A graph-based functional API for building complex sklearn pipelines
A graph-based functional API for building complex scikit-learn pipelines. - alegonz/baikal
A graph-based functional API for building complex sklearn pipelines launched on March 14, 2020 with 77 votes, #589 of 4,417 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 6 years on.
In plain words
This is a graph-based functional API designed to help developers build complex scikit-learn pipelines. Rather than using traditional linear pipeline construction, it lets users define pipelines as directed graphs, enabling more intricate data processing workflows. It's particularly useful for machine learning engineers and data scientists who need to create non-sequential transformations and model architectures beyond what standard sklearn pipelines support. The tool launched in 2020 and is available on GitHub.
written from the facts on this page · September 2026
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