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.
Related Software
| R Linters | |
|---|---|
| lintr | Provides static code analysis for R |
| jarl | Fast linter for R |
| flir | Parse and rewrite R code |
Read our verdict in the software roundup.
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