Best AI tools for data scientists

Open-source data analytics and machine learning platform

Enterprise AI and machine learning platform

Statistical computing language and IDE

General-purpose programming language with data science ecosystem

AI-native analytics notebook — Jupyter meets BI, with Magic AI for SQL and Python from natural language.

Unified analytics platform built on Apache Spark

Serverless enterprise data warehouse on Google Cloud

European frontier-model lab — Mistral Large 2, Codestral, and the Le Chat assistant.

Inference platform for open-source LLMs — fast, cheap hosting for Llama, Mixtral, Qwen, DeepSeek, and 200+ others.

The default model hub for open-source AI — 1M+ models, Spaces for demos, and Inference Endpoints for hosting.

The leading managed vector database — high-performance similarity search for AI applications at any scale.

Open-source vector database with built-in vectorization — AI-native search and knowledge graphs.

Open-source embedding database — the simplest way to add vector search to any Python or JS app.

Enterprise-grade embedding and rerank APIs — Command-R models and multilingual embeddings for RAG.

The MLOps platform for tracking, visualizing, and optimizing ML experiments and model training.

Enterprise LLM eval platform — logging, evals, and prompt iteration with strong offline scoring.

ML and LLM observability — model monitoring, drift detection, and agent tracing at enterprise scale.

The observability platform from LangChain — tracing, eval, and prompt management for LLM apps.

ETL for LLMs — the standard for transforming PDFs, docs, and messy data into RAG-ready chunks.

Serverless compute for AI — run Python functions on GPUs with one decorator, no infra to manage.

Unified product platform — feature flags, experimentation, product analytics, and session replay at aggressive pricing.

Feature delivery platform — flag-based release control with built-in experimentation and metric impact analysis.

Open-source feature flag and A/B testing platform — warehouse-native experimentation with full self-hostability.