GitHub
github.com › topics › code-review
code-review · GitHub Topics · GitHub
An extensible and friendly code review tool for projects and companies of all sizes. javascript python developer-tools code-review codereview
GitHub
github.com › FabriceSalvaire › CodeReview
GitHub - FabriceSalvaire/CodeReview: CodeReview is a Git GUI tool to perform code review (Diff Viewer) written in Python3 and Qt5. · GitHub
CodeReview is a Git GUI tool to perform code review (Diff Viewer) written in Python3 and Qt5. - FabriceSalvaire/CodeReview
Starred by 416 users
Forked by 92 users
Languages Python 83.0% | C 7.6% | QML 5.4% | C++ 2.9%
Best AI code review tools in your experience?
From an OSS angle, transparency is everything. CodeRabbit and Qodo Merge are fine if your team just wants quick integration, but once audits come into play, you’re better off checking out TabbyML, Refact.ai, or OpenDevin. Simple tools, but they’ll only get more useful as open-source models improve. They’re not as deep as the paid stuff yet, but the fact you can actually see how summaries are made is huge especially for mentoring. For my students, I mix Refact’s syntax checks with a small Llama model running locally to generate natural-language comments. Takes a bit of tweaking, but it keeps things private and explainable. More on reddit.com
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November 19, 2025What Python code analysis tools are you using?
Pylance on vscode. I just turned on strict mode and now everything Ive ever written is apparently wrong and bad and terrible and an error. More on reddit.com
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September 14, 20227 Best Python Code Review Tools Recommended by Developers
We use flake8, mypy, bandit, and coverage in our local environments and our pipelines. They work quite well for us and I have not seen any false positives from flake8 across any of our projects. Maybe just lucky? More on reddit.com
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February 24, 2021Which is best AI code review tool that you've come across recently?
The one I’ve stuck with is Qodo. It attaches to Git, reads related files and repo history for each PR, and posts a short summary plus a few focused comments instead of dozens of small nits. That has been more useful than tools that only look at the raw diff. More on reddit.com
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May 17, 2024Why should you use a code review tool for Python?
Developers love to automate tasks as much as possible, and code review is no different. Code review tools make it possible to review large-scale projects with dozens of developers. They allow you to test code without running it, and ensure you can be confident before merging the pull request.
snyk.io
snyk.io › blog › python-code-review-tools
Python Code Review Tools For Developers | Snyk
How is a Python code review done?
A Python code review starts with being clear about the requirements for the code. It then checks if the requirements are satisfied (ie: the code actually works), along with other considerations such as readability, security, and documentation. The overall process is manual but a plethora of tools exist to help development teams as they conduct code reviews.
snyk.io
snyk.io › blog › python-code-review-tools
Python Code Review Tools For Developers | Snyk
Videos
37:36
Python Code Review: Refactoring a Web Scraper, PEP 8 Style ...
Checkov: A Python based Static Code Analysis Tool for ...
Exploring Code Reviews in Python and Automating the ...
01:17:06
Live Code Review | Boto3 - YouTube
29:16
Mark Azer: Using Static Analysis to Elevate Your Python Code @ ...
28:30
"Six QA Tools that will make your Python code better" - Peter Aych ...
Snyk
snyk.io › blog › python-code-review-tools
Python Code Review Tools For Developers | Snyk
August 12, 2022 - Snyk Code is a static analysis ... vulnerabilities down the development pipeline. GitHub has a built-in code review tool that performs lightweight code reviews for every pull request....
GitHub
microsoft.github.io › code-with-engineering-playbook › code-reviews › recipes › python
Python Code Reviews - Engineering Fundamentals Playbook
repos: - repo: https://github.com/ambv/black rev: stable hooks: - id: black language_version: python3.6 - repo: https://github.com/pre-commit/pre-commit-hooks rev: v1.2.3 hooks: - id: flake8 · Each individual developer that wants to set up pre-commit hooks can then run ... At the next attempted commit any lint failures will block the commit. Note: Installing pre-commit hooks is voluntary and done by each developer individually. Thus, it's not a replacement for build validation on the server · In addition to the Code Review Checklist you should also look for these python specific code review items
Qodo
qodo.ai › blog › code reviews › top 7 python code review tools for developers
Top 7 Python Code Review Tools For Developers - Qodo
June 18, 2025 - Another tool that made it to my list after a recent review was Codacy. I used it while checking a project that builds AI-generated summaries of GitHub repositories. The setup was quick, and the dashboard made it easy to see code quality issues right away.
