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Releases: reeyarn/LeanRL

0.1.5

25 Dec 10:29
@reeyarn reeyarn
0.1.5
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Release v0.1.5 - First Official Release

🎉 First official release of LeanRL!

LeanRL is a lightweight, memory-efficient Python library for extracting specific information from XBRL filings and taxonomies without loading the entire DTS (Discovery Tree).

Key Features

  • Complete linkbase parsing: Label, Reference, Definition, Presentation, and Calculation linkbases
  • Taxonomy schema parsing: Extract concepts, types, and metadata from XBRL schema files
  • Hierarchical tree structures: Build and navigate concept hierarchies with ConceptTree and CalculationTree
  • Pandas integration: Convert XBRL structures to pandas DataFrames for easy analysis
  • Memory-efficient: Process one file at a time, no full DTS loading required
  • Simple API: Clean, intuitive interface returning Python dicts, lists, and DataFrames

What's Included

  • All 5 XBRL linkbase parsers (label, reference, definition, presentation, calculation)
  • Taxonomy schema parser with concept extraction
  • Tree-based hierarchy navigation (get parents, children, ancestors, paths)
  • Calculation validation with weights
  • Comprehensive documentation and examples

Requirements

  • Python 3.9+
  • pandas >= 2.2.0

Installation

pip install leanrl

Documentation

See the README and Linkbase Documentation for usage examples.

Funding: Funded by the Deutsche Forschungsgemeinschaft (DFG) – TRR 266 Accounting for Transparency.

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