Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Meltano: the declarative code-first data integration engine that powers your wildest data and ML-powered product ideas. Say goodbye to writing, maintaining, and scaling your own API integrations.
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
MCP server for the GitLab REST API — 91 tools, 7 resources, 6 prompts for projects, MRs, draft reviews, repository files, pipelines, CI/CD, approvals and issues. MCP 2026-07-28 (MCP 2.0); GitLab.com and self-managed; read-only mode, OAuth 2.1 and local sign-in.
user-configurable pipeline orchestration. decompose, review, automate — every level from broad architecture to precise code, your choice of models, structured artifacts human and ai readable. pairs with context-forge. you're in control.