scicode-lint is an open-source, AI-powered linter for scientific machine learning code. It detects methodology bugs, data leakage, and reproducibility issues using local or institutional vLLM servers, supporting researchers and developers in producing reliable ML code.
scicode-lint sits in PulseGate's Code review & quality category. It helps researchers detect subtle bugs and reproducibility issues in scientific ML code. It is built as an open-source project for Scientific ML researchers and developers. scicode-lint is open source under the MIT license. scicode-lint is available on the command line, and it can be self-hosted.
Authentic Research Partners builds and maintains scicode-lint, and the product first shipped in 2026. Development happens publicly on GitHub with 35 stars and 6 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — scicode-lint occupies a relatively distinct niche. Key capabilities include AI code linting, methodology bug detection, and reproducibility checks.
Latest indexed changes and source events
Other apps tracked under the same category.
