Alternatives to Codacy

Parasoft's mission is to provide automated testing solutions and expertise that empower organizations to expedite delivery of safe and reliable software. A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems.

Velocity provides detailed, contextual analytics that enable engineering leaders to help their team members, resolve team roadblocks and streamline engineering processes. Engineering leaders can get actionable metrics. Velocity transforms data from commits to pull requests into the insights that you need to make lasting improvements in your team's productivity. Quality: Automated code reviews for test coverage, maintainability, and more so you can save time and merge with confidence. Automated code review comments for pull requests. Our 10-point technical debt assessment gives you real-time feedback so that you can focus on the important things in your code review discussions. You can get perfect coverage every time. Check coverage line-by-line within diffs. Never merge code again without passing sufficient tests. You can quickly identify files that are frequently modified and have poor coverage or maintainability issues. Each day, track your progress towards measurable goals.

Sahi Pro is a suite automation tools for web, Web-services, Windows desktop and Java applications. Sahi Pro features include automatic waits, recorders and accessor spy, inbuilt frame and editor, parallel playback, automatic reporting, automatic logging, and reporting. Also, Sahi Pro can save 70% of the time and effort that is normally spent on test automation. Sahi Pro has been trusted by more than 400 companies around the world and is quickly becoming the preferred tool for test automation in the agile world.

Develop healthier code. Improve code quality and workflow. Codecov offers a comprehensive suite of tools that allow you to group, merge and archive coverage reports, as well as compare them. Open source. Plans starting at $10/user per month. Ruby, Python and C++ as well as Javascript are all available. All CI products and workflows can be integrated easily. No setup is required. Automatic report merging for all CI languages and languages into one report. You can get custom statuses for any group of coverage metrics. You can review coverage reports by folder, project, and type (unit tests or integration tests). You can comment the detailed report directly in your pull request. Codecov is SOC 2 Type II Certified. This means that Codecov has been audited by a third party and attested to our security practices.

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.

The YAG Suite is a French-made innovative tool that takes SAST to the next level. YAGAAN is a combination of static analysis and machine-learning. It offers customers more than a sourcecode scanner. It also offers a smart suite to support application security audits and security and privacy through DevSecOps design processes. The YAG-Suite supports developers in understanding the vulnerability causes and consequences. It goes beyond traditional vulnerability detection. Its contextual remediation helps them to quickly fix the problem and improve their secure coding skills. YAG-Suite's unique 'code mining' allows for security investigations of unknown applications. It maps all relevant security mechanisms and provides querying capabilities to search out 0-days and other non-automatically detectable risks. PHP, Java and Python are currently supported. Next languages in roadmap are JS, C and C++.

SonarCloud automatically analyzes and decorates pull request branches to maximize your throughput. To prevent undefined behavior from affecting end-users, catch tricky bugs. Security Hotspots will help you identify and fix vulnerabilities that could compromise your app. It takes just a few mouse clicks to get your code up and running. Instant access to the most recent features and enhancements. Project dashboards keep stakeholders and teams informed about code quality and releasability. Show your communities that you care about awesome by displaying project badges. Your entire stack should be concerned about code quality and security. We cover 24 languages, including C++, Java, Python, and many other. Transparency is a good thing and the trend is growing. Join the fun! Open-source projects are completely free!

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.

Codebeat can be used to track every quality change in your Github repositories, Bitbucket, GitLab, or self-hosted repositories. We will get you up and running within seconds. codebeat supports many programming languages and automates code review. It will help you prioritize problems and identify quick wins in both your web and mobile apps. Codebeat is a great tool for managing teams and open-source contributors. You can assign access levels and move people around between projects in seconds. This is ideal for small and large groups.

Embold's intuitive visuals and deep analysis will help you gain a deeper understanding of the software. Visually understand the size and quality each component to fully understand the state and functionality of your software. Rich annotations make it easy to understand issues at the component level and locate them in your code. Navigate through all dependencies and see how they affect each other. Our innovative partitioning algorithms make it easy to quickly understand how to refactor or split complex components. The EMBOLD SCORE is a measure of the impact of four dimensions on how many components are most important to the overall quality and should be resolved first. Our unique anti-patterns allow you to analyze the structural design of your code at the class, functional, or method levels. Embold uses a variety of metrics to assess the quality and reliability of software systems, including cyclomatic complexity and coupling between objects.

