Best Code Review Tools for Python

Increase software development and delivery speed using generative AI assistance with enterprise security and privacy protected. Gemini Code Assist generates code blocks and functions as you type. Code assistance is available for many popular IDEs such as Visual Studio Code and JetBrains IDEs including IntelliJ, PyCharm and GoLand. It also supports 20+ programming language, including JavaScript, Python and C++. You can chat with Gemini Code Assistant using a natural language interface to receive answers to your coding queries or guidance on best coding practices. Chat is available on all supported IDEs. Gemini Code Assist allows enterprises to customize the software by using their own codebases and knowledge bases. Gemini Code Assist allows for large-scale changes in entire codebases.

Codeium is the modern code superpower. It's a free AI-powered code acceleration toolkit. Codeium currently provides AI-generated autocomplete in more than 20 programming languages (including Python and JS, Java, TS, Java and Go) and integrates directly to the developer's IDE (VSCode, JetBrains or Jupyter notebooks. Colab, Vim / Neoovim, etc. Codeium generates multiline code suggestions in a matter of seconds. This will eliminate the need to search for APIs and documentation, write boilerplate and unit test scripts, and many other tedious or frustrating tasks. Codeium is a training platform that allows you to quickly develop on billions of lines. It also helps you stay in the flow and lets you become the best coder you can be.

SonarSource creates world-class products to ensure Code Quality and Security. SonarQube, our open-source and commercial code analysis tool - SonarQube -- supports 27 programming languages. This allows dev teams of all sizes to resolve coding issues in their existing workflows.

Sourcegraph shows you the repositories that you use, stored in any code host or search across the open-source universe. With smart filters and Code Intelligence, you can quickly find answers with regular, structural, or literal expression searches. Extensions allow you to connect all your tools, including test coverage, 1-click file in editor, custom highlight, and information from other services. To help engineers learn unfamiliar code faster, create living documentation using Markdown and live query code. Use collaborative, shareable notebooks to navigate through your codebase and resolve issues. You can embed HTML in notebooks wherever you can, just like your internal documentation. This will allow you to spend less time updating outdated docs. To learn more about the code and repository structure, search across all code hosts.

CodeScene's powerful features go beyond traditional code analysis. Visualize and evaluate all the factors that influence software delivery and quality, not just the code itself. Make informed, data-driven decisions based on CodeScene’s actionable insights and recommendations. CodeScene guides developers and technical leaders to: - Get a holistic overview and evolution of your software system in one single dashboard. - Identify, prioritize, and tackle technical debt based on return on investment. - Maintain a healthy codebase with powerful CodeHealth™ Metrics, spend less time on rework and more time on innovation. - Seamlessly integrate with Pull Requests and editors, get actionable code reviews and refactoring recommendations. - Set Improvement goals and quality gates for teams to work towards while monitoring the progress. - Support retrospectives by identifying areas for improvement. - Benchmark performance against personalized trends. - Understand the social side of the code, measure socio-technical factors like key personnel dependencies, knowledge sharing and inter-team coordination.

CodeSandbox aims to make it easier for you to express your ideas with code, and to validate them. It also removes the hassles of setting up development tooling and sharing your project. Join us to help build the future of web coding. Over 4M developers use the platform each month. This includes organizations like Shopify and Atlassian. Since its launch, creators have created over 35M apps. It's used in thousands of open-source projects like React, Vue and Babel. You can invite your friends, colleagues, or team to join you or simply view your creation by using a URL. Use any of 1M+ packages for building real, powerful applications quickly and efficiently. Import and run repos directly from GitHub or choose from hundreds of templates to start in seconds. Boxy, CodeSandbox's AI-powered coding assistant, is now available to all Pro subscriptions.

Codacy is an automated code review tool. It helps identify problems through static code analysis. This allows engineering teams to save time and tackle technical debt. Codacy seamlessly integrates with your existing workflows on Git provider as well as with Slack and JIRA or using Webhooks. Each commit and pull-request includes notifications about security issues, code coverage, duplicate code, and code complexity. Advanced code metrics provide insight into the health of a project as well as team performance and other metrics. The Codacy CLI allows you to run Codacy code analysis locally. This allows teams to see Codacy results without needing to check their Git provider, or the Codacy app. Codacy supports more than 30 programming languages and is available in free open source and enterprise versions (cloud or self-hosted). For more see https://www.codacy.com/

DeepSource allows you to automatically identify and fix bugs in your code during code reviews. This includes security flaws, anti-patterns and bug risks. It takes less that 5 minutes to create your Bitbucket or GitLab account. It works with Python, Go, Ruby and JavaScript.

A quick overview of the code quality for the entire project, the most problematic files, and recent commits. CodeFactor will track all new and resolved issues for each pull request and commit. CodeFactor will show you the most important issues first, based on file size, file change frequency, and issue code size. This allows you to focus your efforts on fixing what is most important. Track and create issues or comments from code files or project issue pages. CodeFactor can also update the status of Bitbucket or GitHub pull requests. CodeFactor lets you toggle inspection for any repository branch at will. CodeFactor integrates to Slack to send code quality notification for every commit in any branch or pull request. Go to the repository settings page to install. Straightforward pricing based upon private repository number. No hidden fees. Integration into your workflow is seamless.

