PullRequest Alternatives

Codacy is an automated code review tool that helps identify issues through static code analysis, allowing engineering teams to save time in code reviews and tackle technical debt. Codacy integrates seamlessly into existing workflows on your Git provider, and also with Slack, JIRA, or using Webhooks. Users receive notifications on security issues, code coverage, code duplication, and code complexity in every commit and pull request along with advanced code metrics on the health of a project and team performance. The Codacy CLI enables running Codacy code analysis locally, so teams can see Codacy results without having to check their Git provider or the Codacy app. Codacy supports more than 30 coding languages and is available in free open-source, and enterprise versions (cloud and self-hosted). For more see https://www.codacy.com/

SonarSource builds world-class products for Code Quality and Security. Our open-source and commercial code analyzer - SonarQube - supports 27 programming languages, empowering dev teams of all sizes to solve coding issues within their existing workflows. We embrace progress - whether it's multi-language applications, teams composed of different backgrounds or a workflow that's a mix of modern and legacy, SonarQube has you covered. SonarQube fits with your existing tools and proactively raises a hand when the quality or security of your codebase is at risk. SonarQube can analyze branches of your repo, and notify you directly in your Pull Requests! Our mission is to empower developers first and grow an open community around code quality and code security. Jenkins, Azure DevOps server and many others. Thousands of automated Static Code Analysis rules, protecting your app on multiple fronts, and guiding your team.

CodeScene is a code analysis, visualization, and reporting tool. Cross reference contextual factors such as code quality, team dynamics, and delivery output to get actionable insights to effectively reduce technical debt and deliver better code quality. We enable software development teams to make confident, data-driven decisions that fuel performance and developer productivity. Supporting 28+ programming languages, CodeScene also offers an automated integration with GitHub, BitBucket, Azure DevOps or GitLab pull requests to incorporate the analysis results into existing delivery workflows. Automate your code reviews, get early warnings and recommendations about complex code before merging it to the main branch and set quality gates to trigger in case your code health declines.

DeepSource helps you automatically find and fix issues in your code during code reviews, such as bug risks, anti-patterns, performance issues, and security flaws. It takes less than 5 minutes to set up with your Bitbucket, GitHub, or GitLab account. It works for Python, Go, Ruby, and JavaScript. DeepSource covers all major programming languages, Infrastructure-as-Code, secrets detection, code coverage, and more. You won't need any other tool to protect your code. Start building with the most sophisticated static analysis platform for your workflow and prevent bugs before they end up in production. Largest collection of static analysis rules in the industry. Your team's central hub to track and take action on code health. Put code formatting on autopilot. Never let your CI break on style violations. Automatically generates and applies fixes for issues in a couple of clicks.

Visual Expert is a static code analyzer for Oracle PL/SQL, SQL Server T-SQL, and PowerBuilder. Identify code dependencies to modify your code without breaking your application. Scan your code to improve the security, performance, and quality. Perform Impact analysis to Identify breaking changes. Automatically scan your code to detect and fix security vulnerabilities, bugs and maintenance Issues. Implement continuous code inspection Understand the inner workings of your code with call graphs, code diagrams, CRUD Matrix and Object Dependency Matrix (ODM). Automatically generate an HTML Source Code documentation. Explore your code exploration with hyperlinks Compare applications, databases or pieces of code. Improve maintainability. Clean up code. Comply with dev standards. Analyze and Improve DB code performance: Find slow objects and SQL queries, Optimize a slow object, a Chain of calls a slow SQL, Get a query Execution Plan. And much more.

Get away from essay writing, Squire writes pull request descriptions for you. Keep your team in sync with a clear description and changelog. With an agentic workflow, Squire has a team reviewing your PR with the full context of your codebase. Able to catch many issues like systemic breaking changes, security concerns, and even small spelling mistakes. We improve code quality and get your PR into production. Squire is a context-aware agent who works with you to write pull request descriptions, review PRs, and learn how you like your code reviewed. Squire learns how your team reviews code and fits your style with explicit configuration and learning from your team's interactions. Map and synchronize ownership and responsibility across your entire engineering stack. Maintain compliance by applying and maintaining rules on your engineering components.