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.

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.

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.

Engineers can save time by focusing on what they do well, which is creating products. You can create your own patterns and describe how you want to look while reviewing. Trag will do this for you before you get started. Create rules for the use cases of your team. You can create as many rules as you like, and as thoroughly as you wish. Our AI can recover all rules that fail. We never commit directly. You will get PR when the fix is applied. Connect multiple repositories. Multiple repositories are at your fingertips. Invite and collaborate with teammates. Trag will automatically review any PRs that have patterns. Monitor pull request analytics to make better decisions. You can create your own patterns by using natural language. Trag will automatically match the rules with the changes in the PR and fix them. We never commit directly to the code, but only through PRs. We don't use any of your code.

Pull request reviews that are privacy-focused and contextual, with code suggestions for each line of code and an interactive chat that becomes smarter over time. The diff in the Pull Request is transformed into a summary that helps you understand the intention of the changes. Creates automated release note, which can be included in the release documentation. A detailed analysis of code changes, line-byline, provides precise and actionable recommendations ready to be committed. Ask the bot questions within your code lines. Provide more context and let it write the code. The more you interact with the bot, it will become smarter. Reduce cycle time by reducing the number of reviews and generating high-quality suggestions for code changes. Your data is kept confidential and used to fine-tune your reviews. The system refines the reviews based on your interactions.

Collaboration with AI and each other is made easy without having to switch between tools. This reduces distractions and context switches. Pullflow synchronizes your user identities and code review activity across GitHub Slack and VS Code. This allows you to communicate naturally across platforms. Take action wherever you are and return to your flow. Pullflow integrates GitHub Actions, external CI/CD tools, GitHub apps and more to give you a single view on your pull request, from the draft stage to the test and deployment phase. Pullflow can take care of your quick actions with a simple chat mention or IDE shortcut. Request review, add/remove label, give feedback, accept, and more without a trip on GitHub.

Visual Expert is a static code analyzer for Oracle PL/SQL, SQL Server T-SQL and PowerBuilder. It identifies code dependencies to let you modify the code without breaking your application. It also scans your code to detect security flaws, quality, performance and maintenability issues. Identify breaking changes with impact analysis. Scan the code to find security vulnerabilities, bugs and maintenance issues. Integrate continuous code inspection in a CI workflow. Understand the inner workings and document your code with call graphs, code diagrams, CRUD matrices, and object dependency matrices (ODMs). Automatically generate source code documentation in HTML format. Navigate your code with hyperlinks. Compare two pieces of code, databases or entire applications. Improve maintainability. Clean up code. Comply with development standards. Analyze and improve database code performance: Find slow objects and SQL queries, optimize a slow object, a call chain, a slow SQL query, display a query execution plan.

Jedi is a Python static analysis tool that can be used in IDEs and editor plugins. Jedi focuses on autocompletion, goto functionality, and has a lot of other features. Other features include code search, refactoring and finding references. Jedi offers a simple API for use. A reference implementation is available as a VIM Plugin. It is possible to autocompletion your REPL. IPython uses it natively. You can also install it for the CPython REPL. Jedi is well-tested and should have few bugs. A script is the foundation for Jedi completions, goto, or whatever else you might need. Interpreter is the other part of this class. It works with actual dictionary and can also work with a REPL. This class should be used when editing code in an editor. Most methods have both a line parameter and a column parameter. Jedi lines are always 1-based, while columns are always zero-based. They are not always documented to avoid repetition.

You can save time and money by finding and fixing problems earlier. You can reduce the time and expense of delivering high quality software by avoiding costly and more complex problems later. Ensure that your C# and VB.NET codes comply with a wide variety of safety and security industry standards. This includes the requirement traceability required and the documentation required for verification. Parasoft's C# tool, Parasoft dotTEST automates a wide range of software quality practices to support your C# or VB.NET development activities. Deep code analysis uncovers reliability issues and security problems. Automated compliance reporting, traceability of requirements, code coverage and code coverage are all key factors in achieving compliance for safety-critical industries and security standards.

