Mondher

Mondher is a research-grade Formal Concept Analysis platform. It reads formal contexts in five formats, computes formal concepts, mines implication bases and association rules, and renders lattice diagrams as SVG and TikZ.

Mondher is built in Rust with a modular monolith architecture. The same engine powers the command-line tool, the HTTP API, the Python bindings, and the web frontend.

Project status

Phase 1 of the 12-month build plan is in progress. As of Day 91, Mondher ships:

• Five input/output formats: Burmeister .cxt, CSV/TSV, FIMI .dat, FCA-XML, native JSON
• NextClosure concept enumeration
• Duquenne-Guigues canonical implication base
• Association rule mining
• Sugiyama-style lattice layout
• SVG and TikZ rendering
• Cross-validated correctness against fcaR

Where to next

• New to Mondher? Start with the quickstart.
• Need a particular file format? See the formats reference.
• Want every command and flag? See the CLI reference.
• Curious about how correctness is verified? See the validation methodology.