Best Artificial Intelligence Software for Python - Page 7
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Compare the Top Artificial Intelligence Software that integrates with Python as of November 2026 - Page 7
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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
LangGraph
LangChain
Gain precision and control with LangGraph to build agents that reliably handle complex tasks. Build and scale agentic applications with LangGraph Platform. LangGraph's flexible framework supports diverse control flows – single agent, multi-agent, hierarchical, sequential – and robustly handles realistic, complex scenarios. Ensure reliability with easy-to-add moderation and quality loops that prevent agents from veering off course. Use LangGraph Platform to templatize your cognitive architecture so that tools, prompts, and models are easily configurable with LangGraph Platform Assistants. With built-in statefulness, LangGraph agents seamlessly collaborate with humans by writing drafts for review and awaiting approval before acting. Easily inspect the agent’s actions and "time-travel" to roll back and take a different action to correct course.Starting Price: Free -
2
Tülu 3
Ai2
Tülu 3 is an advanced instruction-following language model developed by the Allen Institute for AI (Ai2), designed to enhance capabilities in areas such as knowledge, reasoning, mathematics, coding, and safety. Built upon the Llama 3 Base, Tülu 3 employs a comprehensive four-stage post-training process: meticulous prompt curation and synthesis, supervised fine-tuning on a diverse set of prompts and completions, preference tuning using both off- and on-policy data, and a novel reinforcement learning approach to bolster specific skills with verifiable rewards. This open-source model distinguishes itself by providing full transparency, including access to training data, code, and evaluation tools, thereby closing the performance gap between open and proprietary fine-tuning methods. Evaluations indicate that Tülu 3 outperforms other open-weight models of similar size, such as Llama 3.1-Instruct and Qwen2.5-Instruct, across various benchmarks.Starting Price: Free -
3
Cognee
Cognee
Cognee is an open source AI memory engine that transforms raw data into structured knowledge graphs, enhancing the accuracy and contextual understanding of AI agents. It supports various data types, including unstructured text, media files, PDFs, and tables, and integrates seamlessly with several data sources. Cognee employs modular ECL pipelines to process and organize data, enabling AI agents to retrieve relevant information efficiently. It is compatible with vector and graph databases and supports LLM frameworks like OpenAI, LlamaIndex, and LangChain. Key features include customizable storage options, RDF-based ontologies for smart data structuring, and the ability to run on-premises, ensuring data privacy and compliance. Cognee's distributed system is scalable, capable of handling large volumes of data, and is designed to reduce AI hallucinations by providing AI agents with a coherent and interconnected data landscape.Starting Price: $25 per month -
4
ai-coustics
ai-coustics
ai-coustics is a Berlin-based startup building the audio intelligence layer for Voice AI. Founded by researchers in audio, acoustics, and machine learning, the company focuses on the fundamental reliability problem that causes voice systems to fail outside controlled environments. Rather than competing with ASR, LLMs, or TTS, ai-coustics makes them reliable. Its SDK and model infrastructure sit between real-world sound and machine understanding, conditioning raw audio into stable, machine-ready input optimized for downstream behavior. The company’s Quail model family delivers real-time speech enhancement, speaker isolation, and voice activity detection designed specifically for production of Voice AI. ai-coustics powers voice agents, transcription pipelines, and telephony systems, and is natively integrated in LiveKit and Pipecat. Its mission is to make audio input reliable and measurable, so voice systems can operate with confidence where real people actually speak.Starting Price: $149 / month -
5
LTXV
Lightricks
LTXV offers a suite of AI-powered creative tools designed to empower content creators across various platforms. LTX provides AI-driven video generation capabilities, allowing users to craft detailed video sequences with full control over every stage of production. It leverages Lightricks' proprietary AI models to deliver high-quality, efficient, and user-friendly editing experiences. LTX Video uses a breakthrough called multiscale rendering, starting with fast, low-res passes to capture motion and lighting, then refining with high-res detail. Unlike traditional upscalers, LTXV-13B analyzes motion over time, front-loading the heavy computation to deliver up to 30× faster, high-quality renders.Starting Price: Free -
6
Dash0
Dash0
