Nblint
Nblint is a tool that checks Jupyter notebooks for coding style and potential errors.
Nblint is a tool designed to help developers write cleaner and more consistent code within Jupyter notebooks.
It works by automatically scanning your notebook files and flagging any style violations or common mistakes. For example, it might warn you if you have unused imports or if your code doesn't follow standard Python formatting conventions. This helps ensure your notebooks are readable and maintainable, especially when working in a team.
Nblint is a linter specifically for Jupyter notebooks, enforcing code style and identifying potential issues. It analyzes notebook cells, checking for adherence to style guides (like PEP 8) and common programming errors. This automates parts of the code review process and improves the overall quality and consistency of notebook development.
Google Gemini is actively using nblint to improve its API documentation and developer workflows. Recent updates show nblint being used to fix issues with identifying closing sections, reporting invalid model options, and integrating QA tools into the Gemini API cookbook. This suggests a focus on enhancing the quality and usability of their code examples and documentation for developers.
- Gemini API Cookbook: fix(nblint): accept Further reading and Learning more as closing sections (#1414)Google · Gemini API Cookbook ·
- Gemini API Cookbook: docs(quickstarts): add Next steps sections to four REST quickstarts (#1415)Google · Gemini API Cookbook ·
- Gemini API Cookbook: fix(nblint): report invalid model-selector options without crashing (#1405)Google · Gemini API Cookbook ·
- Gemini API Cookbook: feat: migrate QA tools (nblint, nbfmt, link checker) into repo and remove false positives (#1321)Google · Gemini API Cookbook ·
- Google Gemini
- Google Gemini uses nblint as a linter for its Jupyter notebooks, specifically within the Gemini API Cookbook, to enforce coding standards, identify errors, and improve the overall quality of its documentation and developer resources.
Nblint is a community-developed tool for linting Jupyter notebooks. Its origins are in the open-source community focused on improving Python development practices. Source ↗
You can try nblint by installing it via pip and running it on a Jupyter notebook file. For instance, after installing with `pip install nblint`, you could run `nblint your_notebook.ipynb` in your terminal to see any reported issues.
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Questions people ask
- What kind of errors does nblint find?
- Nblint checks for style guide violations, like incorrect indentation or line length, and potential programming errors such as unused imports or undefined variables.
- Is nblint only for Python notebooks?
- While primarily used for Python notebooks, the principles of linting apply to code in any language. Nblint is specifically built for the Jupyter notebook environment.
First seen on Subvolts Aug 13, 2026. Updated Oct 16, 2026. Written by an AI model from the items above and reviewed against them weekly; report an error.