SuperML Ecosystem
Products
Four open source products built to help developers learn ML, ship AI-assisted software, analyze data, and query databases in plain English. All 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
NL-2-SQL Agents
Multi-agent AI system that translates plain-English questions into accurate SQL queries — with schema discovery, autonomous refinement, and full explainability.
- Agentic query generation & autonomous refinement loop
- Supports PostgreSQL, MySQL, SQLite, Snowflake & BigQuery
- LLM agnostic — works with OpenAI, Anthropic & local models
- Embeddable REST API + Python & Java SDKs — MIT licensed
All free. All open source.
Every project is MIT licensed and free to use with attribution. Star us on GitHub and join the community.