Amazon CodeGuru is an intelligent developer tool that uses machine learning to make intelligent recommendations for improving code quality, and identifying the most costly lines of code in an application. Integrate Amazon CodeGuru in your existing software development workflow to get built-in code reviews that will help you identify and optimize the most expensive lines of code to lower costs. Amazon CodeGuru Profiler allows developers to find the most expensive lines in an application's code. It also provides visualizations and suggestions on how to improve code to make it more affordable. Amazon CodeGuru Reviewer uses machine-learning to identify critical issues and difficult-to-find bugs in application development to improve code quality.

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.

Coco®, a tool for multi-language code coverage, is available. Automated source code instrumentation can be used to measure test coverage for statements, branches, and conditions. When a test suite is run against an instrumented application, data can be collected that can be later analyzed. This analysis can be used for understanding how much of the source code was touched by tests, which additional test suites need to be written, and how the test coverage has changed over time. Identify dead or untested code, redundant tests, and untested code. Identify the impact of a patch and code coverage. Coco supports branch coverage, statement coverage, MC/DC, and other levels. Linux, Windows, RTOS, and other platforms. GCC, Visual Studio and embedded compilers are all available. You can choose from text, HTML, XML and Cobertura report formats. Coco can also integrate with other build, test, and CI frameworks such as JUnit Jenkins, SonarQube, and SonarQube.

Artificial intelligence can simplify code reviews. Costs and productivity will increase. Receive suggestions for possible fixes to errors and warnings. Codara's CLI tool integrates seamlessly into your existing development environment. Use AI to detect issues, suggest optimizations and ensure that your code is clean and efficient. Setup in minutes, review within seconds. Instant feedback that you can act on as you code. Codara's AI will review your work in real time, helping you to catch errors before they escalate. Codara adapts itself to your needs, whether it's in terms of style, complexity or performance. Privacy is of paramount importance. Codara guarantees that your data is always confidential and secure. Codara is scalable to meet your needs and can be used for projects of any size.

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.

Advanced fuzzing solution that combines guided and symbolic execution. This technology is patented by CMU. Mayhem, an advanced fuzz testing solution, dramatically reduces manual testing with autonomous defect detection. You can deliver reliable, secure software in a shorter timeframe, at a lower cost, and with less effort. Mayhem's unique advantage lies in its ability to continuously acquire intelligence about its targets. Mayhem's knowledge increases and it expands its analysis. This allows it to maximize its code coverage. All vulnerabilities reported are exploitable and confirmed risks. Mayhem provides detailed system-level information such as backtraces, memory logs and register state to assist in remediation efforts. This helps speed up issue diagnosis and fixes. Mayhem uses target feedback to automatically generate test cases -- no need for manual testing. Mayhem provides access to all its test cases, making regression testing easy and continuous.

COBOL Analyzer allows developers to continuously analyze their code before, during and after changes are made in their local environment. This is done before committing the changes to the source control stream. COBOL Analyzer uses an industry-standard relational database management system (RDBMS), for central storage of application information. Interactive visualizations and intuitive interfaces allow stakeholders to see the application and developers to receive updates on code changes. The COBOL Analyzer solution comes with a pre-built query list that allows you to find points of interest in the application code. The COBOL Analyzer solution detects all code affected by a planned code change event. COBOL Analyzer allows developers to continuously analyze their code, before and after any changes are made in their local environment.

Cauldron Cloud allows developers, managers, and community builders to better understand open-source development and provide insights about the projects that are most important to them. You have full control over open-source projects like GitLab, GitLab, and Stack Exchange. Curate information about contributors, duplicates, affiliations and more. 16GB RAM and 320GB storage Cauldron example. Community and organization engagement, growth, development performance indicators. Compare a set of projects based on selected KPIs in software development. Get summary information on selected indicators, or create your own dashboards and reports. Get your Cauldron Cloud account. Cauldron Cloud measures GitHub data, including commits and code changes, issues, pull requests, and GitLab data (Commits and code changes and merge requests), and StackExchange data, which includes questions and answers from all StackExchange websites, including Stackoverflow and Ask Ubuntu.

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.

