Best Software Development Analytics Tools with a Free Trial of 2025

Cortex Internal Developer Portal allows engineering organizations to easily gain visibility into services and deliver high-quality software. Scorecards allow teams to focus on what is most important to them, such as service quality, production ready standards, and migrations. Cortex's Service Catalog integrates with popular engineering tools to give teams an easy way of understanding everything about their architecture. Teams help organizations improve service quality while fostering a sense ownership and pride. Scaffolder allows developers to scaffold a new service using templates created by your team in less than five minute.

Typo is an AI-powered software delivery management platform that empowers tech teams with real-time SDLC visibility, automated code reviews & DevEx insights to help them code better, deploy faster & stay true to their business goals. Connect Typo with your existing tool stack (Git, Project management, CI/CD, Incidents, Slack, etc) within 30 seconds & enable your teams with: - Real-time SDLC visibility, DORA Metrics & Delivery Intelligence - Automated code reviews, vulnerabilities & auto-fixes - Developer Experience insights & potential burnout zones Start your 14-day free trial now by visiting Typo's website.

CloudBees is a software delivery platform that offers complete functionality. Developers can innovate faster with self-service, scalable, repeatable and compliant workflows. Learn how we can help you release safer, faster software. You can manage, release, and monitor features at scale. Visibility should not be limited to a single pipeline. You can orchestrate your software delivery company from beginning to end. Learn why "meta" orchestration is such a game-changer. Analyze, communicate, and measure the impact of software delivery on business performance. Get answers to your questions about software delivery analytics. You can ensure that assets are compliant at all stages, including production. This will allow you to automatically identify potential risks and address them. Stop waiting for builds, fixing bugs and rewriting scripts. You can now focus on your core competencies: feature management and fast workflows. Automate compliance, security, governance and compliance without limiting flexibility. Developers are happier when you're confident. Software delivery should be treated as a business. Manage risk proactively

What is Waydev? Waydev is a Git Analytics tool for engineers and executives that helps them move from feeling-driven to data driven leadership. Waydev analyzes your Git repos and generates reports and insights about engineering performance.

GitView is an git analytics tool for engineers leaders. All the work happening in your engineering organization can be seen in one place. You will see code changes, pull request, and reviews. Use meaningful metrics to determine which code changes are most impactful. Simple to understand graphs and tables show impact scores and whether code modifications are new work, slow, churn, legacy changes (refactor) or simple removal. DORA insights include deployment frequency, lead times for changes and failure rate. Visual displays of velocity and detailed cycle time breakdown help to identify bottlenecks and improve efficiency. All data can be filtered using teams, contributors, repositories, and other methods. We emphasize transparency & customizability. You can see how each data point was calculated. You can also use Raw SQL to create custom reports, dashboards and emailers.

We combine and reconstruct Git, release and project data to provide real-time project insight and team metrics. This is done with no manual updates or interruptions to developers. LinearB's Software Delivery Intelligence platform analyzes hundreds if not thousands of signals from your Git or project systems every minute to highlight areas where you can make the most impact on your team. Software Delivery Intelligence is a tool that helps developers accelerate their delivery. It correlates development pipeline data (code, git, projects and CI/CD) to provide visibility, context, and workflow automation for each member of the team.

Velocity provides detailed, contextual analytics that enable engineering leaders to help their team members, resolve team roadblocks and streamline engineering processes. Engineering leaders can get actionable metrics. Velocity transforms data from commits to pull requests into the insights that you need to make lasting improvements in your team's productivity. Quality: Automated code reviews for test coverage, maintainability, and more so you can save time and merge with confidence. Automated code review comments for pull requests. Our 10-point technical debt assessment gives you real-time feedback so that you can focus on the important things in your code review discussions. You can get perfect coverage every time. Check coverage line-by-line within diffs. Never merge code again without passing sufficient tests. You can quickly identify files that are frequently modified and have poor coverage or maintainability issues. Each day, track your progress towards measurable goals.

Amazon CodeGuru is an innovative developer tool utilizing machine learning to offer insightful suggestions for enhancing code quality and pinpointing the most costly lines of code in an application. By seamlessly incorporating Amazon CodeGuru into your current software development processes, you can benefit from automated code reviews that identify and optimize these costly code segments, ultimately leading to reduced expenses. Additionally, Amazon CodeGuru Profiler assists developers by revealing the most resource-intensive lines of code, complemented by detailed visual aids and practical advice for refining the code to achieve cost savings. Furthermore, Amazon CodeGuru Reviewer leverages machine learning to detect significant problems and elusive bugs throughout the application development cycle, thereby elevating the overall quality of the code. This comprehensive approach not only streamlines development but also fosters a more efficient and cost-effective coding environment.

