Best Software Development Analytics Tools for Python

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Compare the Top Software Development Analytics Tools that integrate with Python as of July 2025

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This a list of Software Development Analytics tools that integrate with Python. Use the filters on the left to add additional filters for products that have integrations with Python. View the products that work with Python in the table below.

What are Software Development Analytics Tools for Python?

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 for Python 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 Ratings
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  • 2
    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.
    1 Rating
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  • 3
    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
    View Tool
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