Software projects tend to be complex and there is the law of entropy making it more complex all the time. The developers easily get lost in the dependency network and tend to create designs that does not stand time well. Softagram provides automatically illustrations on how the dependencies are changing. Automated integration works so that pull requsts (in GitHub, Bitbucket, Azure DevOps), merge requests (in GitLab) and patch sets (in Gerrit) are decorated with a dependency analysis report that pops up as a comment in the tool you already use. The analysis also covers other aspects such as open source licenses and quality. It can be tailored for your needs. Software audits can also be efficiently performed by using Softagram analysis together with Softagram Desktop app designed for advanced software understanding and auditing usage.

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.

Maximize your throughput and only release clean code SonarCloud automatically analyzes branches and decorates pull requests. Catch tricky bugs to prevent undefined behavior from impacting end-users. Fix vulnerabilities that compromise your app, and learn AppSec along the way with Security Hotspots. With just a few clicks you're up and running right where your code lives. Immediate access to the latest features and enhancements. Project dashboards keep teams and stakeholders informed on code quality and releasability. Display project badges and show your communities you're all about awesome. Code Quality and Code Security is a concern for your entire stack, from front-end to back-end. That’s why we cover 24 languages including Python, Java, C++, and many others. Transparency makes sense and that's why the trend is growing. Come join the fun, it's entirely free for open-source projects!

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.

Find critical performance, reliability, and security bugs when they’re easiest to fix, during code review. Sonatype Lift is a cloud-native, collaborative, code analysis platform built for developers. It analyzes each developer pull request to find and fix security, performance, reliability, and style issues, then reports them as comments in code review, where they are 70x more likely to get fixed. Elevate your development with the first deep code analysis tool focused on code quality. Sonatype Lift participates in the development process by analyzing, reporting, and providing feedback on bugs the same way your teammates do, in peer code review. Made for the development environments your team already uses: GitHub, GitLab, and Bitbucket. The Lift-bot provides you with instant bug and vulnerability reports on every pull request. Go beyond traditional linting and into deeper interprocedural code analysis with one tool.

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.

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.

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.

Align your team's code reviews with automatic style feedback, for all the languages you use, all in one place. Connecting your repository is a couple of clicks away and our reviews finish in record time. Use the default style guides or customize each tool to fit your team's tastes. Use auto fixing to correct your team's style errors so you can focus on feedback. Stickler CI only keeps your code on our servers for the duration of a review. After the comments for a review are posted your code is removed from our servers. Incrementally improve and standardize the quality of your code in each pull request. Ensure your coding standards are applied consistently as code changes without having to disrupt your team. Make sure your code quality and style are standardized by automatically applying style and quality checking tools. Either use the defaults or customize linters to fit your existing coding standards.

Simplify code reviews with artificial intelligence. Increase productivity and decrease cost. Receive suggestions and potential fixes for errors and warnings. Codara’s CLI tool fits smoothly into your existing development environment. Set up in minutes, review in seconds, harness the power of AI to detect potential issues, suggest optimizations, and ensure your code is clean and efficient. Get instant, actionable feedback as you code. Codara’s AI reviews your work in real-time, helping you catch errors before they escalate. Whether it’s style, complexity, or performance, Codara adapts to your needs. Your code’s privacy is paramount. Codara ensures your data remains confidential and secure at all times. Built for projects of all sizes, Codara scales with your needs, ensuring consistent performance.

Velocity provides in-depth, contextual analytics that equip engineering leaders to support stuck team members, address team roadblocks, and streamline engineering processes. Actionable metrics for engineering leaders. Velocity turns data from commits and pull requests into the insights you need to make lasting improvements to your team’s productivity. Quality: Automated code review for test coverage, maintainability and more so that you can save time and merge with confidence. Receive automated code review comments on your pull requests. Our 10-point technical debt assessment provides real-time feedback, so you can save time and focus on what matters in your code review discussions. Get test coverage right, every time. See coverage line by line within diffs. Never merge code without sufficient tests again. At a glance, identify frequently changed files that have inadequate coverage and maintainability issues. Track your progress against measurable goals, day-by-day.

Snappy Tick Source Edition (SAST) is a source code review tool, it helps to identify the Vulnerability in Source code. We provide - Static Code Analysis tools and Source Code Review tools. Consider an In-line auditing approaches will identify the largest amount of most significant Security issues in your application and it will verify that the proper security controls exist. Snappy Tick Standard Edition (DAST) is Dynamic application security tool, it helps to perform black box and grey box testing. Analyze the requests and responses and find potential vulnerabilities inside an application by trying to access them in variety of ways, while the applications are running. Built with amazing features developed specifically for SnappyTick. Capable of scanning multiple languages. Best reporting that highlights the precise source files, line numbers, and even subsections of lines that are affected.

