Best Artificial Intelligence Software for Python - Page 11

Compare the Top Artificial Intelligence Software that integrates with Python as of December 2025 - Page 11

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.

  • 1
    Dash0

    Dash0

    Dash0

    Dash0 is an OpenTelemetry-native observability platform that unifies metrics, logs, traces, and resources into one intuitive interface, enabling fast and context-rich monitoring without vendor lock-in. It centralizes Prometheus and OpenTelemetry metrics, supports powerful filtering of high-cardinality attributes, and provides heatmap drilldowns and detailed trace views to pinpoint errors and bottlenecks in real time. Users benefit from fully customizable dashboards built on Perses, with support for code-based configuration and Grafana import, plus seamless integration with predefined alerts, checks, and PromQL queries. Dash0's AI-enhanced tools, such as Log AI for automated severity inference and pattern extraction, enrich telemetry data without requiring users to even notice that AI is working behind the scenes. These AI capabilities power features like log classification, grouping, inferred severity tagging, and streamlined triage workflows through the SIFT framework.
    Starting Price: $0.20 per month
  • 2
    Parlant

    Parlant

    Parlant

    Parlant is a production-ready, open source framework for building compliant AI chat agents that reliably follow instructions and scale with complexity. It enables developers to create adaptive, iterative, and explainable conversational agents using natural-language behavior modeling, including guidelines, journeys, canned responses, retrievers, glossaries, and tools, all versionable via Git. Its guidelines let you nudge agent behavior contextually and precisely, while journeys define multi-step interaction flows; canned responses ensure consistency in high-risk scenarios; and explainability tools provide clear visibility into why each decision was made. Tools require matching guidelines to execute, cleanly separating business logic from conversation behavior, enabling developers and business experts to collaborate independently. Built-in features like session persistence, tool result tracking across sessions, and a drop-in React chat widget make it easy to install.
    Starting Price: Free
  • 3
    Splash AI

    Splash AI

    Splash AI

    Splash AI is an AI-powered data analytics and visualization platform that enables users to effortlessly transform raw data into insights using natural-language prompts, no coding required. Users simply upload their data, ask for analysis in plain English, and receive instant, actionable results in the form of clean, interactive charts, tables, or full reports. It handles data cleaning, analysis, and visualization seamlessly, and offers use-case–specific dashboards like sales analytics (performance tracking and revenue forecasting), marketing ROI (campaign effectiveness and cohort trends), financial reporting (P&L flow via Sankey diagrams and margin insights), and customer insights (segmented behavior dashboards and funnels). Entire workflows, from upload to insight, are executed in minutes, eliminating complex setups.
    Starting Price: $20 per month
  • 4
    Qoder

    Qoder

    Qoder

    Qoder is an agentic coding platform engineered for real software development, designed to go far beyond typical code completion by combining enhanced context engineering with intelligent AI agents that deeply understand your project. It allows developers to delegate complex, asynchronous tasks using its Quest Mode, where agents work autonomously and return finished results, and to extend capabilities through Model Context Protocol (MCP) integrations with external tools and services. Qoder’s Memory system preserves coding style, project-specific guidance, and reusable context to ensure consistent, project-aware outputs over time. Developers can also interact via chat for guidance or code suggestions, maintain a Repo Wiki for knowledge consolidation, and control behavior through Rules to keep AI-generated work safe and guided. This blend of context-aware automation, agent delegation, and customizable AI behavior empowers teams to think deeper, code smarter, and build better.
    Starting Price: $20/month
  • 5
    TraceRoot.AI

