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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
    Berri.ai logo

    Berri.ai's LiteLLM Manages Language Models with Advanced Security and Content Safety

  6. 6
    Jina AI logo

    Jina AI Launches Serverless AI Tools for Web Data Processing

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    Gradio logo

    Gradio Simplifies Machine Learning Deployment with Browser-Based Interfaces

  8. 8
    FlowiseAI fallback logo

    FlowiseAI Revolutionizes Low-Code AI App Development with Directed Cyclic Graph Architecture

  9. 9
    Virtuoso QA logo

    Virtuoso Revolutionizes Software Testing with AI-Powered Automation

  10. 10
    H2O AI fallback logo

    H2O.ai Democratizes AI with Community-Powered Innovation