Pyright
PyLint
flake8
PyFlakes
PEP8
PyChecker
PyCharm
PyCodeQu.ai
SonarQube
Codacy
CodeClimate
Checkmarx
Coverity Scan
Snyk
ReSharper
PyCharm
SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code. SonarQube integrates into the developers' CI/CD pipeline and DevOps platform to detect and help fix issues in the code while performing continuous inspection of projects.
Supported by the Sonar Clean as You Code methodology, only code that meets the defined quality standard can be released to production. SonarQube analyzes the most popular programming languages, frameworks, and infrastructure technologies and supports over 5,000 Clean Code rules.
Trusted by 7 million developers and 400,000 organizations globally to clean more than half a trillion lines of code, Sonar has become integral to delivering better software.
Explore our pricing and request an evaluation: https://www.sonarsource.com/plans-and-pricing/
Pyright SonarQubeBased on our record, Pyright seems to be a lot more popular than SonarQube. While we know about 13 links to Pyright, we've tracked only 1 mention of SonarQube. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Static Type Checking with PyRight: Improve code quality and reduce bugs with PyRight, a static type checking feature not available in R. This proactive error detection ensures your applications are reliable, before you even start them. - Source: dev.to / 4 days ago
Pyright is a fast type checker meant for large Python source bases. It can run in a “watch” mode and performs fast incremental updates when files are modified. - Source: dev.to / about 2 months ago
You can use pyright instead[0]. It is the FOSS version of pyright, but having some features missing. [0]: https://github.com/microsoft/pyright. - Source: Hacker News / 8 months ago
This is not the case! After reading the LSP help pages (:help lsp), I installed and configured two language servers: Typescript Language Server for JavaScript and Pyright for Python. Neovim has fantastic defaults, so things like tags, omnicompletion, and semantic highlighting (New in 0.9) are enabled and configured by default as long as your language server supports them. You can see my configuration below. Source: about 1 year ago
I've had lots of success using pyright [1] for Python projects, it has sensible defaults and can be configured with a pyproject.toml file so everyone's using the same settings. I use the Pylance VSCode extension to catch errors earlier, but I also put it in pre-commit and as a CI check, so all contributors are committing the same quality of typed code. With more complex types, I've found it isn't necessary to do... - Source: Hacker News / about 1 year ago
Even for Java, C# and JS we do enforce such kind of rules, e.g. https://sonarqube.org. - Source: Hacker News / over 1 year ago
PyLint - Pylint is a Python source code analyzer which looks for programming errors.
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
flake8 - A wrapper around Python tools to check the style and quality of Python code.
CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.
PyFlakes - A simple program which checks Python source files for errors.
Checkmarx - The industry’s most comprehensive AppSec platform, Checkmarx One is fast, accurate, and accelerates your business.