Gitprime has got quite a buzz. With $10.5 million in funding, it might be the most popular software development analytics tool. Gitprime, renamed to Pluralsight Flow after the acquisition (ex GitPrime alternatives), analyzes a team’s codebase to quantify software engineering progress. For example, GitPrime can identify engineers who are stuck or bogged down with refactoring and quantify the amount of effort spent paying down technical debt.
Git analytics tools have started getting traction because no matter your organizational structure or business processes, there will always be a need for data analysis. These tools can be even considered strategical for business intelligence, as they translate engineering activity into metrics, reports, and guidelines, which give engineering leaders visibility into the software development processes and transform the decision-making process into an objective, data-driven activity.
There’s nothing to set up and no change in workflow. Pluralsight Flow (ex GitPrime) provides analysis on your codebase to highlight work patterns, identify team and developer-specific areas for improvement, and offer concrete data to stakeholders on engineering progress, and facilitates decision making.
However, Pluralsight Flow (ex GitPrime) has gained a lot of competitors over the years, that offer highly competitive features and packages. Since Gitprime’s price tag ($599+) is quite high, many engineering leaders look for alternative tools that deliver more affordable solutions. So, who breathes down Gitprime’s neck? Let’s find out.
Development Analytics tools – also referred to as Git analytics tools – are apps that provide real-time insights into the software development process by using historical data. Engineering leaders use these tools to gather information related to roadblocks, daily and weekly progress, work patterns, and trends.
You will notice that Git analytics tools are aimed mostly towards engineering leaders, which understand the value of extracting data from the software development activity. They are used alongside product management software and integrate with source code management software.
The main characteristics of development analytics tools are:
Software development is one of those fields where decisions must be grounded on data. Such a data-rich activity can’t be conducted without measuring it. Despite knowing this there still is a major disconnect between the information and insights needed by engineering leaders to make the right decisions.
For this reason, we will talk about the top development analytics tools that help engineering managers make data-driven decisions and have better predictions.
Waydev is the leading Development Analytics tool that helps engineering managers gain better visibility into their software development team. Waydev focuses on increasing team productivity and helps managers become data-driven.
Waydev is evenly focused on providing code-level analytics, code review metrics, and project management insights, with a wide array of functionalities and flexibility, which allows multiple organizational layers to drive benefits from it.
Work Log – This feature helps you keep track of what everyone is doing individually or as a team. The Work Log report is especially helpful when managing large teams, with a high volume of activity. With this feature, you obtain a holistic view of your team’s performance and work patterns, as you are able to shift your focus onto commits and pull request activity, whenever necessary.
The Work Log report can be used to:
Daily Update – The Daily Update is designed to help identify the focus points of your team, and direct them in the right direction when necessary. The Daily Update brings transparency in the communication process, and signals in a timely manner when expectations need to be realigned.
At the core of this feature, we have the commit activity spread across four work types: New Work, Legacy Refactoring, Help others and Churn.
Blockers can be identified much faster and addressed without seriously impacting the velocity of the software development process.
Standups can improve considerably from using this feature, you can take the burden of self-reporting from your engineers and enhance the efficiency of these meetings by using real-time data.
Developer Summary – The Developer Summary report provides an aggregate view of individual developers’ activity, over the course of a month or a week, across all work types. The primary advantage that comes from this is that you can easily spot work patterns and progress, as well as blockers that have the potential to slow down your team.
You can leverage all the information provided by the ten metrics included in this feature, into one-to-ones. Coming prepared with all this knowledge will transform your one-to-ones from repetitive meetings to productive sessions where you can direct your attention to solving issues instead of trying to figure out what’s the issue.
Project Timeline – The goal of the Project Timeline is to create an overview of how work focus and volume changed over time, and how certain events affected your team’s output.d
Another benefit of this feature is the ability to determine how your team is performing relative to other teams, to industry benchmarks, or even your own trends.
The Project Timeline is composed out of four actionable trendline graphs regarding coding activity: Commits per Active day, Commits Volume, Code Volume, and Total Impact.
Review Collaboration – The Review Collaboration report is split into submitter and reviewer metrics that help engineering executives and managers gauge the velocity and thoroughness of the pull request process. It aims to provide an ample perspective of how engineering teams work collaboratively.
Trying to achieve the balance between speed and thoroughness in code review becomes easier when you are able to zoom in into the team’s collaboration stats.
The Review Collaboration report also includes a map of collaboration, by hovering over a developer’s name, you can find out how knowledge is distributed across teams, identify knowledge silos, or developers that may be overwhelmed by review work. You can leverage this feature and turn it into a real asset in monthly or quarterly review meetings.
Sprints – The Sprints report helps engineering managers to monitor the health of their sprints. Information at the right moment is the key to success, this feature signals when your sprint is at risk when your team members are overwhelmed, overcapacity, or falling behind with their tasks. It gathers evidence from multiple data points and creates a forecast of your sprint risk.