Privacy-focused, contextual pull request reviews with line-by-line code suggestions and interactive chat that gets smarter over time. The diff in the pull request is transformed into a clear summary, helping you understand the intent of the changes. Creates automated release notes, convenient for inclusion in the release documentation. A detailed, line-by-line analysis of the code changes provides precise and actionable suggestions ready to be committed. Ask questions to the bot within your code lines, provide more context, and have it write the code. The more you chat with the bot, the smarter it will become. Shorten cycle time with faster review feedback and high-quality code change suggestions. Your data stays confidential and solely fine-tunes your reviews. The system learns from your interactions, refining the reviews to align with your preferences.

Customize the code review rule sets to align with the standards you want to follow. Automatically avoid bugs that are not important to you so that you can concentrate on what matters. Perform code reviews without worrying about the security of your code. Codegrip does not store any of your code while performing automated code reviews. Always stay updated about the progress of your project. Get code quality reports and pull request notifications automatically in a Slack channel of your choice. Manage multiple projects with a dashboard view that provides all information in one place. Track the improvement in code quality over time with the help of easy-to-understand parameters and graphs. OWASP represents a broad consensus about the most critical security risks to web and mobile applications. It also guides developers and security professionals on the most critical vulnerabilities that are commonly found in web applications, which are also easy to exploit.

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.

The Fastest Code Analysis, Hands Down. 40X faster scan times so developers never have to wait for results after submitting pull requests. The Most Accurate Results. Qwiet AI has the highest OWASP Benchmark score, which is nearly triple the commercial average and more than double the 2nd highest score. Developer-Centric Security Workflows. 96% of developers report that disconnected security and development workflows inhibit their productivity. Implementing developer-centric AppSec workflows decreases mean-time-to-remediation (MTTR), typically by 5X - enhancing both security and developer productivity. Automatically Find Business Logic Flaws in Dev. Identify vulnerabilities that are unique to your code base before they reach production. Achieve Compliance. Demonstrate and maintain compliance with security and privacy regulations such as SOC 2, PCI-DSS, GDPR, and CCPA.

Ship high quality code. Review code, discuss changes, share knowledge, and identify defects across SVN, Git, Mercurial, CVS, and Perforce. Create formal, workflow-based, or quick code reviews and assign reviewers from across your team. Turn any code review into a threaded discussion and comment on specific source lines, files, or an entire changeset. Take action on what's important with unified views into your code activity for commits, reviews, and comments. Improve code quality with data on which parts of your codebase have not been sufficiently reviewed. Get a quick view of review status and who might be holding up reviews. Access a complete audit trail with all code review details, down to the history of a specific review. Customize your Jira Software workflow to stop if there are any open reviews. Upgrade your workflow with Jira Software, Bitbucket Server, Bamboo and hundreds of other developer tools.

Empowering modern development teams to find, fix and prevent vulnerabilities related to source code, open source libraries, secret management and cloud configuration. Empowering modern development teams to find, fix, and prevent security vulnerabilities in their applications. Continuous security scanning reduces cycle times and speeds up the shipping of features. Our expert system reduces the amount of false alerts and only informs about relevant security issues. Consistent security scanning across the entire product portfolio results in more secure software. GuardRails provides a completely frictionless integration with modern Version Control Systems like Github and GitLab. GuardRails seamlessly selects the right security engines to run based on the languages in a repository. Every single rule is curated to decide whether it has a high security impact issue resulting in less noise. Has built an expert system that detects false positives that is continuously tuned to be more accurate.

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.

Speeding up the review process but ensuring consistent, high-quality feedback, freeing senior developers for more complex tasks. Your engineers are your most valuable (and expensive) resource. HOJI AI helps them focus on what they do best, and do it even better. We do not use, store, or train on your codebase. We only store code review snippets for your reference and quality assurance purposes. Hoji AI uses a powerful AI pipeline built on top of GPT-4 to intelligently access context in ways GPT alone cannot.

gitStream lets you configure rules that decide how each pull request is treated based on the content of the code. These rules automatically find the right reviewer, check for deprecation, add context tags, and much more. The practice of improving merge efficiency by classifying pull requests based on change size and complexity. Automating the merge path based on the unique merge conditions allows work to flow more efficiently. gitStream adds context to your PRs with labels and comments. This added context empowers your developers to make the best decisions about how and when to work. Speed up time to merge by applying an auto-approve check on pull requests with simple changes like minor version updates of internal libraries. Automate change requests based on org. level coding practices like moving away from deprecated services.

