Compare the Top Software Development Analytics Tools for Startups as of April 2025

What are Software Development Analytics Tools for Startups?

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 Startups currently available using the table below. This list is updated regularly.

  • 1
    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.
  • 2
    Screenful

    Screenful

    Screenful

    For a long time, project analytics was hard to understand and time-consuming. You’d have to export data from productivity tools into spreadsheets. Screenful is an analytics tool that automates all that manual work. Save time and get any metrics you need at a glance with stunning dashboards, custom charts, and scheduled reports. See what others are working on and what has been resolved recently. Track your story cycle time, see your average lead time, and spot bottlenecks. Track & eliminate waste! See how much work is done vs. left. Get forecasts based on your team's historical velocity. Share insights with public and private links. Send them via email or Slack on a custom schedule. Screenful enables easy integration of new tools and data sets. To create a custom chart, go to the Charts tab and click Add new chart on the top right corner. A modal is opened with a set of chart templates. You can either create a new chart from scratch or pick one of the predefined charts.
    Starting Price: $43 per month
  • 3
    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.
  • 4
    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.
  • Previous
  • You're on page 1
  • Next