Dash0 is an OpenTelemetry-native observability platform for developers and SRE teams. Metrics, logs, traces, and resources sit in one place, linked by OpenTelemetry semantic conventions, so you move from a slow trace to the logs around it without switching tools. Telemetry arrives over OTLP. No proprietary agent, nothing to re-instrument, and your data stays portable. Dash0 ingests Prometheus metrics alongside OpenTelemetry, supports PromQL, and imports existing Prometheus alerting rules and Grafana dashboards. A Kubernetes operator handles collection across clusters. Dashboards are built on Perses and defined as code, so they live in Git alongside your infrastructure. Log AI infers severity, extracts patterns, and groups records, making unstructured third-party logs searchable. Trace triage uses the SIFT framework to narrow a failing request toward a cause. Spend is visible in-product: see which services and log volumes drive cost, and cut them at the source.Starting Price: $0.00 per month -
7
Grok Code Fast 1
SpaceXSI
Grok Code Fast 1 is a high-speed, economical reasoning model designed specifically for agentic coding workflows. Unlike traditional models that can feel slow in tool-based loops, it delivers near-instant responses, excelling in everyday software development tasks. Built from scratch with a programming-rich corpus and refined on real-world pull requests, it supports languages like TypeScript, Python, Java, Rust, C++, and Go. Developers can use it for everything from zero-to-one project building to precise bug fixes and codebase Q&A. With optimized inference and caching techniques, it achieves impressive responsiveness and a 90%+ cache hit rate when integrated with partners like GitHub Copilot, Cursor, and Cline. Offered at just $0.20 per million input tokens and $1.50 per million output tokens, Grok Code Fast 1 strikes a strong balance between speed, performance, and affordability.Starting Price: $0.20 per million input tokens -
8
GLM-5.1
Z.ai
GLM-5.1 is the latest iteration of Z.ai’s GLM series, designed as a frontier-level, agent-oriented AI model optimized for coding, reasoning, and long-horizon workflows. It builds on the GLM-5 architecture, which uses a Mixture-of-Experts (MoE) design to deliver high performance while keeping inference costs efficient, and is part of a broader push toward open-weight, developer-accessible models. A core focus of GLM-5.1 is enabling agentic behavior, meaning it can plan, execute, and iterate across multi-step tasks rather than simply responding to single prompts. It is specifically designed to handle complex workflows such as debugging code, navigating repositories, and executing chained operations with sustained context. Compared to earlier models, GLM-5.1 improves reliability in long interactions, maintaining coherence across extended sessions and reducing breakdowns in multi-step reasoning.Starting Price: Free -
9
Kimi K2.6
Moonshot AI
Kimi K2.6 is a next-generation agentic AI model developed by Moonshot AI, designed to push forward real-world execution, coding, and multi-step reasoning beyond earlier K2 and K2.5 versions. It builds on a Mixture-of-Experts architecture and the multimodal, agent-first foundation of the Kimi series, combining language understanding, coding, and tool use into a single system capable of planning and executing complex workflows. It introduces deeper reasoning capabilities and significantly improved agent planning, allowing it to break down tasks, coordinate tools, and handle multi-file or multi-step problems with greater accuracy and efficiency. It supports advanced tool calling with high reliability, enabling integration with external systems such as web search or APIs, and includes built-in validation mechanisms to ensure correct execution formats.Starting Price: Free -
10
PromptUnit
PromptUnit
PromptUnit cuts your AI API bill without hurting answer quality. Inferio, the engine inside PromptUnit, checks every request your app or agent sends. When a cheaper model is just as good for that request, it uses it; otherwise the request goes to the model you asked for. If you connect keys for more than one provider, the cheaper model can be at another of them. Setup is two settings: point your AI API address at PromptUnit and add your PromptUnit key. Your own provider keys stay yours. Works with OpenAI, Anthropic, Google Gemini, Groq and DeepSeek keys, and with your own OpenRouter key, plus tools like n8n, Open WebUI, LibreChat and Dify. The dashboard shows every request: the model asked for, the model that answered, what it cost and what it saved. It also groups requests into the steps of your app and shows what each step costs. Pricing: the first $5 of savings is free, then 20% of what PromptUnit saves you, billed weekly. Nothing if it saves nothing.Starting Price: Free -
11
Qwen3.7-Max
Alibaba
Qwen3.7-Max is Qwen’s latest proprietary model designed for the agent era, built to be a versatile agent foundation that is equally capable of writing and debugging code, automating office workflows, and sustaining autonomous browser sessions over long horizons. It reaches frontier-level coding performance, with stronger results across software engineering, terminal tasks, GUI grounding, web browsing, and agentic tool use. Qwen3.7-Max is designed to reduce the gap between model intelligence and real agent execution by supporting planning, long-context reasoning, reliable function calling, and multi-step task completion across complex workflows. It also strengthens multimodal and document-oriented work through Qwen Studio, which supports chatbot interaction, image and video understanding, image generation, document processing, presentation generation, coding assistance, deep research, and web development.Starting Price: Free -
