📊 数据分析 — Top 10 AI Agent 工具
把 Excel / CSV / JSON 扔给 AI，让它自动画图、找规律、写结论。支持 pandas、Jupyter、BI 工具集成，适合数据产品、业务分析、运营报表等场景，让每个人都有数据分析师。
共收录 149 个工具 · 显示评分最高 10 个
K-Dense-AI/scientific-agent-skills
精选PythonTurn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemist
airbytehq/airbyte
精选PythonOpen-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.
- **Giving AI agents, LLMs, or MCP clients real-time access to business data** (CRMs, support tools, SaaS APIs, databases) → use [Airbyte Agents](https://docs.airbyte.com/ai-agents/), the managed daCanner/WrenAI
精选PythonGenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data s
EKKOLearnAI/hermes-studio
精选TypeScriptWeb dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics
EKKOLearnAI/hermes-web-ui
精选TypeScriptWeb dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics
agent-infra/sandbox
精选PythonAll-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.
docker run --security-opt seccomp=unconfined --rm -it -p 8080:8080 ghcr.io/agent-infra/sandbox:latestOpenSenseNova/SenseNova-Skills
精选PythonModular SenseNova skills for building AI-powered office assistants and productivity workflows
kenn-io/agentsview
精选GoLocal-first session search, analytics, insights, and token use statistics for coding agents, supporting Claude Code, Codex, and more than 20 other agents.
docker run --rm -p 127.0.0.1:8080:8080 \ruc-datalab/DeepAnalyze
精选PythonDeepAnalyze 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！
lmnr-ai/lmnr
精选TypeScriptLaminar - open-source observability platform purpose-built for AI agents. YC S24.
💡 如何选择合适的 数据分析 工具？
评分是怎么算的？+
Trove 的评分包含 4 个维度：文档质量（Doc）、代码质量（Code）、社区活跃度（Community）和近期更新（Activity），总分 25 分，并划分为精选（≥20）、已验证（≥12.5）、社区（<12.5）三档。
如何选择适合自己的工具？+
先看 tier（精选/已验证优先），再看 stars 和近期更新时间，最后看 install_hint 确认安装方式是否符合你的环境（npm/pip/go 等）。
这些工具支持哪些 AI 平台？+
大多数工具以 MCP 协议为标准，兼容 Claude、OpenClaw、Codex、Cursor 等主流 AI 平台。部分工具还提供 OpenAI Function / LangChain Tool 格式。
如何把自己的工具上榜？+
在 GitHub 发布你的工具，带上相关 topic（如 mcp-server、ai-agent-skills），Trove 的爬虫会自动收录并评分。也可以到 opentrove.ai/publish 主动提交。