Data radar: agents and agent frameworks

Momentum based on available 7-day snapshots for Data: measured with two snapshots, estimated otherwise. Each value shows its own source window. This page reads stored snapshots only.

Radar filters

Tool ranking

Ranked by measured growth, normalized across sources. Raw values keep their source-specific window, shown under each tool; a change requires at least two snapshots from the last 7 days.

  1. 1

    Agent
    Active

    The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models…

    PythonLicense: Apache-2.0
    • agentops
    • agents
    • ai
    • ai-governance
    • apache-spark

    githubmeasured growthOpen source ↗

    27 759GitHub stars+78 (+0.28 %)
  2. 2

    Agent
    Active

    AI video translation & dubbing tool for humans and AI Agents, powered by LLMs. Full pipeline: download, transcribe, translate, TTS dub, reformat, cover generation. 100+ languages, optimized for YouTube, TikTok, Bilibili, Douyin, and…

    GoLicense: GPL-3.0
    • dubbing
    • localization
    • tts
    • video-transcription
    • video-translation

    githubmeasured growthOpen source ↗

    11 313GitHub stars+48 (+0.43 %)
  3. 3

    Agent
    Active

    Incremental engine for long horizon agents 🌟 Star if you like it!

    RustLicense: Apache-2.0
    • agentic-data-framework
    • ai
    • ai-agents
    • change-data-capture
    • codebase-intelligence

    githubmeasured growthOpen source ↗

    11 445GitHub stars+43 (+0.38 %)
  4. 4

    Agent
    Active

    DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师，自动分析大量数据，一键生成专业分析报告！

    PythonLicense: MIT
    • agent
    • agentic
    • agentic-ai
    • ai
    • ai-scientist

    githubmeasured growthOpen source ↗

    4 582GitHub stars+17 (+0.37 %)
  5. 5

    Agent
    Active

    Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

    Python
    • agentic-ai
    • agentic-workflow
    • data-pipelines
    • hacktoberfest
    • kedro

    githubmeasured growthOpen source ↗

    10 986GitHub stars+17 (+0.15 %)
  6. 6

    Agent
    Active

    MARVIS-Agent: all-purpose credit risk agent for model development, validation, data processing, feature engineering, and strategy workflows.

    PythonLicense: MIT
    • agent
    • ai
    • ai-agent
    • credit
    • credit-risk

    githubmeasured growthOpen source ↗

    518GitHub stars+1 (+0.19 %)

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