AgentD, a daemon making a Linux desktop OS accessible to bots; AgentDesk, a library for running AgentD-powered VMs; Taskara, for task management; ThreadMem, for building multi-role persistent threads; and MLLM, simplifying communication with multiple LLMs and multimodal LLMs. AgentSea also offers alpha agents like SurfPizza and SurfSlicer, which navigate GUIs using multimodal approaches.Starting Price: Free -
8
ZZZ Code AI
ZZZ Code AI
ZZZ Code AI is an AI-powered coding assistant designed to support developers across various programming tasks. It offers a suite of tools, including AI Code Generator, AI Bug Detector, AI Code Explainer, AI Code Refactor, AI Code Review, AI Code Converter, and AI Code Documentation. It supports multiple programming languages such as Python, C#, C++, Java, JavaScript, HTML, CSS, SQL, and Excel formulas. Users can input their coding requirements or questions, and the AI provides instant responses, code snippets, explanations, or conversions as needed. Specialized tools are available for specific languages and frameworks, including Dapper and Entity Framework Core. It is accessible online without the need for account creation, although character limits apply to prevent abuse. ZZZ Code AI aims to enhance productivity and reduce errors for both novice and experienced developers by automating routine coding tasks and providing immediate assistance.Starting Price: Free -
9
Agent Squad
Amazon
Agent Squad is a flexible and powerful open source framework developed by AWS for managing multiple AI agents and handling complex conversations. It enables multi-agent orchestration, allowing seamless coordination and leveraging of multiple AI agents within a single system. It offers dual language support, being fully implemented in both Python and TypeScript. Intelligent intent classification dynamically routes queries to the most suitable agent based on context and content. Agent Squad supports both streaming and non-streaming responses from different agents, ensuring flexible agent responses. It maintains and utilizes conversation context across multiple agents for coherent interactions. The architecture is extensible, allowing easy integration of new agents or customization of existing ones to fit specific needs. Agent Squad can be deployed universally, running anywhere from AWS Lambda to local environments or any cloud platform.Starting Price: Free -
10
Strands Agents
Strands Agents
Strands Agents is a lightweight, code-first framework for building AI agents, designed to simplify agent development by leveraging the reasoning capabilities of modern language models. Developers can create agents with just a few lines of Python code, defining a prompt and a list of tools, allowing the agent to autonomously execute complex tasks. It supports multiple model providers, including Amazon Bedrock (defaulting to Claude 3.7 Sonnet), Anthropic, OpenAI, and more, offering flexibility in model selection. Strands Agents features a customizable agent loop that processes user input, decides on tool usage, executes tools, and generates responses, supporting both streaming and non-streaming interactions. Built-in tools and the ability to add custom tools enable agents to perform a wide range of actions beyond simple text generation.Starting Price: Free -
11
Nomic Embed
Nomic
Nomic Embed is a suite of open source, high-performance embedding models designed for various applications, including multilingual text, multimodal content, and code. The ecosystem includes models like Nomic Embed Text v2, which utilizes a Mixture-of-Experts (MoE) architecture to support over 100 languages with efficient inference using 305M active parameters. Nomic Embed Text v1.5 offers variable embedding dimensions (64 to 768) through Matryoshka Representation Learning, enabling developers to balance performance and storage needs. For multimodal applications, Nomic Embed Vision v1.5 aligns with the text models to provide a unified latent space for text and image data, facilitating seamless multimodal search. Additionally, Nomic Embed Code delivers state-of-the-art performance on code embedding tasks across multiple programming languages.Starting Price: Free -
12
RankLLM
Castorini
RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking. It offers a suite of rerankers, pointwise models like MonoT5, pairwise models like DuoT5, and listwise models compatible with vLLM, SGLang, or TensorRT-LLM. Additionally, it supports RankGPT and RankGemini variants, which are proprietary listwise rerankers. It includes modules for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. RankLLM integrates with Pyserini for retrieval and provides integrated evaluation for multi-stage pipelines. It also includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts (MoE) models. The toolkit supports various backends, including SGLang and TensorRT-LLM, and is compatible with a wide range of LLMs.Starting Price: Free -
13
RankGPT
Weiwei Sun
RankGPT is a Python toolkit designed to explore the use of generative Large Language Models (LLMs) like ChatGPT and GPT-4 for relevance ranking in Information Retrieval (IR). It introduces methods such as instructional permutation generation and a sliding window strategy to enable LLMs to effectively rerank documents. It supports various LLMs, including GPT-3.5, GPT-4, Claude, Cohere, and Llama2 via LiteLLM. RankGPT provides modules for retrieval, reranking, evaluation, and response analysis, facilitating end-to-end workflows. It includes a module for detailed analysis of input prompts and LLM responses, addressing reliability concerns with LLM APIs and non-deterministic behavior in Mixture-of-Experts (MoE) models. The toolkit supports various backends, including SGLang and TensorRT-LLM, and is compatible with a wide range of LLMs. RankGPT's Model Zoo includes models like LiT5 and MonoT5, hosted on Hugging Face.Starting Price: Free -
