pipcook

Why we included this project

JavaScript and front-end engineers who want to add machine learning to their projects often hit a wall when the tooling assumes Python. Pipcook removes that wall: it turns the entire workflow from data ingestion to training, evaluation, and serving into a pipeline framework that runs inside Node, with TensorFlow.js handling the computation underneath. TypeScript teams can define pipelines in code, mix built-in or custom plugins, and manage runs through the bundled CLI and dashboard instead of standing up a separate Python ecosystem. It is a practical choice for web teams that want reproducible, scriptable ML inside their own build and runtime, not a research-grade training library. If your front-end team already owns JavaScript, this lets them own the models too.