Best Code Review Tools for GitHub - Page 2

Customize and Scale Your Peer Review Process for Code and Documents With Collaborator. Collaborator is the premier peer code & document review tool for development teams that take software quality seriously. Comprehensive Review Capabilities – Review source code, design docs, requirements, user stories, test plans, and documentation in one tool. Proof of Review – Ensure proof with electronic signatures & detailed reports to meet regulatory compliance standards. Support for 11 SCMs, including Git, SVN, TFS, Perforce, CVS, ClearCase, RTC, & more. Integrations with GitHub, GitLab, Bitbucket, Jira, Eclipse, Visual Studio, & more. Real-Time Updates. Threaded chat shows conversations as well as highlights changes & defects for visibility during each code review. Each team and project has unique requirements. Why would the same type of review work for everything? With custom review templates and checklists in Collaborator, it is easy to build peer review frameworks.

Get a glance at code quality for the whole project, recent commits, and the most problematic files. CodeFactor will track new and fixed issues for every commit and pull request. CodeFactor will try to show the most critical issues first based on issue code size, file change frequency, and file size so you can start fixing only what's important. Create and track issues or comments directly from code files or project issues pages. CodeFactor will update the status for GitHub or Bitbucket pull requests as well. CodeFactor allows you to toggle inspection for any repository branch on the fly. CodeFactor integrates with Slack to send code quality notifications for every commit in a branch or pull request. To install, go to the repository settings page. Straightforward pricing based on private repository number. Plain and simple with no hidden fees. Seamless integration into your workflow.

Ellipsis is capable of reviewing, writing, and answering questions about your source code. Ellipsis uses LLM's to leave thoughtful code reviews, summaries, and easy-to-accept suggestions. We'll even consider your style guide when reviewing. Automate bug fixes and simple changes by opening an issue and assigning it to Ellipsis. Ship faster by having Ellipsis address comments left on pull requests. We'll interpret the comments and write tested, working code. Ellipsis doesn't store or train on your source code. It will never commit to your default branch, and will only add new commits or open new pull requests when you explicitly request it. Create multi-file code changes from natural language requirements, such as bug reports or feature requests. Answer questions about a codebase during onboarding, development, and bug triaging.

Codeball is a code review AI that scores pull requests on a grade from 0 (needs careful review) to 1. Use Codeball to add labels to help you focus, auto-approve PRs, and more. The Codeball action is easy to use (sane defaults) and is highly customizable to fit your workflow when needed. Label PRs when you should review them with caution. Stay sharp, don't let the bugs pass through. Identifies and approves or labels safe PRs. Save time by fast-tracking PRs that are easy to review. Fully customizable and programmable with GitHub Actions. Codeball Actions are built on multiple smaller building blocks, that are heavily configurable through GitHub Actions. Codeball uses a deep learning model that has been trained on over 1 million Pull Requests. For each contribution, it considers hundreds of inputs. Codeball is optimized for precision, which means it only approves contributions that it's really confident in.

Baz delivers the context and automation to review, track, and approve code changes with confidence. Baz transforms your code review and merging process by giving instant application insights and suggestions, helping you focus on building and shipping strong software. Baz organizes your pull request into Topics, so you can breeze through reviews with a clear structure. Baz uncovers breaking changes across APIs, endpoints, parameters, and more, analyzing how every piece fits together. Developers can review, comment, and suggest wherever they want. We'll make sure it's fully visible both on GitHub and Baz. The only way to predict the true impact of a code change is through structured impact analysis. Baz integrates AI and your developer tools to analyze your codebase, map dependencies, and provide actionable reviews that ensure your code’s stability. Plan your proposed changes and invite your team to review them. Easily assign relevant reviewers based on past contributions.