    TraceRoot.AI

    TraceRoot.AI

    TraceRoot.AI is an open source, AI-native observability and debugging platform designed to help engineering teams resolve production issues faster. It consolidates telemetry into a single correlated execution tree that provides causal context for failures. AI agents operate over this structured view to summarize issues, pinpoint likely root causes, and even suggest actionable fixes or draft GitHub issues and pull requests. It offers interactive trace exploration with zoomable log clusters, span and latency views, and code-linked insights. Lightweight SDKs for Python and TypeScript enable seamless instrumentation using OpenTelemetry, with support for both self-hosted and cloud deployment. Human-in-the-loop interaction is central: developers can guide reasoning by selecting relevant spans or logs, then verify agent reasoning through traceable context.
    Starting Price: $49 per month
  • 6
    Rafter

    Rafter

    Rafter

    Rafter is a developer-friendly security scanning platform that lets you detect and address vulnerabilities in your GitHub repositories with a single click or command. It integrates seamlessly via a browser-based dashboard, CLI, or REST API to scan JavaScript, TypeScript, and Python code for a range of issues, including exposed API keys, SQL injection, XSS flaws, insecure dependencies, hardcoded credentials, and authentication weaknesses. Results are clearly categorized into “Errors,” “Warnings,” and “Improvements,” each offering detailed explanations, code locations, remediation steps, and formatted prompts ready to paste into AI coding assistants. You can view findings in JSON or Markdown, automate scans within CI/CD pipelines, and pull scan results directly into your workflows. Whether you prefer no-code, low-code, or full-code environments, Rafter adapts flexibly to your setup, making proactive security early in development effortless and scalable.
    Starting Price: $39
  • 7
    Brokk

    Brokk

    Brokk

    Brokk is an AI-native code assistant built to handle large, complex codebases by giving language models compiler-grade understanding of code structure, semantics, and dependencies. It enables context management by selectively loading summaries, diffs, or full files into a workspace so that the AI sees just the relevant portions of a million-line codebase rather than everything. Brokk supports actions such as Quick Context, which suggests files to include based on embeddings and structural relevance; Deep Scan, which uses more powerful models to recommend which files to edit or summarize further; and Agentic Search, allowing multi-step exploration of symbols, call graphs, or usages across the project. The architecture is grounded in static analysis via Joern (offering type inference beyond simple ASTs) and uses JLama for fast embedding inference to guide context changes. Brokk is offered as a standalone Java application (not an IDE plugin) to let users supervise AI workflows clearly.
    Starting Price: $20 per month
  • 8
    AgentKit

    AgentKit

    OpenAI

    AgentKit is a unified suite of tools designed to streamline the process of building, deploying, and optimizing AI agents. It introduces Agent Builder, a visual canvas that lets developers compose multi-agent workflows via drag-and-drop nodes, set guardrails, preview runs, and version workflows. The Connector Registry centralizes the management of data and tool integrations across workspaces and ensures governance and access control. ChatKit enables frictionless embedding of agentic chat interfaces, customizable to match branding and experience, into web or app environments. To support robust performance and reliability, AgentKit enhances its evaluation infrastructure with datasets, trace grading, automated prompt optimization, and support for third-party models. It also supports reinforcement fine-tuning to push agent capabilities further.
    Starting Price: Free
  • 9
    Gemini Enterprise
    Gemini Enterprise is a comprehensive AI platform built by Google Cloud designed to bring the full power of Google’s advanced AI models, agent-creation tools, and enterprise-grade data access into everyday workflows. The solution offers a unified chat interface that lets employees interact with internal documents, applications, data sources, and custom AI agents. At its core, Gemini Enterprise comprises six key components: the Gemini family of large multimodal models, an agent orchestration workbench (formerly Google Agentspace), pre-built starter agents, robust data-integration connectors to business systems, extensive security and governance controls, and a partner ecosystem for tailored integrations. It is engineered to scale across departments and enterprises, enabling users to build no-code or low-code agents that automate tasks, such as research synthesis, customer support response, code assist, contract analysis, and more, while operating within corporate compliance standards.
    Starting Price: $21 per month
  • 10
    Metorial

