inukshuk/anystyle

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1285 stars · 103 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

AnyStyle is a fast machine-learning-based parser that splits bibliographic references into structured segments like author, title, and publisher. It is available as a Ruby gem, a command-line tool, and a self-hostable web application, with support for training custom models.

Use cases

• parse academic citations into structured fields
• convert a bibliography text file into JSON or other formats
• find references within a document
• train a custom citation parser model for my citation style or language
• correct and label parsed references in a web token editor
• self-host a citation parsing web service

When to choose

• you need to segment raw bibliographic reference strings into author, title, date, and publisher fields
• you work in Ruby and want a programmable citation parser
• your citation style or language is poorly handled by rule-based parsers and you can train a custom model
• you want a self-hosted web tool for cleaning up reference lists

When to avoid

• you need to format citations into specific styles like APA or MLA rather than parse them
• you are not in the Ruby ecosystem and cannot use the CLI or web app
• you need to parse full PDF documents rather than reference strings
• you require a license-friendly dependency for commercial redistribution, since the license is non-standard

Facets

library · maturity active

parser machine-learning nlp cli education developer-tools data-science ruby cli cross-platform bibliography citation-parsing conditional-random-fields references academic-writing trainable-models natural-language-processing web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="inukshuk/anystyle")