AI Tools for Data Scientists
Data science workflows are being supercharged by AI. From automated EDA and feature engineering to model monitoring and report generation, these tools help data scientists spend less time on boilerplate and more on insights.
Updated April 2026 · 19 tools curated
Top Picks for Data Scientists
Metadata store for ML model building and management
0ML experiment management and model production monitoring
0ML experiment tracking and model management platform
0All AI Tools for Data Scientists
Neptune.ai
Metadata store for ML model building and management
Baseten
ML model deployment and inference platform
Obviously AI
No-code machine learning predictions
Comet
ML experiment management and model production monitoring
Polymer
AI-powered data visualization and exploration
Mode
Collaborative analytics platform with AI
Weights & Biases
ML experiment tracking and model management platform
ChatDB
Chat with your database using natural language
MonkeyLearn
No-code text analytics with machine learning
Rows
Spreadsheet with built-in AI and integrations
Equals
AI-powered spreadsheet for startups and finance teams
MLflow
Open-source platform for the ML lifecycle
Observable
Interactive data visualization notebooks
Akkio
No-code predictive AI for business teams
MindsDB
AI tables inside your existing database
Hex
Collaborative data workspace with AI
Metabase
Open source business intelligence and analytics
Deepnote
AI-powered collaborative data notebook
Julius AI
AI-powered data analysis and visualization
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