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AI agent tools for data science

Short answer: Our top pick for data science: pyod, with the highest AgentPick Score (81/100) among tools tagged "data-science". Runners-up: kubeflow (72) and BambooAI (64). Compare what each does, its license and how recently it was updated below.
#ToolWhat it doesScoreStarsLicenseUpdated
#1pyodA Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orche…81/100★ 10kBSD-2-Clause12 Oct 2026
#2kubeflowThe Cloud Native AI Platform72/100★ 16kApache-2.030 Sept 2026
#3BambooAIAn LLM-driven data analyst that works in a persistent Python kernel. Web app, Docker-isolated execution, your own model keys. Full support for open we…64/100★ 794MIT13 Oct 2026
#4WaxShared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pu…62/100★ 804Apache-2.01 Oct 2026
#5agentic-data-scientistAn end-to-end Data Scientist40/100★ 829MIT18 Aug 2026
#6EvoOntologyEvoOntology: A Self-Evolving Ontology Layer for Data Agents ⚙️ EvoOntology插件为Claude Code/Codex 建立&进化本体层38/100★ 826MIT9 Oct 2026
#7RAGLightRAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, a…35/100★ 672MIT2 Sept 2026
#8second-brainSecond Brain is an agentic framework that acts as an operating system, using local file intelligence, workflow automation, and LLMs to complete tasks …34/100★ 670MIT26 Sept 2026

Source: each project's public GitHub repository (description, stars, license, last push). Listed tools aren't tested or ranked by AgentPick.

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