Hubbl Diagnostics: Empowering the Salesforce Ecosystem with Intelligent Org Solutions At Hubbl Diagnostics, we're dedicated to uplifting and empowering the entire Salesforce ecosystem through our powerful org intelligence solutions. We provide Salesforce admins, architects, and consultants with the broadest and most actionable insights into any Salesforce org. Our mission is clear: to help organizations tackle technical debt, eliminate redundant automation, and navigate the ever-expanding complexity of their Salesforce orgs. By doing so, we enable businesses to maximize their return on investment in Salesforce, achieving results faster than ever before. What sets Hubbl Diagnostics apart is our proprietary metadata aggregation, which not only delivers invaluable insights but also equips the Salesforce ecosystem with benchmark data. With this data, users can easily measure and compare their org complexity against others in their industry, gaining a competitive edge. Through the power of Hubbl Diagnostics, companies can transform their Salesforce operations, streamlining processes, optimizing efficiency, and achieving unparalleled success.

The review process can be accelerated while ensuring high-quality feedback and allowing senior developers to focus on more complex tasks. Your engineers are the most valuable (and costly) resource you have. HOJI helps them focus on their strengths and improve upon them. We do not store, use, or train using your codebase. We only store code reviews snippets as a reference for quality assurance and for your reference. Hoji AI is a powerful AI pipeline that uses GPT-4 as a foundation to intelligently access context.

High quality code must be sent. Code can be reviewed, discussed, changed, shared knowledge, and identified defects in SVN, Git and Mercurial, CVS and Perforce. Formal, workflow-based, and quick code reviews can be created. You can assign reviewers from your entire team. Any code review can be turned into a threaded discussion. You can comment on specific source lines, files or entire changesets. Unified views of your code activity allow you to focus on the important things. You can improve code quality by knowing which parts of your codebase have not received sufficient review. A quick overview of review status and who might be preventing reviews. You can access a complete audit trail that includes all code review details down to the history for a particular review. You can customize your Jira Software workflow so that you know when to stop if there is an open review. Upgrade your workflow with Jira Software and Bitbucket Server. Bamboo, Bitbucket Server and hundreds of other developer tools are available.

Ruby and GitHub: Actionable test coverage Get insights and checks to help your team deliver healthy code. Stop focusing on 100% coverage of test coverage. Reduce defects in pull requests by notifying when the code hasn't been tested before it is deployed to production. The CI server runs tests, and uploads coverage data for UndercoverCI. This is the only post-installation step. We scan the PR diff to verify local coverage for each class, method, or block. An absolute percentage check is not sufficient. Untested methods and blocks are revealed, as well as unused code paths. This will help you improve your test suite. Explore the Ruby gems family or install UndercoverCI's hosted GitHub app. Easy setup for your organization with a fully-featured GitHub App code inspection integration. The UndercoverCI project, and the related Ruby gems, are completely open-source and can be used locally or in your CI/CD workflows.

You can instantly try your first CodeRush feature and discover how powerful it is. Refactoring for C# and Visual Basic. The fastest test.NET runner, next-generation debugging and the most efficient coding experience. You can quickly find symbols and files within your solution and navigate to code constructions relevant to the current context. CodeRush also includes Quick Navigation and Quick File Navigation, which make it quick and easy to locate symbols and open files. Analyze Code Coverage allows you to see which parts of your solution are covered and pinpoint the risky parts. The Code Coverage window displays the percentage of statements that have been covered by unit testing for each namespace, type and member of your solution.

This is a new and improved way to measure technical quality and technical debt. This tool is ideal for engineers and non-tech managers. Unlock the hidden potential of your workforce. You'll get powerful insights that will help you deliver a better product. Duecode will keep you in touch with your team. You can get real-time information about the quality of your software and the top performers on the team. Duecode provides valuable insight into the workflow of each developer and allows you to visualize the vulnerabilities in your project's code. To understand what happens underneath the hood of your project, you don't need any technical knowledge. Based on 2.5 bln. Based on 2.5 bln lines of code and 172k repositories, we found it possible condense a code summary to the one letter rank. Duecode makes it easy to see your technical debt. Find your pain points early and fix them. You can keep your codebase healthy by identifying fat code commits and preventing code from getting broken.