For a considerable duration, understanding project analytics was both challenging and labor-intensive, necessitating the export of data from various productivity platforms into spreadsheets. Screenful emerges as a solution that streamlines this cumbersome process by automating the manual tasks associated with analytics. With its impressive dashboards, tailored charts, and scheduled reports, you can effortlessly obtain any metrics you require at a moment’s notice. The platform allows you to monitor ongoing projects and recently resolved issues while also enabling you to track your story cycle time, average lead time, and identify any bottlenecks in the workflow. By keeping a close eye on waste, you can measure completed work against remaining tasks. Furthermore, it provides forecasts that are based on your team's past performance. Insights can be effortlessly shared using public or private links, or communicated via email or Slack on a personalized schedule. Screenful also facilitates the seamless integration of new tools and data sets into your analytics workflow. To create a custom chart, simply navigate to the Charts tab and select the option to add a new chart located in the upper right corner; this will open a modal displaying various chart templates. You have the flexibility to design a chart from scratch or to choose from a selection of predefined options, ensuring that your data visualization needs are met efficiently. This adaptability makes Screenful an essential tool for enhancing project management and analytics practices.

Tara AI is a platform that helps modern software teams manage their product development lifecycle. Tara AI is reinventing slow, manual product development processes that cause enterprises to lose billions of dollar annually due to inefficiencies in project scoping. F500 companies have large amounts of data in their project management systems and git version control. Tara AI connects via an API to this data and uses ML models to predict how to build their software (technical tasks), the time it will take to complete a project (timeline), and who will execute it (team) when a new project is started.

Allstacks uses machine learning models to analyze software delivery life cycle data for delivery risks, insights, and projected outcomes for engineering stakeholders. Our value stream intelligence platform provides insights across all your projects and tools. Gathering and analyzing past work data and behavior from the tools your team is already using from the most common engineering software in the market. Extremely simple, you are up and running in less than two minutes. Allstacks aggregates all of your tools and data into a single and straightforward platform so you can accelerate your engineering team’s ability to deliver great software products.

All developers can be found in one place. Find out who contributed code to Bitbucket over the past month, week or day. You can see the stats and dynamics of each developer to find out who has been the most active. You can capture the history of your project as lines of code. Add, delete, and total. All changes to the code made by developers on the project are combined for a bird's-eye view and a new perspective when planning and reviewing retrospectives. You can see the progress of your team and identify bottlenecks. You can choose the metrics that best suit your needs: commits or lines of code added/removed. To see the summaries of commits in a repository, or project, you can look at the hour and day of the week to see when the work was completed. Select the time period for the graph to determine which commits should be counted, whether they were made by one developer or several developers. You can view the calendar listing all contributions made by a given developer in the past year.

Monitor software deployments across your remote team’s entire DevOps framework. Enhance system availability and prevent issues linked to changes before they are released. Offer insights for you and your stakeholders into the effectiveness of your deployments by utilizing historical data and dashboards that showcase performance trends. Achieve comprehensive visibility and reporting throughout your team’s DevOps ecosystem, ensuring that everyone is aligned and informed. This proactive approach fosters a culture of accountability and continuous improvement within your team.

Teamplify is a productivity tool that software development teams can use. Team Analytics allows you to track the pulse of your team. Smart Daily Standup saves you valuable meeting time. Effortless Time Tracking allows you to track how long it takes to complete tasks. Time Off management makes it easy to plan ahead. Uses your existing team tools - GitHub Jira, Slack Zoom, Google and others - 12 integrations available.

Faros AI combines all your operational data from multiple sources and enhances them with machine learning signals. The Faros AI Engineering Operations Platform allows you to harness this data so you can accelerate productivity, and better manager your engineering operations. 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.

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.

Logilica provides software engineering intelligence platform for modern development teams that need to move fast. Logilica provides end-to-end visibility across the software lifecycle to improve engineering effectiveness and deliver predictably. Engineering leaders love Logilica's out-of-the box insights coupled with their embedded analytics for custom metrics and reporting.

Plandek is an intelligent analytics platform that empowers software engineering teams and leaders to deliver value faster and more predictably. Celebrated by Gartner and Forrester as a 'leading global vendor', Plandek mines data from delivery teams’ toolsets and gives them the opportunity to optimise their delivery process using both intelligent insights and predictive analytics.

Enhance your project's visibility, remove obstacles, and accelerate delivery timelines. By integrating data from your Git repositories alongside project management tools, we produce straightforward reports filled with actionable insights and metrics. Identify and address bottlenecks within your teams promptly to prevent delays in delivery. Analyze key factors such as merge request cycle times, high-risk merge requests, and periods of team inactivity. Monitor improvements in processes to ensure that your modifications are effective, eliminating the need for guesswork. Create a truly agile engineering environment by effortlessly pinpointing overworked or impeded developers and providing them with the necessary support. Enjoy the benefits of a business intelligence tool without the hassle of defining and calculating metrics. Additionally, design personalized dashboards that highlight the metrics and visualizations most relevant to your needs. Shift your focus toward enhancing team and project outcomes rather than solely managing developer productivity. Leverage research-backed DORA Metrics to gain insights into the speed and reliability of your projects, ensuring continuous improvement. Ultimately, this approach fosters a more engaged and efficient development team.

