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Best AI Tools for Developers

AI tools for developers cover the building blocks of AI applications. The tools here include machine learning frameworks, platforms for building and deploying LLM apps and agents, gateways that route requests across many language models, embedding and search APIs, computer vision tooling, browser demos for models, AI-written documentation and automated software testing. Some are open source libraries and others are hosted services. Each entry links to its own listing with a description and the product's website.

  1. 1
    PyTorch 2.0 logo

    PyTorch 2.0 Revolutionizes Machine Learning with Enhanced Performance and Distributed Training

  2. 2
    Roboflow logo

    Roboflow Transforms Computer Vision Development with Streamlined Tools and Scalable Infrastructure

  3. 3
    Dify fallback logo

    Dify's Modular AI Platform Enables Complex System Development with Multiple LLMs

  4. 4
    Mintlify logo

    Mintlify Transforms Documentation with AI and Git Collaboration

  5. 5
    LiteLLM logo

    An open-source AI gateway and LLM proxy that puts every model behind one key, with spend tracking, caps and routing for platform teams.

  6. 6
    Jina AI logo

    Jina AI Launches Serverless AI Tools for Web Data Processing

  7. 7
    Gradio logo

    Gradio Simplifies Machine Learning Deployment with Browser-Based Interfaces

  8. 8
    Virtuoso QA logo

    Virtuoso Revolutionizes Software Testing with AI-Powered Automation

  9. 9
    H2O AI fallback logo

    H2O.ai Democratizes AI with Community-Powered Innovation

  10. 10
    ClearML logo

    An AI infrastructure platform for building, training and deploying models at enterprise scale, with a GenAI App Engine for deploying LLMs.