Panto is an AI-powered code review agent designed to enhance code quality and security by integrating seamlessly with development workflows. Its proprietary AI operating system aligns code with business context from tools like Jira and Confluence, enabling efficient and context-aware code reviews. It supports over 30 programming languages and conducts more than 30,000 security checks, ensuring comprehensive analysis of codebases. Panto AI's "Wall of Defense" operates continuously to expose vulnerabilities and suggest fixes, preventing flawed code from reaching production. With features like zero code retention, CERT-IN compliance certification, and on-premise compatibility, it prioritizes data security and compliance. Developers benefit from high signal-to-noise ratio reviews, reducing cognitive overload and allowing focus on critical logic and design issues.

mrge helps modern software teams ship higher-quality code, 4x faster. Get immediate feedback on every PR with AI that learns from your codebase. mrge's UI is designed to optimize how humans review code. No more merge bottlenecks, use stacked PRs to code on top of open branches. Teams that adopt mrge ship more code with smaller PRs and faster review cycles. AI-sorted diffs and review changes in the most logical order. Blitz through your pull requests with an organized inbox. Your code stays yours, always; we don’t store or mine it for data. We're currently in the process of obtaining our SOC 2 certification. mrge provides AI reviews code in real time, then wipes everything clean. Fly through PRs with keyboard shortcuts for everything. mrge offers smart, actionable alerts so you never miss a thing.

We build machine learning models that find bugs in code. We can be used proactively as part of the development process by both humans and AI agents to eliminate problematic code before it's submitted for review. We can also do checks at time of code review through our GitHub agent that adds comments to PRs (Pull Requests - essentially just submissions of code), to ensure nothing slips through. We allow developers to enforce their own taste on the code that either the AI or their teams contribute to the codebase by providing Recurse Rules. These are written in markdown and are descriptions of bad patterns that you don't want present in your codebase (e.g. the concept of DRY - do not repeat yourself).

Propel is an AI-powered code review platform that acts as your team's AI Tech Lead — giving instant PR feedback, turning comments into suggested fixes, and helping you merge faster with higher quality. Propel learns from your team on every review to improve team velocity, code quality, and developer experience over time. Additionally, Propel has Security Scanning functionality that identifies security vulnerabilities and compliance issues before they reach production. Within Propel, teams are also able to build and maintain a living knowledge base of your team's coding patterns and best practices. Furthermore, Propel provides automated weekly summaries of all GitHub activity sent directly to Slack. Perfect for exec updates, team accountability, and keeping everyone informed.

Get a deeper understanding of your software with Embold's profound analysis and intuitive visuals. Visually comprehend the size and quality of every component and fully understand the state of your software at a glance. Understand issues on a component level with rich annotations and see where they are located in your code. View and navigate through all ingoing and outgoing dependencies of your software components and learn how they influence each other. Quickly understand how to refactor and split complex components by using our innovative partitioning algorithms. The EMBOLD SCORE, calculated from four dimensions, tells you which components have the biggest impact on the overall quality and need to be solved first. Analyze your code’s structural design with the help of our unique set of anti-patterns on a class, functional, and method level. Embold utilizes several metrics ranging from cyclomatic complexity to coupling between objects to measure the quality of software systems.

It brings communities together — regardless of their choice of tools — by making it easy to share code, bug reports, translations and ideas across projects. With Launchpad, you can share bug reports, statuses, patches and comments across project boundaries. You can even share bug data with other trackers, such as Bugzilla and Trac. There's also everything else you need in a bug tracker: web, email and API interfaces, links between bugs and fixes, team-based delegation and more. When they're ready, they can upload their branch to Launchpad and propose it for merging back into your trunk. Code review — by web and email — gives you a public forum to discuss and approve or reject the merge. Launchpad makes translation easy for everyone. Translators get a simple web interface, with automatic suggestions from a library of more than 16 million strings.

Quickly identify cross-code dependencies and navigate between files and folders. With insights to improve your understanding of the codebase and guide onboarding, planning, and reviews. Auto-generated, self-updating software architecture diagrams that sync to the codebase as your code evolves. With features to help you understand how files and folders are connected, see how a change fits into the larger architecture, and more. CodeSee Maps are automatically generated and updated every time a code change is merged, so you never have to worry about manually refreshing your Map. Using the Maps Insights panel, you can quickly visualize the most active areas of the codebase and get details on individual files and folders, including their age and how many lines of code they represent. Create visual walkthroughs of your code, using Tours to communicate ideal code paths, user flows, and more—and Tour Alerts will help you to ensure your Tours are always up to date.

