codebeat
Codacy
CodeClimate
Refactor.io
SonarQube
CodeStream
PullRequest.com
Coverity Scan
Pyright
PyLint
flake8
PyFlakes
PEP8
PyChecker
SonarQube
PyCodeQu.ai
codebeat PyrightBased on our record, Pyright should be more popular than codebeat. It has been mentiond 13 times since March 2021. 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.
CodeBeat — Automated Code Review Platform available for many languages. Free forever for public repositories with Slack & E-mail integration. - Source: dev.to / almost 3 years ago
CodeBeat is a popular code review tool that provides automated code review and feedback. It displays a code grade on a ‘4.0 scale’ system where the code gets reviewed on a scale of 1 to 4. CodeBeat supports various languages like Python, Ruby, Java, Javascript, Golang, Swift, and more. - Source: dev.to / over 3 years ago
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 / about 2 months 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 / 3 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 / 10 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 / over 1 year ago
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
PyLint - Pylint is a Python source code analyzer which looks for programming errors.
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.
flake8 - A wrapper around Python tools to check the style and quality of Python code.
Refactor.io - Share your code instantly for refactoring and code review
PyFlakes - A simple program which checks Python source files for errors.