Hatica provides actionable analytics and workflows that empower engineering teams to be their best. Combine git, project and collaboration data to gain insights into dev workflows that will help your engineering teams do their best work. Track Pull requests metrics from open through deployment, along with code-review metrics, to identify bottlenecks or opportunities for improvement. Metrics such as deployment frequency, MTTR and change failure rate can be used to measure DevOps performance. A centralized dashboard that displays aggregated activity and metrics from git, project management and CI/CD tools, which act as a proxy for progress and performance, allows you to view the data. You can gain insight into the allocation of effort by engineering teams to align them with business goals. Hatica consolidates all work activity and progress in a central dashboard, giving visibility into where your teams are working and what they are facing.

During code review, you can find critical performance, reliability, or security bugs that are easiest to fix. Sonatype Lift is a cloud-native code analysis platform that's collaborative and built for developers. It analyzes every developer pull request to identify and fix security, reliability, style, and reliability issues. Then, it reports them as comments to code review where they are 70x more likely get fixed. The first deep code analysis tool that focuses on code quality will elevate your development. Sonatype Lift is a part of the development process. It analyzes, reports, and provides feedback on bugs in the same way as your peers in peer code review. It is compatible with the existing development environments such as Bitbucket, GitLab, and GitHub. The Lift-bot instantly reports any pull request with vulnerability and bug information. One tool allows you to go beyond traditional linting to deeper analysis of interprocedural codes.

Middleware relieves engineers from the repetitive follow-ups required to ensure smooth product deliveries and identifies workflow bottlenecks, so they can eliminate any hiccups in their team's workflow. Middleware sits atop the team's current tools such as GitHub, Calendar and Jira, and provides managers with actionable insights that will help them run their team efficiently, and prevent their engineers burning out. Single view that highlights areas for action, whether it's a delivery issue, or a people problem. We can use your PRs to gain insights into which reviewer is the bottleneck, or whether the team has been waiting too long for reviews or is reworking each code change. To prevent burnout and boredom, you can spot if your team has too many calls or deliveries. Middleware 1:1s allow you to see the developer's performance, and keep track of his or her growth areas and goals. This will help you grow your engineer.

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.

All developers can be found in one place. Find out who contributed code to Bitbucket over the past month, week or day. You can see the stats and dynamics of each developer to find out who has been the most active. You can capture the history of your project as lines of code. Add, delete, and total. All changes to the code made by developers on the project are combined for a bird's-eye view and a new perspective when planning and reviewing retrospectives. You can see the progress of your team and identify bottlenecks. You can choose the metrics that best suit your needs: commits or lines of code added/removed. To see the summaries of commits in a repository, or project, you can look at the hour and day of the week to see when the work was completed. Select the time period for the graph to determine which commits should be counted, whether they were made by one developer or several developers. You can view the calendar listing all contributions made by a given developer in the past year.

The LDRA tool Suite is LDRA’s flagship platform. It provides open and extensible solutions to build quality into software, from requirements through deployment. The tool suite provides a continuum of capabilities including requirements traceability, test management, coding standards compliance, code quality review, code coverage analysis, data-flow and control-flow analysis, unit/integration/target testing, and certification and regulatory support. There are many configurations of the core components of this tool suite that can be used to meet common software development needs. You can tailor the solution to any project with a comprehensive range of add-on capabilities. TBvision and LDRA Testbed provide the foundational static/dynamic analysis engine. They also offer a visualization engine that allows users to easily understand and navigate standards compliance, quality metrics and code coverage analyses.

Collaborator allows you to customize and scale your peer review process for code and documents. Collaborator is the best peer code and document review tool for developers who take software quality very seriously. * Comprehensive Review Capabilities: Review source code, design documents, requirements, user stories and test plans in one tool. * Proof of Review – Ensure that you have electronic signatures and detailed reports in order to comply with regulatory compliance standards. * Support for 11 SCMs – including Git, SVN and TFS, Perforce. CVS, ClearCase. RTC. * Integrations - with GitHub GitLab, Bitbucket Jira Eclipse Visual Studio, Bitbucket and Bitbucket * Real-Time Updates-- Threaded chat displays conversations and highlights changes and defects during code reviews.

Atlassian Clover has been a reliable source of code coverage analysis for Java and Groovy developers for many years. This reliability has allowed us to concentrate our development efforts on improving our core offerings like Bitbucket and Jira Software. Clover has been open-sourced, which we believe is the best way for Clover to receive the attention and focus it deserves. Clover is open to developers who are eager to contribute, just like they were with other open-source projects such as the IDE connectors or dozens of libraries. Clover is already a powerful tool for code coverage and we are excited to see how the community will make Clover thrive.

