Treenee, a simple “decision tree” engine
The decision tree App. Contribute to claudioc/treenee development by creating an account on GitHub.
Treenee, a simple “decision tree” engine launched on August 2, 2020 with 12 votes, #944 of 3,833 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 6 years on.
In plain words
Treenee is a decision tree engine designed for people who want to organize complex choices into visual, step-by-step workflows. It breaks down problems into manageable questions that lead to specific outcomes. The tool is useful for anyone creating decision frameworks, whether for personal planning, troubleshooting, or helping others navigate options. It's available as open-source code on GitHub, making it accessible for users who want to implement or customize decision trees for their own purposes.
written from the facts on this page · September 2026
Does a similar job
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Hi All, I would like to share with you a new Python package for interactive decision tree visualization. It is called `supertree`. It visualizes decision tree as interactive graph, where you can collapse and expand selected nodes. You can zoom and pan though large trees. It works with Scikit-learn, Xgboost, and LightGBM. The package works in notebooks: Jupyter Lab, Jupyter Notebook, Google Colab. You can also use it in Python scripts and save output trees to HTML. The package is available on pip: `pip install supertree`. You can find code examples on the GitHub:…
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