GitHub
github.com › topics › ai-code-review
ai-code-review · GitHub Topics · GitHub
3 weeks ago - Get codebase-aware feedback in ... ai-code-review ai-code-reviewer ... An AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issues—such as security vulnerabilities, bugs, and ...
GitHub
github.com › vintasoftware › python-linters-and-code-analysis
GitHub - vintasoftware/python-linters-and-code-analysis: Python Linters and Code Analysis tools curated list · GitHub
Python Linters and Code Analysis tools curated list - vintasoftware/python-linters-and-code-analysis
Starred by 534 users
Forked by 22 users
GitHub
github.com › reviewdog › reviewdog
GitHub - reviewdog/reviewdog: 🐶 Automated code review tool integrated with any code analysis tools regardless of programming language
[2] The reporter service itself doesn't support the code suggestion feature. reviewdog can also be controlled via the .reviewdog.yml configuration file instead of "-f" or "-efm" arguments. With .reviewdog.yml, you can run the same commands for both CI service and local environment including editor integration with ease. runner: <tool-name>: cmd: <command> # (required) errorformat: # (optional if you use `format`) - <list of errorformat> format: <format-name> # (optional if you use `errorformat`. e.g.
Starred by 9.3K users
Forked by 486 users
Languages Go 95.6% | Shell 3.1% | HTML 1.1% | Dockerfile 0.2%
GitHub
github.com › mgreiler › all-about-code-review
GitHub - mgreiler/all-about-code-review: This is a curated list of resources about code reviews: articles, tools, trainings... · GitHub
Discussion on UX of Goodle Critique and other code review tools · Code Review on YouTube for Python: Small Pyhton game, where the reviewer also uses tests to see how the code works.
Starred by 217 users
Forked by 29 users
Capital Numbers
capitalnumbers.com › home › python code review tools for developers: a detailed guide
Python Code Review Tools for Developers: A Detailed Guide
August 8, 2025 - GitHub includes other features that help with reviews, including history, diffs, and blame view, giving you different insights into the code’s changes. Also, you have options like discussing codes, resolving simple conflicts, merging the highest ...
GitHub
github.com › kodustech › awesome-code-review-tools
GitHub - kodustech/awesome-code-review-tools: A curated list of the best code review tools, platforms, and automation for modern development teams. · GitHub
Cursor Bugbot — AI-powered PR review that runs automatically to catch real bugs and security issues with a low false-positive rate. Traditional and AI-enhanced tools for enforcing code quality, style, and correctness. ESLint — The standard pluggable linter for JavaScript and TypeScript. Pylint — Source code analyzer for Python that checks for errors, coding standards, and code smells.
Author kodustech
GitHub
github.com › topics › code-review-automation
code-review-automation · GitHub Topics · GitHub
An AI-powered automated code review and refactoring tool built with LangChain. It scans Python, JavaScript, TypeScript, Java, C, and C++ for security vulnerabilities, refactors unsafe code, and creates a GitHub PR with improvements.
Bito
bito.ai › home › 8 best python code review tools 2025
8 Best Python Code Review Tools 2025 - Bito
May 26, 2025 - Security vulnerability check: Uses tools like OWASP Dependency-Check for detecting severe security flaws. Supports Git workflows: Works within GitHub, GitLab, and Bitbucket to assist with real-time PR reviews. IDE integration: Seamlessly integrated with VSCode and JetBrains for in-editor code reviews. Instant feedback in IDE: Provides immediate reviews while you code, reducing the need for back-and-forth in pull requests. Supports multiple languages: Works across Python...