14
Codespy
Codespy
Codespy AI Detector is a powerful tool designed to identify AI-generated code within software projects quickly and accurately. It supports popular programming languages such as Java, Python, JavaScript, C++, C#, and PHP. The platform helps developers find AI-written code from models like ChatGPT, Gemini, and Claude, which can introduce bugs or unexpected errors. Codespy integrates seamlessly with common development environments like Visual Studio Code and is available as a ChatGPT plugin. Its technology enables teams to create processes and guardrails around AI code usage to reduce risk and improve code quality. With simple pricing plans and no credit card required for the free tier, Codespy is accessible to individuals and businesses of all sizes.Starting Price: $27.98/month -
15
Reflex
Pynecone
Reflex is an open source framework that empowers Python developers to build full-stack web applications entirely in pure Python, eliminating the need for JavaScript or complex frontend frameworks. With Reflex, you can write, test, and refine your app using just Python, making it fast, flexible, and scalable. It features an AI Builder that allows you to describe your app idea, and it will generate a working Python app instantly, complete with backend, frontend, and database integration. Reflex's architecture compiles the frontend down to a single-page Next.js app, while the backend is powered by FastAPI, with communication handled via WebSockets. This setup ensures that all the app logic and state management stay in Python and run on the server. The framework offers over 60 built-in components based on Radix UI and supports custom React components, enabling developers to create complex UIs without writing HTML or CSS.Starting Price: $20 per month -
16
Piper TTS
Rhasspy
Piper is a fast, local neural text-to-speech (TTS) system optimized for devices like the Raspberry Pi 4, designed to deliver high-quality speech synthesis without relying on cloud services. It utilizes neural network models trained with VITS and exported to ONNX Runtime, enabling efficient and natural-sounding speech generation. Piper supports a wide range of languages, including English (US and UK), Spanish (Spain and Mexico), French, German, and many others, with voices available for download. Users can run Piper via the command line or integrate it into Python applications using the piper-tts package. The system allows for real-time audio streaming, JSON input for batch processing, and supports multi-speaker models. Piper relies on espeak-ng for phoneme generation, converting text into phonemes before synthesizing speech. It is employed in various projects such as Home Assistant, Rhasspy 3, NVDA, and others.Starting Price: Free -
17
LiteRT
Google
LiteRT (Lite Runtime), formerly known as TensorFlow Lite, is Google's high-performance runtime for on-device AI. It enables developers to deploy machine learning models across various platforms and microcontrollers. LiteRT supports models from TensorFlow, PyTorch, and JAX, converting them into the efficient FlatBuffers format (.tflite) for optimized on-device inference. Key features include low latency, enhanced privacy by processing data locally, reduced model and binary sizes, and efficient power consumption. The runtime offers SDKs in multiple languages such as Java/Kotlin, Swift, Objective-C, C++, and Python, facilitating integration into diverse applications. Hardware acceleration is achieved through delegates like GPU and iOS Core ML, improving performance on supported devices. LiteRT Next, currently in alpha, introduces a new set of APIs that streamline on-device hardware acceleration.Starting Price: Free -
18
Summit
Summit
Summit is a low‑code platform for creating small programs called models that can be used inside your favorite workflow builders. It enables you to harness AI and unstructured data flowing through your automations. Summit’s low‑code toolbelt is built for the LLM era; it upgrades prompts by enriching them with real‑time, relevant context via its search engine, and delivers structured output like JSON that fits strict schemas. With a clear path to mastery, it offers a small but versatile set of building blocks so you spend less time learning docs and more time solving problems. Summit supports loops to cycle over lists, fetch paginated API data, and honor rate limits. Each model gets its own API and integrates with no‑code companions like Zapier, HubSpot, Make, Clay, or any tech stack (Python, PHP, Ruby, JavaScript). It promotes reusability and composability; models can call other models, so you can build once and reuse everywhere.Starting Price: $125 per month -
19
Kodosumi
Masumi
Kodosumi is an open source, framework-agnostic runtime environment built on Ray for deploying, managing, and scaling agentic services at the enterprise level. It enables effortless deployment of AI agents with a single YAML config, offering minimal setup overhead and no vendor lock-in. Designed for handling bursty traffic and long-running workflows, it dynamically scales across Ray clusters to ensure consistent performance. Kodosumi integrates real-time logging and monitoring through the Ray dashboard, providing instant observability and streamlined debugging of complex flows. Core building blocks include autonomous agents (task performers), orchestrated flows, and deployable agentic services, all managed via a pragmatic web admin panel.Starting Price: Free -
20
Solar
Solar