12
omp
omp
omp is an open source AI coding agent and development harness that provides developers with a powerful local environment for AI-assisted engineering. It connects AI models directly to IDE capabilities, debugging tools, code execution, language servers, browser automation, memory, and dozens of built-in development tools. It supports more than 40 AI providers while allowing developers to use a single interface across cloud and local language models. omp enhances coding performance with features such as intelligent code editing, parallel subagents, persistent execution environments, integrated debugging, and advanced code review workflows. It also includes collaborative sessions, local memory, workflow automation, browser control, and GitHub integration to streamline complex software development tasks. Built with a native Rust engine and designed for Windows, macOS, and Linux, omp helps developers build, debug, and maintain software.Starting Price: Free -
13
Nimbus
Nimbus BCI
Nimbus is a BCI research workspace for designing, running, and evaluating electroencephalography (EEG) pipelines. Researchers and neuroengineering teams can assemble processing steps visually, use public datasets or upload their own data, compare model configurations, and export pipelines as Python code. The platform includes preprocessing and machine-learning components, simulation and playback, model evaluation, and support for live EEG deployment with compatible hardware. Nimbus Studio provides a web-based visual builder and desktop applications for macOS and Windows, including local/offline workflows. Its API enables pipeline execution from other systems, while Nimbus MCP connects compatible AI coding clients to dataset search, pipeline creation, and experiment tools. A free tier supports prototyping; paid plans add expanded runs, private data, GPU compute, and live hardware capabilities.Starting Price: $29/month -
14
Ha Tang
Ha Tang
Ha Tang is a customer support, email and payments platform for Vietnamese businesses and software teams. Its shared inbox brings together Zalo (Official Account and personal), Facebook Messenger, Instagram, TikTok, WhatsApp, email and live chat on websites and in mobile apps. An AI assistant answers from company knowledge, follows situation rules, drafts orders and hands conversations to human agents. The platform matches VietQR bank transfers to orders and issues e-invoices when orders are paid. Its email module supports transactional delivery through a REST API and SMTP, verified domains, inbound email and team groups. Developers can use REST APIs, webhooks, SDKs for Node, Flutter, iOS and Android, and an MCP server. Agents work from a web dashboard and native iOS, Android and macOS apps.Starting Price: 690,000 VND/month -
15
Codacy
Codacy
Codacy is a comprehensive platform for code quality and security that helps development teams build secure, maintainable, and compliant software. It integrates across the entire development lifecycle, from IDE to production, providing real-time feedback and automated checks. Codacy analyzes code repositories, enforces quality standards, and detects vulnerabilities before deployment. With AI Guardrails, it also protects against risks introduced by AI-generated code. The platform centralizes rules and policies, ensuring consistency across teams and projects. Developers benefit from automated pull request checks, test coverage tracking, and actionable insights. Overall, Codacy enables faster development without compromising security or code quality.Starting Price: $21/user/month -
16
DeepSource
DeepSource
DeepSource is an AI-powered code review platform designed to help development teams maintain high-quality, secure, and reliable code. The platform automates code reviews using a hybrid approach that combines static analysis with advanced AI agents. It integrates directly with development workflows through platforms like GitHub, GitLab, Bitbucket, and Azure DevOps. DeepSource analyzes pull requests in real time, identifying bugs, security vulnerabilities, code complexity issues, and maintainability risks before code reaches production. The system provides structured feedback and inline comments to help developers quickly understand and resolve issues. Additional features such as secrets detection, dependency vulnerability scanning, and infrastructure-as-code review strengthen application security. By automating repetitive review tasks and providing intelligent insights, DeepSource enables teams to ship software faster while maintaining strong code quality standards.Starting Price: $24/user/month -
17
Ona
Ona
Ona, formerly Gitpod, is a modern development platform that provides mission control for software projects and engineering agents. It allows developers to keep momentum on any device by offering sandboxed, API-first environments in the cloud or within a company’s VPC. These environments come pre-configured with tools, dependencies, and controls, ensuring a consistent and secure setup for professional software engineering. Ona Agents further enhance productivity by assisting with tasks like scoping, writing, reviewing, and documenting code across the entire development lifecycle. Enterprise-ready guardrails deliver fine-grained permissions, policies, and audit trails, giving organizations full control over compliance and security. Trusted by millions of developers and Fortune 500 companies, Ona integrates seamlessly with tools like GitHub, GitLab, AWS, Copilot, and Amazon Bedrock.Starting Price: $20/month -