Discover an innovative approach to assess technical debt and code quality that caters to both engineering executives and non-technical managers alike. By harnessing the latent capabilities of your team, you can gain crucial insights that enhance product delivery. With Duecode, you remain in sync with your team’s progress, receiving up-to-the-minute information about software quality and identifying your top contributors. This platform provides essential visibility into each developer's workflow and highlights potential vulnerabilities in your project's code. You don't need any technical background to grasp the intricacies of your project’s performance. Through the analysis of an impressive 2.5 billion lines of code and 172,000 repositories, we have distilled code quality into a simple letter ranking system. Enhance the transparency of your project's technical debt with Duecode, enabling you to identify challenges early and address them effectively. Additionally, maintain your codebase's integrity by pinpointing excessive commits and averting disarray within your code structure. By adopting this proactive approach, your team can ensure sustained software excellence and innovation.

Eliminate the obstacles in your workflow that are hindering efficiency and get your project on track. To discern reality from misconceptions, keep a close eye on cycle times and gauge your advancement. Pinpoint the quick wins; consider what straightforward adjustments could enhance your workflow. Assess where bottlenecks are occurring and prepare for potential risks. Be vigilant about those Hot Fix Pull Requests that may skip the review stage, as they could introduce unforeseen complexities. Our platform is user-friendly and adaptable, with all metrics tailored to fit the unique dynamics of your team and processes. Cultivating high-performing teams relies on fostering a data-driven environment and embracing continuous improvement (CI) through collaborative metrics that highlight team capabilities beyond mere job titles. A data-centric culture not only boosts team retention and satisfaction but also drives overall success. Promote teamwork, uncover knowledge silos, and identify when your team functions at its best. Additionally, prioritize investing in your team's education and growth by addressing their skill gaps and aligning with their interests for a more engaged workforce. This commitment to development will ultimately lead to sustained improvement and innovation.

There are ways to improve the efficiency of your engineering organization without compromising quality or culture. Tools and insights for high-performing engineering teams. It is difficult to improve what you don’t measure. To unblock the flow and align engineering with business goals, use key engineering metrics. This will allow you to drive continuous improvement. Identify and remove any blockers. Transparency is the key to insight. Get visibility into your engineering process with insight into flow and velocity, CI/CD practice, code quality, and many other factors. The roadmap doesn't reflect up to 60% of all work. Swarmia helps teams to focus on the most important initiatives by showing the impact of unplanned work, bugs and scope creep on their plans. The best teams are always improving. Adopting and measuring the best-performing working agreements will help you build new team habits. Allowing teams to do their best work.

Hatica provides actionable analytics and workflows that empower engineering teams to be their best. Combine git, project and collaboration data to gain insights into dev workflows that will help your engineering teams do their best work. Track Pull requests metrics from open through deployment, along with code-review metrics, to identify bottlenecks or opportunities for improvement. Metrics such as deployment frequency, MTTR and change failure rate can be used to measure DevOps performance. A centralized dashboard that displays aggregated activity and metrics from git, project management and CI/CD tools, which act as a proxy for progress and performance, allows you to view the data. You can gain insight into the allocation of effort by engineering teams to align them with business goals. Hatica consolidates all work activity and progress in a central dashboard, giving visibility into where your teams are working and what they are facing.

Keypup's Development Intelligence layer prioritizes insights from engineering operations, allowing users to delve into, analyze, and tailor real-time development information into a variety of customizable formats such as reports, visualizations, KPI widgets, and dashboards. This capability empowers organizations to contextualize data instantly, enhance governance, and drive growth effectively. Aiming to establish itself as the leading force in development intelligence, Keypup equips engineering teams and software development stakeholders at every level with the tools to better comprehend their development activities. This understanding is crucial for scaling technical organizations without sacrificing quality or efficiency, ultimately resulting in quicker time to market and sustainable growth. Furthermore, the platform fosters collaborative decision-making and strategic planning, ensuring that all team members are aligned in their objectives and approaches.

Middleware alleviates the burden of constant follow-ups for engineering managers, ensuring seamless product delivery while pinpointing workflow obstacles to eliminate any disruptions for their teams. By integrating with existing tools such as GitHub, Calendar, and Jira, Middleware equips managers with valuable insights that promote efficient team management and help safeguard engineers from exhaustion. It offers a consolidated view that emphasizes critical areas needing attention, whether they relate to project delivery or team dynamics. By analyzing pull requests, Middleware can identify which reviewers may be causing delays or if the team is frequently waiting for feedback on their code changes. Additionally, it highlights instances where team members may be overloaded with meetings and deadlines, thus safeguarding against burnout or disengagement. The Middleware 1:1 feature provides a comprehensive overview of each developer's performance, enabling managers to monitor growth areas and set goals effectively, ultimately fostering the professional development of their engineers. This holistic approach ensures that both the productivity and well-being of the team are prioritized, creating an environment conducive to success.