🌳 Documentation

Tree Implementation and Methods for Python, integrated with list, dictionary, pandas and polars DataFrame.

Key features:

A hierarchical data framework for Python
Fast: High performance, faster than other tree libraries. Read more at the section benchmarks
Flexible: Seamlessly convert structured datasets into hierarchical representation
Intuitive: Pythonic, easy to learn and extend to many types of workflows
Rich API: Efficient and optimised traversal, parsing, modification, query, and search operations
Scalable: From simple hierarchies to production-grade workflow with large datasets

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Installation