Solar is a fast, flexible AI-powered platform that enables users to build custom AI agents, workflow automations, and full-stack applications, from Python backends and databases to modern front-ends and authentication, in seconds via a visual editor and collaborative canvas. It combines the power of code with no-code readability, offering integrations for email, scraping, LLM calls, tables, file storage, logic, and more, all deployable with a single click. Solar supports robust enterprise features including role-based access control, guardrails, and bring-your-own-cloud options, ensuring secure and scalable deployments. Backed by engineering expertise from renowned companies like Y Combinator, Palantir, and Jane Street, Solar caters to users ranging from solo engineers to collaborative teams by offering a generous free tier (500 credits and up to five projects), with paid plans unlocking advanced integrations, higher usage credits, team collaboration, and enterprise-grade security.Starting Price: $30 per month -
21
GitAuto
GitAuto
GitAuto is an AI-powered coding agent that integrates with GitHub (and optional Jira) to read backlog tickets or issues, analyze your repository’s file tree and code, then autonomously generate and review pull requests, typically within three minutes per ticket. It can handle bug fixes, feature requests, and test coverage improvements. You trigger it via issue labels or dashboard selections, it writes code or unit tests, opens a PR, runs GitHub Actions, and automatically fixes failing tests until they pass. GitAuto supports ten programming languages (e.g., Python, Go, Rust, Java), is free for basic usage, and offers paid tiers for higher PR volumes and enterprise features. It follows a zero data‑retention policy; your code is processed via OpenAI but not stored. Designed to accelerate delivery by enabling teams to clear technical debt and backlogs without extensive engineering resources, GitAuto acts like an AI backend engineer that drafts, tests, and iterates.Starting Price: $100 per month -
22
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 -
23
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 -
24
Codacy
Codacy
Codacy is an automated code review tool that helps identify issues through static code analysis, allowing engineering teams to save time in code reviews and tackle technical debt. Codacy integrates seamlessly into existing workflows on your Git provider, and also with Slack, JIRA, or using Webhooks. Users receive notifications on security issues, code coverage, code duplication, and code complexity in every commit and pull request along with advanced code metrics on the health of a project and team performance. The Codacy CLI enables running Codacy code analysis locally, so teams can see Codacy results without having to check their Git provider or the Codacy app. Codacy supports more than 30 coding languages and is available in free open-source, and enterprise versions (cloud and self-hosted). For more see https://www.codacy.com/Starting Price: $15.00/month/user -
25
Zyte
Zyte
Hi, we’re Zyte (formerly Scrapinghub)! We are the leader in web data extraction technology and services. We’re obsessed with data. And what it can do for businesses. We help thousands of companies and millions of developers to get their hands on clean, accurate data. Quickly, reliably and at scale. Every day, for more than a decade. From price intelligence, news and media, job listings and entertainment trends, brand monitoring, and more, our customers rely on us to obtain dependable data from over 13 billion web pages each month. We led the way with open source projects like Scrapy, products like our Smart Proxy Manager (formerly Crawlera), and our end-to-end data extraction services. Our fully remote team of nearly two hundred developers and extraction experts set out to remove the barriers to data and change the game. -
26
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. -
27
Replit Agent
Replit
Create beautiful, modern web applications at the speed of thought. Describe what you need and Replit's AI Agent builds it for you. Meet Replit Agent, an advanced AI making programming accessible to everyone. Build at the speed of thought and launch in minutes. Prompt Replit Agent by describing the app or site you want to create. Replit AI can even help you enhance your prompt for the best results. Replit Agent generates a plan for bringing your idea to life. Start with a prototype, and add extra features as you go by writing simple prompts. Refine your creation through an easy-to-use chat interface. After every step of your build plan, the agent will ask for feedback and integrate your requests into the next batch of work. Deployment your site or app to to a live URL in minutes. Backed by Google Cloud, Replit Deployments let you build your startup, automate your job, grow your following, and more — faster than ever before. -
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Intel Tiber AI Studio
Intel
Intel® Tiber™ AI Studio is a comprehensive machine learning operating system that unifies and simplifies the AI development process. The platform supports a wide range of AI workloads, providing a hybrid and multi-cloud infrastructure that accelerates ML pipeline development, model training, and deployment. With its native Kubernetes orchestration and meta-scheduler, Tiber™ AI Studio offers complete flexibility in managing on-prem and cloud resources. Its scalable MLOps solution enables data scientists to easily experiment, collaborate, and automate their ML workflows while ensuring efficient and cost-effective utilization of resources. -
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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. -
30
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.