https://pypi.org/project/scicode-lint/ Recent updates to the Python Package Index for scicode-lint en https://pypi.org/project/scicode-lint/0.3.1/ AI-powered linter for scientific ML code. Detects methodology bugs such as data leakage, incorrect cross-validation, numerical instability, and reproducibility issues that produce plausible but wrong results. 66 detection patterns across 5 categories. Runs via local or institutional vLLM server, no cloud APIs. Thu, 16 Apr 2026 17:49:28 GMT https://pypi.org/project/scicode-lint/0.3.0/ AI-powered linter for scientific ML code. Detects methodology bugs such as data leakage, incorrect cross-validation, numerical instability, and reproducibility issues that produce plausible but wrong results. 66 detection patterns across 5 categories. Runs via local or institutional vLLM server, no cloud APIs. Thu, 16 Apr 2026 17:44:03 GMT https://pypi.org/project/scicode-lint/0.2.3/ AI-powered linter for scientific ML code. Detects methodology bugs such as data leakage, incorrect cross-validation, numerical instability, and reproducibility issues that produce plausible but wrong results. 66 detection patterns across 5 categories. Runs via local or institutional vLLM server, no cloud APIs. Wed, 18 Mar 2026 14:14:43 GMT https://pypi.org/project/scicode-lint/0.2.2/ AI-powered linter for scientific ML code. Detects methodology bugs such as data leakage, incorrect cross-validation, numerical instability, and reproducibility issues that produce plausible but wrong results. 66 detection patterns across 5 categories. Runs via local or institutional vLLM server, no cloud APIs. Wed, 18 Mar 2026 03:19:46 GMT https://pypi.org/project/scicode-lint/0.2.1/ AI-powered linter for scientific ML code. Detects methodology bugs such as data leakage, incorrect cross-validation, numerical instability, and reproducibility issues that produce plausible but wrong results. 66 detection patterns across 5 categories. Runs via local or institutional vLLM server, no cloud APIs. Tue, 17 Mar 2026 03:06:44 GMT https://pypi.org/project/scicode-lint/0.2.0/ AI-powered linter for scientific ML code. Detects methodology bugs such as data leakage, incorrect cross-validation, numerical instability, and reproducibility issues that produce plausible but wrong results. 66 detection patterns across 5 categories. Runs via local or institutional vLLM server, no cloud APIs. Fri, 13 Mar 2026 16:02:47 GMT https://pypi.org/project/scicode-lint/0.0.1/ AI-powered linter for scientific and research Python code. Mon, 02 Mar 2026 20:40:12 GMT