Collaborate with each other and AI in the most natural way without leaving your favorite tools - minimizing distraction and context switching. Pullflow synchronizes user identities and code-review activity across GitHub, Slack, and VS Code, enabling you to converse naturally across platforms. Take action from wherever you are, and return to your flow. Pullflow integrates with GitHub Actions, external CI/CD, GitHub apps, and more, to bring you a single view of your pull request from draft and review to test and deploy. Let Pullflow take care of quick actions for you with just a chat mention or IDE keyboard shortcut. Request review, add/remove labels, give feedback, approve, and more, without a trip to GitHub.

Code review doesn't have to be so hard. Review Board takes the pain out of code review, saving you time, money, and sanity so you can focus on making great software. You can review just about anything. Code, documents, artwork, you name it! There's more to your project than just code. Documentation, artwork, website designs, interface mockups, release announcements, feature specifications, and the list goes on. A picture paints a thousand words, and can be key in a review. Drag-and-drop one or more images onto your review request to make them instantly reviewable. Your team will be able to click-and-drag anywhere on the image and leave a comment. When they do, you'll see their comment right along with that portion of the image. Made a tweak to the image? Just upload a new revision and view a visual diff of the changes through one of our many image diff modes. Sometimes you'll have other text content that's not part of your source tree.

Automate your workflow, let Upsource analyze your code and track the progress, while you focus on improvements. Participate in discussions and manage your reviews without leaving the comfort of your IDE. Explore new changes in the browser with IDE-like navigation, reply by email, and never miss an important change. Discuss changes, @mention others, react to comments, and unlock achievements as you discover new features and help your teammates! Easily make Upsource part of your process, integrate it with issue trackers, CI servers, and sync with GitHub. Don’t worry about outgrowing Upsource! No matter how large your team becomes or how many projects you have, Upsource can handle it. Whether you're looking for a code review tool, insight into your projects' history, or a place to collaborate or expand your developer expertise, Upsource has got you covered!

The ultimate tool to help Node.js developers secure their custom code. Developers are 4x more likely to fix issues before code is checked in. Reshift makes shifting security left seamless with security bug detection and remediation at compile time. A security tool that works with your developers, without slowing them down. Reshift integrates with the developers’ IDE so security issues are found in real-time and fixed before the code is merged. New to security? Reshift makes it easy to build code security into your pipeline for the first time. A tool built for growing software companies looking to level up their security. Not a security expert? Reshift is made for SMB’s, making it easy to set up with no need for security expertise. Improve code security, while learning about secure code.Reshift provides rich content and best practices, so developers learn about security while writing code.

If you are using GitHub Actions for CI/CD and are worried about the security of CI/CD pipelines, StepSecurity platform is for you. Implement network egress control and CI/CD infrastructure security for GitHub Actions runners. Discover CI/CD risks and GitHub Actions security misconfiguration. Standardize GitHub Actions CI/CD pipeline as code files by automated pull requests. Provides runtime security to help you prevent SolarWinds and Codecov CI/CD security attacks by blocking egress traffic with an allowlist. Instant contextualized insight into network and file events for all workflow runs. Control network egress traffic with granular job-level and default cluster-wide policies. Many GitHub Actions are not maintained and are risky. Enterprises fork such Actions, but ongoing maintenance is expensive. By offloading the tasks of reviewing, forking, and maintaining Actions to StepSecurity, enterprises can realize substantial risk reduction and time savings.

Automated code reviews driven by security. CodePatrol performs powerful SAST scans on your project source code and identifies security flaws early. Powered by Claranet and Checkmarx. CodePatrol provides support for a wide variety of languages and scans your code with multiple SAST engines for better results. Stay up-to-date with the latest code flaws in your project using automated alerting and user-defined filter rules. CodePatrol uses industry-leading SAST software provided by Checkmarx and expertise from Claranet Cyber Security to identify the latest threat vectors. Multiple code scanning engines are frequently triggered on your code base and perform in-depth analysis on your project. You may access CodePatrol anytime and retrieve the aggregated scan results in order to fix your project security flaws.