    Metorial

    Metorial

    Metorial is an open source, developer-centric integration platform that streamlines the creation, deployment, monitoring, and scaling of agentic AI applications by connecting models to tools, data, and APIs via the Model Context Protocol. With a catalog of over 600 verified MCP “servers,” developers can give their agents capabilities like interacting with Slack, Google Calendar, Notion, APIs, databases, or other systems in just a few clicks or one API call. Metorial’s infrastructure is serverless and built for scale, deploying MCP servers in three clicks or an API call, supporting “zero to millions” of requests, and offering out-of-the-box observability including detailed logging, tracing, session replay, and error alerts. A full set of SDKs (Python, TypeScript) is provided, and every interaction is traceable so teams can audit and optimize agent behaviour. Whether self-hosted or cloud-powered, Metorial offers enterprise-grade security and multi-tenant support.
    Starting Price: $35 per month
  • 11
    CodeBanana

    CodeBanana

    CodeBanana

    CodeBanana is a real-time collaborative coding platform designed to make software development accessible and team-centric. It offers live editing features akin to “Google Docs for code,” enabling multiple users, developers, designers, and PMs to work together synchronously in the same project space. The platform incorporates an AI assistant that understands your entire repository and documentation, allowing conversational interactions. Shared virtual environments mean everyone runs the same setup in seconds, eliminating the “it ’s-working-on-my-machine” problem. Non-technical teammates can contribute via a simplified interface, while technical staff benefit from project-aware suggestions and streamlined workflows. CodeBanana aims to bridge the gap between roles, keeping teams aligned on context-, code- and project-level decisions.
    Starting Price: $36 per month
  • 12
    MiniMax M2

    MiniMax M2

    MiniMax

    MiniMax M2 is an open source foundation model built specifically for agentic applications and coding workflows, striking a new balance of performance, speed, and cost. It excels in end-to-end development scenarios, handling programming, tool-calling, and complex, long-chain workflows with capabilities such as Python integration, while delivering inference speeds of around 100 tokens per second and offering API pricing at just ~8% of the cost of comparable proprietary models. The model supports “Lightning Mode” for high-speed, lightweight agent tasks, and “Pro Mode” for in-depth full-stack development, report generation, and web-based tool orchestration; its weights are fully open source and available for local deployment with vLLM or SGLang. MiniMax M2 positions itself as a production-ready model that enables agents to complete independent tasks, such as data analysis, programming, tool orchestration, and large-scale multi-step logic at real organizational scale.
    Starting Price: $0.30 per million input tokens
  • 13
    GPT-5.1-Codex
    GPT-5.1-Codex is a specialized version of the GPT-5.1 model built for software engineering and agentic coding workflows. It is optimized for both interactive development sessions and long-horizon, autonomous execution of complex engineering tasks, such as building projects from scratch, developing features, debugging, performing large-scale refactoring, and code review. It supports tool-use, integrates naturally with developer environments, and adapts reasoning effort dynamically, moving quickly on simple tasks while spending more time on deep ones. The model is described as producing cleaner and higher-quality code outputs compared to general models, with closer adherence to developer instructions and fewer hallucinations. GPT-5.1-Codex is available via the Responses API route (rather than a standard chat API) and comes in variants including “mini” for cost-sensitive usage and “max” for the highest capability.
    Starting Price: $1.25 per input
  • 14
    Edison Analysis

    Edison Analysis

    Edison Scientific

    Edison Analysis is a next-generation scientific data-analysis agent built by Edison Scientific. It is the analytical engine underpinning their AI Scientist platform, Kosmos, and it’s available both on Edison’s platform and via API. Edison Analysis performs complex scientific data analysis by iteratively building and updating Jupyter notebooks in a dedicated environment; given a dataset plus a prompt, the agent explores, analyzes, and interprets the data to provide comprehensive insights, reports, and visualizations, very much like a human scientist. It supports execution of Python, R, and Bash code, and includes a full suite of common scientific-analysis packages in a Docker environment. Because all work is done within a notebook, the reasoning is fully transparent and auditable; users can inspect exactly how data was manipulated, which parameters were chosen, how conclusions were drawn, and can download the notebook and associated assets at any time.
    Starting Price: $50 per month
  • 15
    Kodey