Waydev offers three pricing tiers:
Whether you are a growing team, a medium-sized enterprise, or a large organization, Waydev can handle your analytics needs.
Waydev, the leading Development Analytics solution, has achieved the High Performer ranking in the Winter 2020 Grid® Report for Development Analytics tools. The company’s ranking is based on real user feedback to specific search-related questions featured in the G2 review form. G2 defines Development Analytics tools as tools that provide high-level insights into development progress using historical data.
The majority of the software development reports are related to manual input from the software engineers. Waydev’s data analysis generates real-time reports and insights for engineering managers, without any input from the engineers. Waydev provides value with concrete metrics and indicators for daily stand-ups, 1-to-1 meetings, code review workflow, monthly/quarter reports, and benchmarking. Here is a demo video.
If you compare Waydev to Gitprime, you need to take into consideration what they offer:
We want you to use Waydev because you’re happy with the service, not because you signed a contract. You can cancel anytime within 30 days from the purchase and we will provide a refund for the remaining unelapsed full months. Request a free 30-day trial in the cloud or on-premise now.
Pluralsight Flow is a popular Git analytics platform, which offers visibility into engineering performance, showcases efficiency, and helps improve productivity.
Pluralsight Flow (former Gitprime) provides three pricing plans:
Codacy is an automated code analysis/quality tool that helps developers ship better software, faster. With Codacy, you get static analysis, predictive analytics, cyclomatic complexity, duplication, and code unit test coverage changes in every commit and pull request.
You can use Codacy to obtain software analytics, to enforce your code quality standard, save time in code reviews, enforce security best practices, and onboard developers faster. Integrate with your GitHub repositories to get quality analysis of every pull request inside GitHub.
Integrated into your workflow
Codacy adapts to your code review process, pushing results as comments in your pull requests and commits into your workflow in GitHub.
Track your quality evolution
Get a code quality glance at your project and track its quality evolution over time, easily paying back your technical debt.
With over 20 languages supported Codacy covers all your project needs. If you’re already using a code linter you’ll feel right at home as we probably support it.
With included code coverage integrated with your CI, Codacy will help you manage your project quality needs and help you pass from 10% to 80%.
You can define quality settings for your pull requests and commits that act as thresholds for your work.
Our Security Dashboard quickly shows alerts from running hundreds of security analysis checks in your project.
Code Climate Velocity is a development analytics tool focused on providing custom reports and a complete view of engineering teams’ performance. They do this by inspecting all the data from your Git repositories and then compressing it into real-time analytics.
Code Climate provides technical debt assessments and style checks in every pull request so that engineering teams only merges clear, maintainable, and well-tested code.
Code Climate Velocity has four pricing plans:
Get test coverage right, every time
View line-by-line test coverage data within diffs. See coverage on new lines of code in pull requests and avoid regressions by never merging insufficiently tested code.
Win the fight against technical debt
Their 10-point technical debt inspection flags maintainability issues relating to duplication, complexity, and structure before they’re merged.
Remove the pain from code review
Automatically enforce coding style and standards on every pull request. Raise awareness about code quality and focus conversations on what matters.
Identify hot spots
Correlate code quality information against areas of high churn so managers can focus their efforts on files with inadequate coverage or maintainability issues.
We work where you work
Their command-line interface (CLI) lets engineering teams run the exact same analysis locally, reducing the feedback loop during the development process.
LinearB is a development analytics tool that provides engineering managers with insights into how their engineering teams are working and the progress of releases.
LinearB has three pricing plans:
Back in 2007, when the first lines of code were created, the founders of SonarQube (originally called Sonar) had a dream to one day provide every developer the ability to measure the code quality of his projects. Their motto: “Continuous Inspection must become mainstream as Continuous Integration”.
To make this dream come true, they invested all their time and energy into developing SonarQube as an open-source product, working closely with the community. Today SonarQube is used by more than 85,000 organizations that in return provide regular feedback and contributions.
Fully integrated with DevOps toolchains, it comes with:
Gitalytics’s build environment provides a powerful platform that translates thousands of data points from GitHub, Gitlab, or BitBucket repos, code reviews, pull requests and tickets into easy to understand and use metrics and guidelines.
Support for many open-source tools built-in
Gitalytics has built-in wrappers for many open-source tools, but also supports any other tools that produce output in a supported format like the common checkstyle format.
Deeper analysis with Gitalytics’s own analysis
Gitalytics also provides own analysis software for selected languages which run a deep data flow analysis on your projects that is also powering our Code Intelligence product.
A framework for filtering false-positives
Keeping false-positives at a low level is important for continuous use and developer adoption. Scrutinizer allows you to filter not only specific issues, but also similar issues from future inspections.
Jellyfish is a development analytics platform that aims to give engineering organizations visibility into their engineering activity and the way they operate.
G2: 4.8/5 (6 reviews)
Capterra: 4.0/5 (1 review)
Development analytics tools definitely have the momentum in the product development space. Gitprime is currently in the spotlight, but there are many tools striving to beat it and serve users even better.