Set up codebeat to track every quality change in one of your Github, Bitbucket, GitLab or self-hosted repositories. We'll get you up and running in seconds. codebeat provides automated code review and supports many programming languages. It will help you prioritize issues and identify quick wins in your web and mobile applications. codebeat offers a great team-management tool for companies and open source contributors. Assign access levels and move people between projects within seconds. Perfect for both small and large troupe.

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.

Advanced detection for stealthy, zero-day malware. Combine in-depth static code analysis, dynamic analysis (malware sandboxing), and machine learning to increase zero-day threat and ransomware detection. Immediately share threat intelligence across your entire infrastructure—including multi-vendor ecosystems—to reduce time from threat encounter to containment. Validate threats and access critical indicators of compromise (IoCs) needed for investigation and threat hunting. Choose virtual or physical appliances, or public cloud deployments in Microsoft Azure. Trellix Intelligent Sandbox works with existing Trellix solutions, third-party email gateways, and other products supporting open standards. Tight product integration enables efficient alert management and maintains throughput and policy enforcement. Support for OpenIOC and STIX over TAXII further enhances integration.

Helix Swarm is a web-based, free code review tool for Helix Core. Using Helix Swarm keeps your projects moving forward at speed — while sticking to organizational processes. It unites teams to do more effective code reviews. Contributors share files, comment, suggest tasks, vote up or down, and submit final work within this code review tool. Plus, Helix Swarm streamlines the entire peer code review process. You’ll be able to make sure the right code gets reviewed by the right people — on time. This makes your code reviews more effective — and improves the quality of your next release.

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.

Amazon CodeGuru is a developer tool powered by machine learning that provides intelligent recommendations for improving code quality and identifying an application’s most expensive lines of code. Integrate Amazon CodeGuru into your existing software development workflow where you will experience built-in code reviews to detect and optimize the expensive lines of code to reduce costs. Amazon CodeGuru Profiler helps developers find an application’s most expensive lines of code along with specific visualizations and recommendations on how to improve code to save money. Amazon CodeGuru Reviewer uses machine learning to identify critical issues and hard-to-find bugs during application development to improve code quality.

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.

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.

Integrate security into SDLC via potent code analysis. Security must be an integral part of software development. Historically it hasn’t been. Static application security testing (SAST) used to be divorced from Code quality reviews, resulting in limited impact and value. beSOURCE addresses the code security quality of applications and thus integrates SecOps into DevOps. Other SAST offerings look at security as an isolated function. Beyond Security has turned this model upside-down by assuming the SecOps’ perspective in addressing security from all possible angles. Security Standards. beSOURCE adheres to all pertinent standards, guiding static code analysis engine in providing an actionable reference point.

Point Sourcegraph at the repositories you work with, stored in any code host, or search across the open source universe. Get answers quickly with literal, structural, and regular expression search, along with smart filters and Code Intelligence. Connect all your other tools to get things like test coverage, 1-click open file in editor, custom highlighting, and information from your other favorite services all in one place with extensions. Create living documentation with Markdown and live code queries to get engineers up to speed on unfamiliar code faster. Navigate through complex parts of your codebase or resolve incidents with collaborative and shareable notebooks. Embed notebooks anywhere you can embed HTML, like your own internal documentation, so you can spend less time updating stale docs. Search across every repository and code host to get to know the repository structure and learn from other developers' code.

Deliver on time; on/under budget. RhodeCode enables you to code faster, test harder, reduce bugs, and apply best practices across the firm's code base. Secure your team & assets behind-the-firewall. Share the same secure platform with our customers in defense, fin-tech, & other highly secure use cases. Leverage your team & investments better, so you can deliver on your roadmap. Unlock value from legacy apps & teams wastefully isolated from your new, agile projects. We've integrated great support for SVN. You have a no-compromise path to Git, while extracting ongoing value from your SVN apps and tools for years to come. Deliver outstanding results, faster. Develop software in a collaborative environment that fosters innovation, drives projects forward, enables you to track and allocate developer resources better. Large scale, global development teams require secure, yet highly performant, SCM solutions. RhodeCode's mission is to exceed the requirements.

