244 listings

Data Science & ML: AI agents, MCP servers and skills

Models, RAG pipelines, embeddings and datasets.

Dify

Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.

Data Science & ML Not scanned yet 160k

JeecgBoot

【低代码v2.0,一句话即可生成整个系统】企业级AI低代码平台,一键生成前后端代码甚至整个系统。 AI Skills 一句话画流程、设计表单、生成报表、大屏。内置 AI应用平台涵盖:AI聊天、知识库、流程编排、MCP插件等,兼容主流大模型。引领AI低代码「Skills 生成 → 在线配置 → 代码生成 → 手工合并->AI修改」开发模式,解决 Java 项目 90% 重复工作,提高效率又不失灵活。

Data Science & ML Scanned 48k

Mindshub

The unified workspace where open-source models get things done for you.

Data Science & ML Scanned 40k

FastGPT

FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.

Data Science & ML Not scanned yet 30k

Repomix

📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.

Data Science & ML Scanned 29k

MaxKB

🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。

Data Science & ML Scanned 23k

About data science & ml tools

Models, RAG pipelines, embeddings and datasets. AgenticMart lists 244 open-source AI agents, MCP servers and agent skills in this category, built from public GitHub data and ordered by stars. Each listing shows its install command, license, activity and what it can touch.

Questions

What are the best open-source data science & ml tools?

This page lists 244 open-source AI agents, MCP servers and skills for data science & ml, ordered by GitHub stars within each type. Open a listing to compare license, activity, install steps and what it can touch.

How do I choose a tool for data science & ml?

Start from the job you need done, then compare recent activity, license and the access each tool asks for. Prefer the narrowest tool that does the job, and try it on a small task first.

Are these tools safe to install?

Not automatically. Each listing shows what the tool can touch and, where a scan has run, a dated report for one commit. Read the source and limit the access you give it.

Can I add my project to this category?

Yes. List it free on AgenticMart and pick the category that fits. Paid selling opens soon.