18
CodeSandbox
CodeSandbox
CodeSandbox is a cloud development platform that empowers development teams to code, collaborate, and ship projects of any size from any device in record time. Run your code in powerful microVMs and build anything without limits. We configure your environment for you and keep your code always ready, behind a URL. Boxy, the CodeSandbox AI coding assistant, is also now available to all Pro subscribers.Starting Price: $12 per month -
19
JetBrains Datalore
JetBrains
Datalore is a collaborative data science and analytics platform aimed at boosting the whole analytics workflow and making work with data enjoyable for both data scientists and data savvy business teams across the enterprise. Keeping a major focus on data teams workflow, Datalore offers technical-savvy business users the ability to work together with data teams, using no-code or low-code together with the power of Jupyter notebooks. Datalore enables analytical self-service for business users, enabling them to work with data using SQL and no-code cells, build reports and deep dive into data. It offloads the core data team with simple tasks. Datalore enables analysts and data scientists to share results with ML Engineers. You can run your code on powerful CPUs or GPUs and collaborate with your colleagues in real-time.Starting Price: $19.90 per month -
20
Pillow
Pillow
The Python Imaging Library adds image processing capabilities to your Python interpreter. This library provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities. The core image library is designed for fast access to data stored in a few basic pixel formats. It should provide a solid foundation for a general image processing tool. Pillow for enterprise is available via the Tidelift subscription. The Python Imaging Library is ideal for image archival and batch processing applications. You can use the library to create thumbnails, convert between file formats, print images, etc. The current version identifies and reads a large number of formats. Write support is intentionally restricted to the most commonly used interchange and presentation formats. The library contains basic image processing functionality, including point operations, filtering with a set of built-in convolution kernels, and color space conversions.Starting Price: Free -
21
Predibase
Predibase
Declarative machine learning systems provide the best of flexibility and simplicity to enable the fastest-way to operationalize state-of-the-art models. Users focus on specifying the “what”, and the system figures out the “how”. Start with smart defaults, but iterate on parameters as much as you’d like down to the level of code. Our team pioneered declarative machine learning systems in industry, with Ludwig at Uber and Overton at Apple. Choose from our menu of prebuilt data connectors that support your databases, data warehouses, lakehouses, and object storage. Train state-of-the-art deep learning models without the pain of managing infrastructure. Automated Machine Learning that strikes the balance of flexibility and control, all in a declarative fashion. With a declarative approach, finally train and deploy models as quickly as you want. -
22
Comet
Comet
Manage and optimize models across the entire ML lifecycle, from experiment tracking to monitoring models in production. Achieve your goals faster with the platform built to meet the intense demands of enterprise teams deploying ML at scale. Supports your deployment strategy whether it’s private cloud, on-premise servers, or hybrid. Add two lines of code to your notebook or script and start tracking your experiments. Works wherever you run your code, with any machine learning library, and for any machine learning task. Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. Monitor your models during every step from training to production. Get alerts when something is amiss, and debug your models to address the issue. Increase productivity, collaboration, and visibility across all teams and stakeholders.Starting Price: $179 per user per month -
23
ScraperAPI
ScraperAPI
ScraperAPI is a powerful web scraping API that enables users to collect data from any public website without worrying about proxies, browsers, or CAPTCHA challenges. It offers scalable and consistent data extraction solutions, including plug-and-play scraping, structured endpoints, and asynchronous request handling. The platform supports scraping popular sites like Amazon, Google, Walmart, and more, transforming raw web pages into clean, structured JSON or CSV data. Users can automate complex data pipelines without coding and benefit from global proxy coverage and geotargeting. ScraperAPI saves development time by managing proxy rotation, CAPTCHA solving, and browser rendering behind the scenes. Trusted by over 10,000 companies, it serves billions of requests monthly to help businesses gain competitive advantage through efficient data collection.Starting Price: $49 per month -
24
AssemblyAI
AssemblyAI
