TLeaf
TLeaf is a software framework designed to manage and process tree-structured data. It provides specialized data structures and algorithms for efficiently storing, querying, and updating trees where the primary objects are leaves and internal nodes link to them. The project emphasizes on-disk persistence, concurrency, and scalable queries.
Core concepts include a leaf-first storage model, where leaves carry payloads; internal nodes maintain meta-information such
Implementations span several languages, with reference implementations in C++ and Rust, plus bindings for Python and
Typical use cases include large hierarchical datasets, such as source code repositories, organizational charts, phylogenetic trees,
TLeaf emerged in academic circles and small-scale open-source projects in the 2020s. It has seen limited adoption
See also: Tree data structures, Trie, Merkle tree, Graph database, Columnar storage.