scilintr – collection of scientific linting tools

scilintr is a collection of scientific linting tools for R and Python analysis projects, together with a companion LaTeX report linter.

It’s designed to flag code and write-up patterns that can hide scientific assumptions, introduce analysis drift, or make results harder to audit, with particular attention to agent-assisted coding workflows and reproducible research.

This is free and open source software.

Key Features

• Lints R and Python analysis code for patterns that may indicate hidden scientific commitments.
• Checks LaTeX scientific reports for drift between written claims and registered analysis outputs.
• Supports structured ANALYSIS_OK waivers to document accepted findings.
• Provides command-line tools for linting files, directories, and report sources.
• Includes rule sets covering issues such as silent error handling, label leakage, magic thresholds, unchecked merges, and numeric drift.

Website: github.com/arjunrajlaboratory/scilintr
Support:
Developer: Arjun Raj Laboratory
License: MIT License

scilintr is written in Python and R. Learn Python with our recommended free books and free tutorials. Learn R with our recommended free books and free tutorials.

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