Free Open Source
Java Machine Learning Framework

SuperML Java is an open source free to use machine learning framework providing practical tutorials, Java ML framework, and educational resources to help you learn, build, and deploy ML & AI projects efficiently. Free to use with attribution.

Our Mission: Democratizing Machine Learning & AI through open source education, free resources, and community support. Always free to use with simple attribution.

How this will help you

Learn, Build, and Deploy with SuperML

Open source ML/AI learning paths, free Java framework, and educational resources to accelerate your machine learning journey.

Free Tutorials

Step-by-step guides that help you learn and implement ML & AI concepts efficiently. Always free with attribution.

Open Source Framework

SuperML Java - A complete, free machine learning framework for enterprise developers.

Educational Resources

Comprehensive learning materials and documentation to support your ML/AI journey.

Community & Support

Join our growing community to collaborate, learn, and build together.

Start your ML journey with SuperML

Step 1: Learn

Access beginner to advanced tutorials to master ML and AI fundamentals and practical applications.

Step 2: Build

Experiment and build projects using our free Java framework and educational resources.

Step 3: Connect

Join our GitHub Discussions to ask questions, share projects, and collaborate with the community.

Step 4: Deploy

Take your projects live with our resources, community support, and best practices.

ML Learning Steps Image

Open Source Products

Built by SuperML. Free for Everyone.

Two open source products to accelerate how you build and ship ML and software projects.

Machine Learning

SuperML Java

A complete, free Java machine learning framework for enterprise developers. Train models, make predictions, and build ML pipelines with intuitive Java APIs.

  • Native Java API with object-oriented design patterns
  • 30+ algorithms: regression, classification, clustering, neural networks
  • Thread-safe, production-ready for enterprise applications
  • MIT licensed โ€” free to use with attribution
AI Development

Smart SDLC

A skills framework that gives GitHub Copilot, Claude, Cursor, and any AI assistant structured expertise across the full software development lifecycle โ€” no runtime required.

  • 30+ skills ยท 6 AI personas (Product, Architect, Developer & more)
  • Native integrations: JIRA, Confluence, GitHub, GitLab, Azure DevOps
  • Works with any AI assistant โ€” zero dependencies, zero config
  • MIT licensed โ€” one npx command to get started
AI Analytics

DataTruth

AI-native analytics platform that lets anyone query databases in plain English, visualize insights instantly, and enforce data quality โ€” no SQL knowledge required.

  • Natural language queries โ€” no SQL, no training needed
  • Auto-generated charts, dashboards & PDF/Excel exports
  • Connects to PostgreSQL, MySQL, Snowflake & BigQuery
  • Enterprise RBAC, audit trail & SOC 2 ready โ€” MIT licensed

Ready to start your Machine Learning journey?

Explore free tutorials, use our open source Java framework, join community discussions, and accelerate your learning and building process.