Updated for 2026

Data Science Platforms

A curated list of leading platforms for data science, machine learning, analytics, and AI development — from visual workflow tools to enterprise MLOps and governed AI at scale.

10 platforms 100% links verified Last checked July 2026

All 10 Platforms

Showing all 10 platforms

  1. Dataiku

    End-to-end platform for AI and machine learning. Amplify the impact and productivity of data science teams, bringing robust tooling for model design, development, and delivery.

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  2. Connects data, business context, and AI for insights that lead to confident decisions — automating workflows across prep, analysis, and action.

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  3. Build, deploy, and manage AI. Access data, tools, compute, models, and projects across any environment — built, scaled, and governed as one.

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  4. A comprehensive statistical analysis platform designed to help organizations and individuals extract reliable insights from data, with AI-assisted output explanations.

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  5. Ensures users remain on the bleeding edge of data science, with 300+ connectors to data sources and integrations to all popular machine learning libraries.

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  6. A visual data science platform that makes smart people smarter — combining market-leading visual analytics, data science, and data wrangling to analyze data at-rest, in-motion, and at-scale.

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  7. Supports traditional ML, GenAI, and agentic AI; offers secure, scalable, and governed AI development; and ensures data and model privacy from idea to deployment.

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  8. Operationalizes and de-risks ML and gen AI applications at scale so organizations can implement AI effectively and responsibly in live business environments.

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  9. Empowers data scientists with automated feature discovery, making it easier to use all your data in building better, more accurate ML models.

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  10. Tellius

    The AI platform for your company's data and knowledge — empower anyone to uncover insights, automate workflows, and drive actions with AI.

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