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.

Phabricator supports post commit auditing. It can be used as a primary workflow, or when combined with Herald, rule-based triggers can be used to get extra eyes on your code. You can plan features, track bugs, and give tokens. Maniphest allows you to customize input forms and use custom fields. It also has an API. Phriction is a documentation wiki that allows you to write down things and then revert them later. Workboards are easy to use with drag-and-drop. Conpherence makes it easy to keep track of where your team is eating lunch with just a few clicks. Keep track of your company's activity with Herald. This notifies you when something important happens (e.g., a file being modified). You can access most of Phabricator's functionality via the arcanist command-line tool. You can use the Conduit API to create scripts that interact over an HTTP JSON API with Phabricator.

Automate your workflow and let Upsource analyze your code. You can then track the progress while you concentrate on making improvements. You can participate in discussions and manage your reviews from the comfort of your IDE. You can explore new features in the browser using IDE-like navigation. You can also reply to emails and never miss an important update. You can discuss changes, @mention others and respond to comments. As you discover new features and help other teammates, you unlock achievements. Easily integrate Upsource with issue trackers, CI servers and synchronize with GitHub. Upsource is not going to grow! Upsource can take care of any size team or number of projects. Upsource can provide you with a code review tool and insight into the history of your projects, as well as a place for you to collaborate or expand your developer skills.

Reduce static code analysis time from 1000s to just minutes. Security vulnerabilities can be fixed across hundreds of repositories in a matter of minutes. Moderne automates code-remediation tasks, allowing developers to deliver more business value every day. Automate safe, sweeping codebase changes that improve quality, security, cost, and code quality. Manage dependencies in your software supply chain - keeping software up-to-date continuously. Eliminate code smells automatically, without the scanning noise of SAST or SCA tools. You will always work in high-quality code. It's the last shift for security. Modern applications naturally accumulate technical debt. They are made up of many codebases and software ecosystems, which include custom, third-party and open-source code. Maintaining your code has become more complicated due to software complexity.

Automating pull request summaries can save you valuable developer time. In seconds, you can open a pull request to get a summary about the changes. You can instantly understand the implications of small pull request and get a head start on larger ones. Code reviews take a lot of time. There is often back-and-forth between the author and the reviewer. This is often about minor changes that could easily be automated. Simply comment on the code lines that need to be refactored using /wtd, and then describe the changes you want. With a single click, What The Diff will suggest the changes to your pull request. What The Diff analyzes your pull requests and provides a summary in plain English for you and your team. What The Diff is able to handle almost all programming languages and has been trained with a large data set of code. Try the GitHub app free of charge on one of your repositories.

Typo is an AI-powered software delivery management platform that empowers tech teams with real-time SDLC visibility, automated code reviews & DevEx insights to help them code better, deploy faster & stay true to their business goals. Connect Typo with your existing tool stack (Git, Project management, CI/CD, Incidents, Slack, etc) within 30 seconds & enable your teams with: - Real-time SDLC visibility, DORA Metrics & Delivery Intelligence - Automated code reviews, vulnerabilities & auto-fixes - Developer Experience insights & potential burnout zones Start your 14-day free trial now by visiting Typo's website.

Using your GitHub data to power engineering analytics, you can ship faster and improve team satisfaction. Analyze pull request data at the team level to identify "NorthStar" metrics such as cycle time, deployment frequency and change failure rate that will help you improve delivery. Find bottlenecks such as code review quickly, then experiment with smaller pull requests and automated tests to improve the outcome.

Snappy Tick Source Edition is a source-code review tool that helps to identify vulnerabilities in source code. We offer Source Code Review and Static Code Analysis tools. An In-line auditing approach will help you identify the most important security issues in your application. It will also verify that there are adequate security controls. SnappyTick Standard Edition (DAST), is a Dynamic application security tool that performs grey box and black box testing. Analyze the responses and requests to find vulnerabilities in an application. This can be done while the applications are still running. SnappyTick has amazing features. Multilingual scanning is possible. The best reporting that highlights the exact source files, line numbers, subsections, and even lines that are affected.