    Kodey

    Kodey

    Kodey is a comprehensive AI-agent platform that lets users build, deploy, and manage autonomous AI agents without needing to write code. It offers a visual agent builder for non-technical users, enabling you to drag and drop components and connect workflows or data sources in minutes, plus full-support SDKs and APIs (e.g., Python, JavaScript, REST/GraphQL) for developers who want deeper customization. Once configured, agents run in secure, containerized environments and can be deployed to production via REST, WebSocket, or as embeddable web components; Kodey.ai automatically scales infrastructure to meet demand. It includes prebuilt integrations (databases, third-party tools, etc.), real-time monitoring and analytics, version control, and collaboration tools with role-based access control, all ensuring reliability, security, and maintainability in production workflows.
    Starting Price: $100 per month
  • 16
    TruGen AI

    TruGen AI

    TruGen AI

    TruGen AI transforms conversational agents into fully immersive, human-like video agents that can see, hear, respond, and act in real time, offering hyper-realistic avatars with expressive faces, eye contact, and natural body/face animations. These agents are powered by two core models: a video-avatar model that generates real-time, high-fidelity facial animation, and a vision model that enables context- and emotion-aware interaction (e.g., face recognition, action detection). Through a developer-first, API-based platform, you can embed these video agents into websites or apps in just a few lines of code. Once deployed, agents respond with sub-second latency, carry conversational memory, integrate with a knowledge base, and can call custom APIs or tools, allowing them to deliver context-aware, brand-consistent responses or execute actions rather than just chat.
    Starting Price: $28 per month
  • 17
    Papr

    Papr

    Papr.ai

    Papr is an AI-native memory and context intelligence platform that provides a predictive memory layer combining vector embeddings with a knowledge graph through a single API, enabling AI systems to store, connect, and retrieve context across conversations, documents, and structured data with high precision. It lets developers add production-ready memory to AI agents and apps with minimal code, maintaining context across interactions and powering assistants that remember user history and preferences. Papr supports ingestion of diverse data including chat, documents, PDFs, and tool data, automatically extracting entities and relationships to build a dynamic memory graph that improves retrieval accuracy and anticipates needs via predictive caching, delivering low latency and state-of-the-art retrieval performance. Papr’s hybrid architecture supports natural language search and GraphQL queries, secure multi-tenant access controls, and dual memory types for user personalization.
    Starting Price: $20 per month
  • 18
    Foxglove

    Foxglove

    Foxglove

    Foxglove is a visualization, observability, and data management platform purpose-built for robotics and embodied AI development that centralizes and simplifies working with large, multimodal temporal datasets, including time series, sensor logs, imagery, lidar/point clouds, geospatial maps, and more, in a single, integrated workspace. It enables engineers to record, import, organize, stream, and visualize both live and recorded data from robots using intuitive, customizable dashboards with interactive panels for 3D scenes, plots, raw messages, images, and maps, helping users understand how robots sense, think, and act. Foxglove supports real-time connections to systems like ROS and ROS 2 via bridges and web sockets, enables cross-platform workflows (desktop app for Linux, Windows, and macOS), and facilitates rapid analysis, debugging, and performance optimization by synchronizing diverse data sources in time and space.
    Starting Price: $18 per month
  • 19
    TestComplete

    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
  • 20
    Vizard Virtual Reality Software
    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
  • 21
    Codacy

    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
  • 22
    Wing Python IDE
    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.
  • 23
    Zyte

    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.
  • 24
    Meya

    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.
  • 25
    Eclipse Theia

    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
  • 26
    Intel Tiber AI Studio
    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.
  • 27
    CLion

    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
  • 28
    IntelliCode

    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.
  • 29
    JupyterLab

    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.
  • 30
    JFrog

    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