Skip to main content

Audits LaTeX papers for units, dimensions, symbols, citations, context, opacity, and prose.

Project description

eqnlint

eqnlint is a scientific LaTeX equation and text auditing toolkit.
It runs a suite of AI-powered audits to check for consistency, correctness, and plausibility in academic documents.

Installation

pip install eqnlint

Requires Python 3.9+

Command Line Usage

Run all audits:

eqnlint -f my_paper.tex

Run an individual audit:

audit-units -f my_paper.tex
audit-symbolic -f my_paper.tex
audit-context -f my_paper.tex
audit-prose -f my_paper.tex
audit-citation -f my_paper.tex
audit-opacity -f my_paper.tex
audit-dimensional -f my_paper.tex

Available Audits

  • citation_audit – Check LaTeX citations for presence, correctness, and plausibility.
  • context_audit – Verify that citations match their surrounding context.
  • dimensional_audit – Check equations for dimensional consistency.
  • opacity_audit – Identify undefined or unclear notation.
  • prose_audit – Review surrounding text for clarity and academic tone.
  • symbolic_audit – Audit symbolic math for correctness.
  • units_audit – Verify units in equations and expressions.

Example

eqnlint -v -f ~/Documents/MyPaper.tex

Outputs audit results in human-readable and/or JSON formats.

License

MIT License. See LICENSE for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

eqnlint-0.2.4.tar.gz (44.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

eqnlint-0.2.4-py3-none-any.whl (26.6 kB view details)

Uploaded Python 3

File details

Details for the file eqnlint-0.2.4.tar.gz.

File metadata

  • Download URL: eqnlint-0.2.4.tar.gz
  • Upload date:
  • Size: 44.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for eqnlint-0.2.4.tar.gz
Algorithm Hash digest
SHA256 e8196531e0097c737bc4fc6f712f7c3469d731e195446e2162bfae2dcb9c83da
MD5 b8556bde926a2bcf81dd0dc03afa1818
BLAKE2b-256 e5ff7deabd3118804daf3041b42c4663ba3a4b958633cff711b2a567d20fce6e

See more details on using hashes here.

Provenance

The following attestation bundles were made for eqnlint-0.2.4.tar.gz:

Publisher: publish.yml on tambotitree/eqnlint-project

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file eqnlint-0.2.4-py3-none-any.whl.

File metadata

  • Download URL: eqnlint-0.2.4-py3-none-any.whl
  • Upload date:
  • Size: 26.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for eqnlint-0.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 21483147761384ae09f894cef325f3730273696d8837c665b3bc622f2beb3f8b
MD5 83badbe15321ad0f326ae0d85dbba02e
BLAKE2b-256 2bc79f63f0a30f9247ff9799662b0dde4dd0a9eca9379933a527aaa9eab8f47b

See more details on using hashes here.

Provenance

The following attestation bundles were made for eqnlint-0.2.4-py3-none-any.whl:

Publisher: publish.yml on tambotitree/eqnlint-project

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page