Our SaaS platform sits alongside your existing CI/CD pipeline to create preview environments and run end-to-end tests. Once a developer pushes code, we will create a new copy of your stack in seconds by reusing snapshots from previous builds. In one copy of your stack, you can run end-to-end tests. In another you might build and push Docker images, and in yet another, you'd create ephemeral review environments. Once a change is reviewed, it can be immediately deployed to users using your existing deployment pipeline. After you've configured your stack once within webapp.io, you can make 10 copies instantly and run all of your end-to-end and acceptance tests in parallel.

Empower engineering teams to save time and focus on what they do best, which is building products. Create your own patterns, and describe what you will look like while reviewing, Trag will do it before you jump in. Create rules for your use cases for your team, as many as you want, as thorough as you want. Monitor the progress, all the failing rules can be recovered by our AI. We never commit directly, you will get PR with the fix. Connect multiple repositories, multiple repositories at your hand. Invite and collaborate with your teammates. Trag will automatically review PRs with written patterns. Monitor pull request analytics and make faster, better decisions. Write your own patterns using natural language. Trag will automatically match rules with the PR changes and will automatically fix them. Every single piece of data is encrypted and secure, we never commit directly, only through PRs, and we don't use your code for any development purposes.

You've found the right code review tool. Tracks where par­tic­i­pants stand on each dis­cus­sion, en­sur­ing it won't dis­ap­pear un­til re­solved. Fully cus­tomiz­able logic de­ter­mines when a re­view is com­plete. Clearly shows net deltas since last time you looked, even if com­mits got re­based or amended. Batches com­ments and cor­rectly threads email re­sponses. Works only with GitHub and GitHub En­ter­prise, mak­ing for a seam­less in­te­gra­tion. Min­i­mal ad­min busy­work, no ex­tra fluff — just awe­some code re­views. In­stantly diff any two re­vi­sions of a file, in uni­fied or side-by-side style. Hide mi­nor changes: white­space, merge, and re­base deltas. Cus­tomize mar­gin, fonts, col­ors, key­board short­cuts, etc. Jump from a com­ment straight to the right spot in your fa­vorite ed­i­tor. Line com­ments map across file re­vi­sions and stay in place un­til re­solved, not just un­til changes are pushed. Mod­ern, clean UI with a touch of whimsy.

Meet Agile development cycles while maintaining high-quality code. Use Jtest’s comprehensive set of Java testing tools to ensure defect-free coding through every stage of software development in the Java environment. Streamline Compliance With Security Standards. Ensure your Java code complies with industry security standards. Have compliance verification documentation automatically generated. Release Quality Software, Faster. Integrate Java testing tools to find defects faster and earlier. Save time and money by mitigating complicated and expensive problems down the line. Increase Your Return From Unit Testing. Achieve code coverage targets by creating a maintainable and optimized suite of JUnit tests. Get faster feedback from CI and within your IDE using smart test execution. Parasoft Jtest integrates tightly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback on your testing and compliance progress.

CodeSonar employs a unified dataflow and symbolic execution analysis that examines the computation of the complete application. By not relying on pattern matching or similar approximations, CodeSonar's static analysis engine is extraordinarily deep, finding 3-5 times more defects on average than other static analysis tools. Unlike many software development tools, such as testing tools, compilers, configuration management, etc., SAST tools can be integrated into a team's development process at any time with ease. SAST technologies like CodeSonar simply attach to your existing build environments to add analysis information to your verification process. Like a compiler, CodeSonar does a build of your code using your existing build environment, but instead of creating object code, CodeSonar creates an abstract model of your entire program. From the derived model, CodeSonar’s symbolic execution engine explores program paths, reasoning about program variables and how they relate.

Veracode offers a holistic, scalable way to manage security risk across your entire application portfolio. We are the only solution that can provide visibility into application status across all testing types, including SAST, DAST, SCA, and manual penetration testing, in one centralized view.