SuperML Ecosystem
Open Source Projects
Free, open source tools built by SuperML to help developers build smarter, ship faster, and learn more. MIT licensed — free to use with attribution.
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 — free to use with attribution
Smart SDLC
A skills framework that gives GitHub Copilot, Claude, Cursor, and any AI assistant structured expertise across the full software development lifecycle — no runtime required.
- 30+ skills · 6 AI personas (Product, Architect, Developer & more)
- Native integrations: JIRA, Confluence, GitHub, GitLab, Azure DevOps
- Works with any AI assistant — zero dependencies, zero config
- MIT licensed — one
npxcommand to get started
DataTruth
AI-native analytics platform that lets anyone query databases in plain English, visualize insights instantly, and enforce data quality — no SQL knowledge required.
- Natural language queries — 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 — MIT licensed
Educational Site
STEM Education for Teenagers
A dedicated educational site at stem.superml.org — free, curated Science, Technology, Engineering & Mathematics resources built for teenagers and young learners.
- Age-appropriate science, maths & engineering lessons
- Hands-on projects & labs to spark curiosity
- Educational artifacts & reference materials
- Completely free — designed to inspire the next generation
All free. All open source.
Every project is MIT licensed and free to use with attribution. Star us on GitHub and join the community.