Best Software Development Analytics Tools

Compare the Top Software Development Analytics Tools as of April 2025

What are Software Development Analytics Tools?

Software development analytics tools enable development teams to generate insights and analysis on their software development activities in order to track progress, identify bottlenecks, view trends, increase efficiency, and more. Software development analytics is sometimes known as Git analytics. Compare and read user reviews of the best Software Development Analytics tools currently available using the table below. This list is updated regularly.

  • 1
    SonarQube Server

    SonarQube Server

    SonarSource

    SonarQube Server is a self-managed solution for continuous code quality inspection that helps development teams identify and fix bugs, vulnerabilities, and code smells in real-time. It provides automated static code analysis for a variety of programming languages, ensuring the highest quality and security standards are maintained throughout the development lifecycle. SonarQube Server integrates seamlessly with existing CI/CD pipelines, offering flexibility for on-premise or cloud-based deployment. With advanced reporting features, it helps teams manage technical debt, track improvements, and enforce coding standards. SonarQube Server is ideal for organizations seeking full control over their code quality and security without compromising on performance.
  • 2
    Code Climate

    Code Climate

    Code Climate

    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.
  • 3
    Amazon CodeGuru
    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.
  • 4
    Faros AI

    Faros AI

    Faros AI

    Faros AI connects the dots between your engineering data sources – ticketing, source control, CI/CD, and more – giving unprecedented visibility and insight into your engineering processes. Be amazed at what you can achieve with Faros AI. With Faros AI, engineering leaders can scale their operations in a more data-informed way — using data to identify bottlenecks, measure progress towards organizational goals, better support teams with the right resources, and accurately assess the impact of interventions over time. DORA Metrics come standard in Faros AI, and the platform is extensible to allow organizations to build their own custom dashboards and metrics so they can get deep insights into their engineering operations and take intelligent action in a data-driven manner. Leading organizations including Box, Coursera, GoFundMe, Astronomer, Salesforce, etc. trust Faros AI as their engops platform of choice.
  • 5
    Codacy

    Codacy

    Codacy

    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/
    Starting Price: $15.00/month/user
  • 6
    Amazon QuickSight
    Amazon QuickSight allows everyone in your organization to understand your data by asking questions in natural language, exploring through interactive dashboards, or automatically looking for patterns and outliers powered by machine learning. QuickSight powers millions of dashboard views weekly for customers such as the NFL, Expedia, Volvo, Thomson Reuters, Best Western and Comcast, allowing their end-users to make better data-driven decisions. Ask conversational questions of your data and use Q’s ML-powered engine to receive relevant visualizations without the time-consuming data preparation from authors and admins. Discover hidden insights from your data, perform accurate forecasting and what-if analysis, or add easy-to-understand natural language narratives to dashboards by leveraging AWS' expertise in machine learning. Easily embed interactive visualizations and dashboards, sophisticated dashboard authoring, or natural language query capabilities in your applications.
  • 7
    Astronuts

    Astronuts

    Astronuts

    Astronuts is an AI-powered code review platform designed to streamline the development process by automating code reviews and bug fixes. Developers can initiate code analysis with a simple command, receiving line-by-line smart comments and auto-fix suggestions. The platform offers features such as pull request summaries, code quality metrics, and change logs, all accessible through a user-friendly interface. Astronuts integrates seamlessly with GitHub, allowing teams to monitor pull request batch sizes and code health metrics, thereby reducing code review time and minimizing bugs. The platform also provides real-time chat for code-related queries, configurable behavior settings, and gateway rules to enforce code quality standards. With support for multiple programming languages and build systems, Astronuts caters to diverse development environments. The platform offers a free trial with $5 in credits, enabling teams to experience its benefits without initial costs.
    Starting Price: $8 per month
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