Python libraries and technical projects connected to production ML, optimization, MLOps, and operations research.
Recent
[ Flagship Product · Early Alpha ]
Ciaren
Jan 2026
An open-core visual workflow builder for data pipelines and lightweight machine learning. Build pipelines on a drag-and-drop canvas with 80 built-in nodes, preview every step on real data, and export clean Python: pandas or Polars. Local-first and extensible through a signed plugin system, with a plugin marketplace coming soon.
Visual WorkflowsData PipelinesOpen CorePlugin System
A scikit-learn-compatible library for hyperparameter tuning and feature selection powered by evolutionary algorithms. A drop-in replacement for GridSearchCV and RandomizedSearchCV: finds optimal parameters faster across any estimator, pipeline, or callable. Actively maintained since 2021, published on PyPI and conda-forge, and used in production ML pipelines by teams worldwide.
A Python library for workforce management optimization: Erlang-C queue modeling for call center staffing, LP-based shift scheduling, and multi-skill rostering. Built for operations teams that need rigorous mathematical solutions, not heuristics.
An interactive learning platform for Data Science and Machine Learning: notebooks and SQL that run entirely in the browser, a skill graph that shows exactly what to learn next, guided learning paths toward data roles, and spaced-repetition review. Currently in private development.
Learning PlatformIn-Browser CodeSkill Graphs
Coming soon
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