Automatically convert audio and video files and live audio streams to text with AssemblyAI's speech-to-text APIs. Do more with audio intelligence, summarization, content moderation, topic detection, and more. Powered by cutting-edge AI models. From in-depth tutorials to detailed changelogs, to comprehensive documentation, AssemblyAI is focused on providing developers a great experience every step of the way. From core speech-to-text conversion to sentiment analysis, our simple API offers a full suite of solutions catered to all your business speech-to-text needs. We work with startups of all sizes, from early-stage startups to scale-ups, by providing cost-efficient speech-to-text solutions. We're built for scale. We process millions of audio files every day for hundreds of customers, including dozens of Fortune 500 enterprises. Universal-2: Our most advanced speech-to-text model captures the complexity of human speech for impeccable audio data that powers sharper insights.Starting Price: $0.00025 per second -
25
OpenCV
OpenCV
OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code. The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, and stitch images together to produce a high-resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery, etc.Starting Price: Free -
26
scikit-image
scikit-image
scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. scikit-image provides a versatile set of image processing routines in Python. This library is developed by its community, and contributions are most welcome! scikit-image aims to be the reference library for scientific image analysis in Python. We accomplish this by being easy to use and install. We are careful in taking on new dependencies, and sometimes cull existing ones, or make them optional. All functions in our API have thorough docstrings clarifying expected inputs and outputs. Conceptually identical arguments have the same name and position in a function signature. Test coverage is close to 100% and code is reviewed by at least two core developers before being included in the library.Starting Price: Free -
27
Superblocks
Superblocks
Superblocks is a platform that enables businesses to build AI-powered enterprise applications on their company data. It allows non-technical teams to generate apps quickly while IT maintains control over security and governance. The platform integrates with data sources like Snowflake, Databricks, AWS, and Azure. Superblocks ensures that all apps follow centralized authentication, access control, and auditing policies. It acts as a secure layer between AI apps and business systems. Teams can create internal tools without heavy engineering involvement. Overall, it combines AI app development with enterprise-grade governance.Starting Price: $100/month -
28
Replicate
Replicate
Replicate is a platform that enables developers and businesses to run, fine-tune, and deploy machine learning models at scale with minimal effort. It offers an easy-to-use API that allows users to generate images, videos, speech, music, and text using thousands of community-contributed models. Users can fine-tune existing models with their own data to create custom versions tailored to specific tasks. Replicate supports deploying custom models using its open-source tool Cog, which handles packaging, API generation, and scalable cloud deployment. The platform automatically scales compute resources based on demand, charging users only for the compute time they consume. With robust logging, monitoring, and a large model library, Replicate aims to simplify the complexities of production ML infrastructure.Starting Price: Free -
29
Towhee
Towhee
You can use our Python API to build a prototype of your pipeline and use Towhee to automatically optimize it for production-ready environments. From images to text to 3D molecular structures, Towhee supports data transformation for nearly 20 different unstructured data modalities. We provide end-to-end pipeline optimizations, covering everything from data decoding/encoding, to model inference, making your pipeline execution 10x faster. Towhee provides out-of-the-box integration with your favorite libraries, tools, and frameworks, making development quick and easy. Towhee includes a pythonic method-chaining API for describing custom data processing pipelines. We also support schemas, making processing unstructured data as easy as handling tabular data.Starting Price: Free -
30
IDWise
IDWise
Convert good folks to good customers faster and build trust. Identity verification made simple. 13,000+ ID documents supported in 200+ countries and territories. Up to 50 AI-based Security Checks on each ID Document in seconds. Bank-Grade certified Biometrics Checks. Unparalleled Emerging Markets expertise. Dramatically accelerate customer conversion and bring down abandonment rates with IDWise’s fully automated, AI-driven, highly accurate and user-friendly identity verification solution. At IDWise we love to keep things simple. Everything from our simple all-in pricing plans to our seamless integration is tailored to help you serve your customers quickly and reliably with minimal friction, while focusing your precious resources at what you do best – running your business. We pride ourselves in our long-term partnership approach, recognizing that no two companies are the same when it comes to finding the right mix between speed, user experience, fraud prevention and compliance.Starting Price: $1 per verification
