Best Software Development Analytics Apps for Android of 2024

Pluralsight Flow helps engineering teams to improve software delivery by providing actionable insights from their code repositories and agile tools. Engineering teams can increase their team's product delivery speed by identifying and removing developer friction and building healthy software development patterns. Flow provides engineering teams more understanding into their team’s workflow patterns which then enables them to identify bottlenecks, compare trends and help their team to build better. Flow helps teams to improve their developer experience while also improve the quality and speed of their delivery speed.

Gradle, Inc. includes the Gradle Build Tool and Develocity (formerly Gradle Enterprise). These tools are used to speed up and debug builds, tests, and other tasks for Maven, Gradle, Bazel, and sbt. Gradle Build Tool is the most used tool to build open-source JVM projects on GitHub. It is downloaded on average more than 30 million times per month, and was included in TechCrunch's Top 20 Most Popular Open Source Projects. Many popular projects have moved from Maven to Gradle. Spring Boot is one of them. Develocity is the only platform that combines software build performance acceleration with analytics. It is used by the most prestigious software development companies around the world to reduce build times by half and give developers back one week of lost productivity time. Acceleration technologies speed up the software development and testing process. Data analytics (Failure Analytics Trends & Insights), make troubleshooting easier.

Amazon QuickSight allows everyone within your organization to access your data. This includes asking questions in natural language, exploring interactive dashboards, and automatically looking for patterns or outliers using machine learning. QuickSight powers millions upon millions of dashboard views per week for customers like the NFL, Expedia and Volvo. This allows their end-users make better data-driven decision making. To receive relevant visualizations, ask questions about your data using Q's ML-powered engine. This allows you to ask conversational questions without the need for data preparation by admins and authors. AWS' machine learning expertise allows you to uncover hidden insights in your data, forecast accurately and do what-if analysis. You can also add natural language narratives or easy-to-understand natural languages to your dashboards using AWS' machine learning expertise. You can embed interactive visualizations and dashboards in your applications, as well as sophisticated dashboard authoring and natural language query capabilities.