Automate style feedback for all languages that you use and align your code reviews with your team. Just a few clicks and your repository is connected. Our reviews are completed in record time. You can use the default style guides, or modify each tool to suit your team's needs. Auto fixing allows you to correct style mistakes in your team so that you can give feedback. Stickler CI does not keep your code on our servers during a review. Your code is deleted from our servers after the review comments are posted. Each pull request will improve and standardize your code. Your coding standards should be applied consistently to code changes. This will ensure that your team is not disrupted. You can automatically apply style and quality checking tools to ensure that your code is consistent in style and quality. You can either use the defaults, or you can customize linters to meet your existing coding standards.

You can customize the code review rules sets to match your standards. You can focus on the important things by avoiding bugs that aren't important to you. Code reviews can be performed without worrying about security. Codegrip doesn't store any code during automated code reviews. Keep track of the progress of your project. You can receive pull request notifications and code quality reports in any Slack channel you choose. A dashboard view allows you to manage multiple projects from one place. With the help of simple-to-understand graphs and parameters, you can track the changes in code quality over time. OWASP is a consensus on the most important security risks for web and mobile apps. It provides guidance to developers and security professionals about the most common vulnerabilities found in web applications that are easy to exploit.

Ellipsis can review, write, and answer questions about your source codes. Ellipsis uses LLMs to provide thoughtful code reviews, summaries and easy-to accept suggestions. We'll consider your style guide while reviewing. Open an issue and assign it to Ellipsis. This will automate simple changes and bug fixes. You'll receive a pull request in a matter of minutes. Ellipsis can help you ship faster by addressing comments left in pull requests. We'll translate the comments and create tested, working code. Ellipsis does not store or train your source code. It will never commit your default branch and will only open new pull requests or add new commits when you explicitly ask it to.

Get code reviews on-demand from experts, vetted by AI. Every time you open a Pull Request, senior engineers will be added to your team. AI-assisted code review will help you deliver better, more secure software faster. PullRequest can adapt to the needs of any development team, whether it's 5 or 5,000. Our reviewers help your team find security vulnerabilities, hidden bugs, and fix any performance issues before they are released. All of this can be done using your existing tools. AI analysis enhances the expertise of human reviewers to identify high-risk security areas. Intelligent static analysis using open source tools combined with proprietary AI. Shown to reviewers for greater insights. Save your senior staff time. While other members of your group are busy building, you can make meaningful progress in resolving problems and improving code.

Metabob detects coding errors created by humans or AI, explains them, and fixes them. Metabob uses proprietary graph neural network to detect problems, and LLMs explain and resolve them. This combines the best of both worlds. GNN detects problematic code and classifies it with contextual understanding. Metabob's backend stores problematic code and context enriched with context. The backend stores the information and passes it to an integrated LLM. The LLM provides context-sensitive explanations and solutions to problems. Metabob's AI has been trained by millions of bug fixes made by experienced developers. Metabob's ability to understand context and code logic allows it to detect complex issues that span multiple codebases, and automatically generate solutions. Metabob's AI code reviews detect hundreds of logical issues, ranging from race conditions to unhandled edges cases. These problems are not detectable by static analysis tools.

With syntax highlighting and colored distinctions, you can read both old and new files. To make the correct changes, discuss specific sections with others. Gerrit supports Git-enabled SSH/HTTPS servers that are compatible with all Git clients. Hosting multiple Git repositories together simplifies management. Schedule git gc to run on all managed repositories. Replicate to geographical mirrors for latency reduction. Back up servers for hot spare redundancy. Server-side plugins can be used to customize Gerrit Code Review. The project listing contains the source code for additional plugins.

You can quickly identify cross-code dependencies, and navigate between files and directories. This tool will help you gain a better understanding of the codebase. It will also guide you in planning, reviewing, and onboarding. Software architecture diagrams that automatically update and sync with the codebase. You can use these features to understand how files and folders connect, and how a change fits into the larger architecture. CodeSee Maps are automatically generated when a code change is merged. This means that you don't have to manually refresh your Map. You can quickly see the most active areas in the codebase. You can also get information on each file and folder, including their age and number of lines of code. Tour Alerts can help you keep your Tours up-to-date by allowing you to create visual walkthroughs of your code using Tours.

Maintain high-quality code while adhering to agile development cycles. Jtest's extensive Java testing tools will ensure that you code flawlessly at every stage of Java software development. Streamline Compliance with Security Standards. Ensure that your Java code conforms to industry security standards. Automated generation of compliance verification documentation Get Quality Software Out Faster Java testing tools can be integrated to detect defects faster and more efficiently. Reduce time and costs by avoiding costly and complicated problems later. Increase your return on unit testing. Create a set of JUnit test suites that are easy to maintain and optimize for code coverage. Smart test execution allows you to get faster feedback from CI as well as within your IDE. Parasoft Jtest integrates seamlessly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback about your testing and compliance progress.