DZone
dzone.com › testing, deployment, and maintenance › deployment › 7 best python code review tools recommended by developers
7 Best Python Code Review Tools Recommended by Developers
February 24, 2021 - Coverity is a static analysis tool that aims to find and fix defects in many popular general-purpose programming languages like Python, Javascript, Ruby, Java, and more. It aims to test and scan every line of the Code and has been adopted by many companies like Boeing, Lockheed Martin, and more. ... Provides a setup wizard to specify Python paths. Easily integrated with GitHub...
Kinsta®
kinsta.com › home › resource center › blog › web development tools › 12 best code review tools for developers
12 Best Code Review Tools for Developers (2026 Edition)
March 20, 2026 - Axolo is not what you expect when you read “code review tool”. You’re probably picturing a screen full of diffs. Not at all! Axolo is all about communication. Specifically, Axolo takes all of the usual back-and-forths on GitHub or GitLab and brings the discussion into Slack.
Graphite
graphite.com › guides › existing-code-review-tools-python
Existing code review tools for Python - Graphite
Selecting the right code review tool for Python involves evaluating various options based on your team's needs and workflow. Tools like Graphite, GitHub, and GitLab provide robust functionalities for managing code reviews, while static analysis tools like Pylint and Flake8 enhance code quality.
Sourcery
sourcery.ai
AI Code Reviews | Sourcery | Try for Free
No training on your code. Zero-retention options with trusted providers. Bring your own LLM endpoints. SOC 2 Certified. Get instant reviews on every change in GitHub or GitLab, or review in your IDE before you commit
GitHub
github.com › willmcgugan › codereviews
GitHub - willmcgugan/codereviews: Free code reviews for open source projects · GitHub
I won't need to run your code to do a review and reviews aren't intended to fix bugs. All reviews will be public and will be published in the repo in a markdown file. An exception would be for any security issues, where I would notify you first. Any Python project that is free and open source may request a review, but it must not be commercially backed i.e.
Starred by 117 users
Forked by 4 users
Augment Code
augmentcode.com › home › tools › 10 open source ai code review tools tested on a 450k-file monorepo [2026 rankings]
10 Open Source AI Code Review Tools Tested on a 450K-File Monorepo [2026 Rankings] | Augment Code
January 16, 2026 - The review quality isn't keeping up. SonarQube Community Edition remains the most mature open source option for code quality enforcement, with approximately 10,300 GitHub stars and proven enterprise adoption.
Reddit
reddit.com › r/askprogramming › best ai code review tools in your experience?
r/AskProgramming on Reddit: Best AI code review tools in your experience?
November 19, 2025 -
Hey all! I’ve been testing a few AI-assisted review tools for our Python + TypeScript repos, mostly to help our team catch small coding issues before senior devs step in. S
I’m curious what others here have found actually useful. I want something that I can reliably lean on to fix / resolve / give meaningful feedback on junior-level code-changes. Adding context to issues, finding small bugs, etc.
Ideally, it should handle comments, docstring suggestions, or highlight risky changes without false positives. Cloud-based or local, doesn’t matter for us though it should leave comments on github.
Would love to hear from you guys what you’re using and how it’s working…
Top answer 1 of 11
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From an OSS angle, transparency is everything. CodeRabbit and Qodo Merge are fine if your team just wants quick integration, but once audits come into play, you’re better off checking out TabbyML, Refact.ai, or OpenDevin. Simple tools, but they’ll only get more useful as open-source models improve. They’re not as deep as the paid stuff yet, but the fact you can actually see how summaries are made is huge especially for mentoring. For my students, I mix Refact’s syntax checks with a small Llama model running locally to generate natural-language comments. Takes a bit of tweaking, but it keeps things private and explainable.
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We tried a local setup that basically runs an AI linter before PRs get merged. It gives context on why a change might be risky or suggests better variable names. Not perfect, but it saved us a ton of time on obvious mistakes and helps juniors learn faster.