Search Results for "python projects"

Pylint is a static code analyzer for Python 2 or 3. The latest version supports Python 3.7.2 and above. Pylint analyses your code without actually running it. It checks for errors, enforces a coding standard, looks for code smells, and can make suggestions about how the code could be refactored. Projects that you might want to use alongside pylint include flake8 (faster and simpler checks with very few false positives), mypy, pyright or pyre (typing checks), bandit (security-oriented checks...

An extremely fast Python linter, written in Rust. Ruff aims to be orders of magnitude faster than alternative tools while integrating more functionality behind a single, common interface. Ruff can be used to replace Flake8 (plus dozens of plugins), isort, pydocstyle, yesqa, eradicate, pyupgrade, and autoflake, all while executing tens or hundreds of times faster than any individual tool. Ruff is extremely actively developed and used in major open-source projects. Ruff can be configured through...

A GitHub app to automatically review Python code style over Pull Requests. PEP 8 Speaks is a GitHub integration which detects Python code style issues on new Pull Requests. You can install it on your Python projects and configure with your own code style. Check out the project on GitHub. Maintainers of Python projects have a difficult time reviewing Pull Requests by new contributors who may not be aware of the code style. This project makes reviewing Pull Requests a little bit easier. Style...

... TCA Server and Web, and complete the creation of related projects on the platform. After the project is created, you can deploy and configure the Tencent Cloud code analysis client to perform code analysis locally or as an online resident node. Before starting your first code analysis project, you need to deploy the Tencent Cloud Code Analysis client locally. After completing the project configuration on the client, you can start your first code analysis project and view your analysis results.

Anduin aims to replace perl, python, tcl, and others as the workhorse language in industrial programming projects. It places emphasis on enabling the interpreter to perform compile-time static code analysis as a means of closing the development loop faster and letting fewer bugs get to the user.