The Most Comprehensive Static Analysis Toolsuite for Ada. CodePeer helps developers gain a deep understanding of their code and build more reliable and secure software systems. CodePeer is an Ada source code analyzer that detects run-time and logic errors. It assesses potential bugs before program execution, serving as an automated peer reviewer, helping to find errors easily at any stage of the development life-cycle. CodePeer helps you improve the quality of your code and makes it easier for you to perform safety and/or security analysis. CodePeer is a stand-alone tool that runs on Windows and Linux platforms and may be used with any standard Ada compiler or fully integrated into the GNAT Pro development environment. It can detect several of the “Top 25 Most Dangerous Software Errors” in the Common Weakness Enumeration. CodePeer supports all versions of Ada (83, 95, 2005, 2012). CodePeer has been qualified as a Verification Tool under the DO-178B and EN 50128 software standards.

Verify changes to hundreds of supported resource types in all major cloud providers. Scan cloud resources in build-time for misconfigured attributes with a simple Python policy-as-code framework. Analyze relationships between cloud resources using Checkov’s graph-based YAML policies. Execute, test, and modify runner parameters in the context of a subject repository CI/CD and version control integrations. Extend Checkov to define your own custom policies, providers, and suppressions terms. Prevent misconfigurations from being deployed by embedding it into existing developer workflows. Enable automated pull/merge request annotations on your repositories without having to build a CI pipeline or run scheduled checks. The Bridge crew platform will automatically scan new pull requests and annotate them with comments for any policy violations discovered.

Static analysis helps you to find potential issues in your code by doing an analysis on the source code level. C-STAT includes almost 700 checks in total, some comply with rules as defined by MISRA C:2012, MISRA C++:2008 and MISRA C:2004 and more than 250 checks mapping to issues covered by CWE. In addition, it checks compliance with the coding standard CERT C for secure coding. C-STAT executes fast and provides you with comprehensive and detailed error information. You don't need to worry about complex tool setup and struggle with language support and general build issues. C-STAT is completely integrated in the IAR Embedded Workbench IDE and enables you to easy ensure code quality in your daily development flow. It's available for most IAR Embedded Workbench products. Static analysis finds potential issues in code by doing an analysis on the source code level. In addition to raising the code quality, the analysis also aids alignment with industry coding standards.

Discover vulnerabilities across a codebase with CodeQL, our industry-leading semantic code analysis engine. CodeQL lets you query code as though it were data. Write a query to find all variants of a vulnerability, eradicating it forever. Then share your query to help others do the same. CodeQL is free for research and open source. Run real queries on popular open source codebases using CodeQL for Visual Studio Code. See how powerful it is to discover a bad pattern and then find similar occurrences across the entire codebase. You can create CodeQL databases yourself for any project that's under an OSI-approved open source license. GitHub CodeQL can only be used on codebases that are released under an OSI-approved open source license, to perform academic research, or to generate CodeQL databases for or during automated analysis. Download and add the project’s CodeQL database to VS Code, or create a CodeQL database using the CodeQL CLI.

Find and fix security issues early with the most accurate results in the industry. OpenText™ Fortify™ Static Code Analyzer pinpoints the root cause of security vulnerabilities in the source code, prioritizes the most serious issues, and provides detailed guidance on how to fix them. Plus, centralized software security management helps developers resolve issues in less time. Gain support for 1,657 vulnerability categories across 33+ languages, spanning more than one million individual APIs. Embed security into application development tools you use, with Fortify’s integration ecosystem. Gain control of the speed and accuracy of SAST by tuning the depth of the scan and minimizing false positives with Audit Assistant. Dynamically scale SAST scans up or down to meet the changing demands of the CI/CD pipeline. Achieve comprehensive shift-left security for cloud-native applications, from IaC to serverless, in a single solution.

Sider Scan is a lightning-fast duplicate code detection tool for software developers that finds and continuously monitors problems with code duplication. GitLab CI/CD, GitHubActions, Jenkins & CircleCI® integration. Installation using a Docker image. Easy team sharing of the analysis details. Continuous and fast analysis that runs in the background. Dedicated product support via email and phone. Sider Scan enhances long-term code quality and maintenance processes with in-depth duplicate code analysis. It's designed to complement other analysis tools, helping teams to produce cleaner code, and supporting continuous delivery. Sider finds duplicate blocks of code in your project and groups them. For each pair of duplicates, a diff library is created and pattern analyses are initiated to determine if there are any problems. This is referred to as the 'pattern' method of analysis. Time-series analysis is only possible when the scan is consistently run at regular intervals.