katanaml/katana-skipper
An ML workflow engine that orchestrates microservices for data processing, model training, and serving.
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Katana Skipper is a machine learning workflow engine that orchestrates events across microservices to create executable ML pipelines. It provides generic engine and communication components that can be configured with any microservices, along with sample ML services demonstrating data fetching, TensorFlow model training, and prediction serving. The engine supports Docker, Docker Compose, and Kubernetes deployment, and can handle services in Python, JavaScript, or other languages.
Frequently asked
- What is katanaml/katana-skipper?
- An ML workflow engine that orchestrates microservices for data processing, model training, and serving.
- Is katana-skipper open source?
- Yes — katanaml/katana-skipper is open source, released under the Apache-2.0 license.
- What language is katana-skipper written in?
- katanaml/katana-skipper is primarily written in Python.
- How popular is katana-skipper?
- katanaml/katana-skipper has 418 stars on GitHub.
- Where can I find katana-skipper?
- katanaml/katana-skipper is on GitHub at https://github.com/katanaml/katana-skipper.