LinearB might seem like the go-to tool for tracking development workflows, but is it the best fit for your team? The right tool should offer you more than just tracking basic metrics. It should help you make informed decisions that improve team productivity and drive better results.
You're not alone if you’ve ever felt limited by rigid reports, complex integrations, or a lack of flexibility. Many teams are looking for alternatives that offer real-time insights into their development process.
In this guide, we’ll break down the 10 best LinearB alternatives to help you find a solution that genuinely supports your team’s goals. So, let's get right to it!
What Is LinearB?
LinearB is an engineering analytics tool for tracking team performance, reducing bottlenecks, and improving development workflow. It analyzes Git data, Jira tasks, and CI/CD pipelines and provides real-time metrics to spot inefficiencies and make better decisions.
Here are the key features LinearB offers:
- Cycle time tracking: Helps you break down coding, review, and deployment stages to measure efficiency.
- Developer workflow optimization: Allows you to identify bottlenecks and provides team health reports.
- Project delivery forecasting: With it, you can detect risks and focus on sprint planning.
- DORA metrics tracking: Helps you monitor deployment frequency, lead time for changes, change failure rate, and failed deployment recovery time.
While LinearB gives valuable insights, it may not always fit your team's needs. Many software teams look for alternatives that offer more flexibility and deeper analysis.
Why Use LinearB?
If you lead an engineering team, you need a tool to simplify tracking and help you spot inefficiencies quickly. LinearB offers features to improve developer productivity, like automated reporting and highlighting issues in your development pipeline.
Here’s why some teams choose LinearB:
- Automated workflow tracking: Cuts down on manual reporting so you can focus on actual work.
- Improves delivery performance: Shows you exactly where bottlenecks are slowing your team down.
- Supports DORA & other Agile metrics: Helps you measure progress and align with Agile industry standards.
- Visual dashboards: Transform raw data into clear, easy-to-read insights for better decision-making.
- Seamless integrations: Works with Jira, GitHub, GitLab, Bitbucket, Slack, and CI/CD tools, so you don’t have to change your workflow.
LinearB Limitations: Why Look for Alternatives?
LinearB offers helpful insights but may not always meet your team’s needs. Many engineering leaders find that its limitations create roadblocks rather than solutions. Strong alternatives are available, whether you need custom metrics, better integration options, or more advanced forecasting.
Here are some of the common challenges teams face with LinearB:
Limited Flexibility in Customization
Your team has unique workflows, but LinearB’s predefined reports and dashboards might not fully adapt to them. You don’t get the granular control to filter data or tweak metric calculations to match your engineering process.
Over 80% of buyers say customizability is a key factor when choosing software. This could be a major drawback if your team relies on custom dashboards and tailored reports.
Requires Strong Integration with Jira for Full Functionality
If your team depends on Azure DevOps or GitLab, you might find that LinearB doesn’t integrate as well as you’d like. Since it leans heavily on Jira for issue tracking and progress updates, teams using other popular tools may struggle to get the same level of real-time visibility into their projects.
No Built-In AI/ML Forecasting for Software Delivery
Engineering teams looking for actionable insights to predict project risks may find LinearB lacking. While it tracks data, it doesn’t use AI or machine learning to forecast delays or identify potential blockers before they happen.
If you want smarter predictions, tools like Axify and Jellyfish offer forecasting features to help you stay ahead of risks and improve development velocity. Axify also has a built-in AI assistant that you can chat with to better understand your data and the platform.
Pricing Can Be Restrictive for Growing Teams
LinearB’s pricing structure starts at $2,450/month, the equivalent of 50 contributors at $49 each. But here's the catch: even if your team has fewer than 50 contributors, you’ll still be charged for all 50, with no discount. Plus, there’s no monthly billing, only annual contracts.
This all-or-nothing pricing can be a blocker for smaller or scaling teams. Platforms like Axify offer more flexible plans that grow with your team without forcing you to overpay upfront.
Steep Learning Curve
For teams new to engineering analytics, LinearB can take time to master. A 2023 survey on AI tools in coding found that 36.6% of developers avoided AI tools due to a steep learning curve, while 14.6% were concerned about the time required to learn them. While this study is about AI tools specifically, we can imagine similar concerns apply to development tools in general. Complex setups, unfamiliar workflows, and the need for extensive documentation can slow adoption.
If your team doesn’t have the bandwidth to handle complex dashboards and workflows, onboarding this tool could slow you down.
Limited Benchmarks and Historical Data
Tracking continuous improvement is difficult if you don’t have enough historical data to compare against. Some users report that LinearB lacks external benchmarks, which makes it harder to measure long-term trends or compare your team’s performance to industry standards.
What to Look for in LinearB Alternatives
Not all engineering teams have the same needs, so the best LinearB alternative depends on what works for your setup. The features below serve as a starting point, but don’t just check boxes. Instead, consider how these tools will fit into your engineering efforts and daily workflows.
Pro tip: Make sure the base features below meet your needs. For example, measuring lead time for changes can vary depending on your team’s branching strategy. If your team usually links coding tasks to tickets late or skips linking them entirely, some tools may miss key steps in the delivery timeline. That’s why you should always choose a tool that reflects how your team actually works.
Here’s a breakdown of the key features to look for and why they matter:
Feature |
Why It Matters |
DORA & Flow Metrics |
Helps track essential metrics related to velocity, quality, and team productivity. |
Integration with Git, CI/CD, and Project Management Tools |
Ensures seamless data collection from GitHub, GitLab, Bitbucket, Jira, Trello, and Azure DevOps. |
Engineering Insights |
Transforming metrics into engineering impact |
Continuous Improvement Features |
Good examples include Value Stream Mapping, software delivery tracker, and resource allocation that help you optimize the workflow as a whole |
Cost-Effective Pricing |
Competitive pricing without sacrificing essential features. |
Best LinearB Alternatives
Finding the right alternative to LinearB depends on what your team needs most: real-time workflow tracking, better forecasting, or more flexible reporting. Below, we'll break down the top alternatives and highlight each tool’s key differentiator so you can choose the best fit for your team.
1. Axify: Best for Real-Time Workflow Tracking
Axify helps you see the full picture of your development process. It offers comprehensive engineering metrics with business-focused insights, making it easier to track progress, remove bottlenecks, and align your engineering work with strategic goals.
Axify’s unique selling points include:
- Value stream management: Stop guessing where work gets stuck. Now, you can track epics, features, and issue cycle time breakdowns. With LinearB, you can only track the cycle time breakdown for pull requests.
- Business impact metrics: You can also connect your engineering work to tangible business outcomes, like feature costs and delivery efficiency.
- Accurate DORA metrics: You won't have to second-guess your data. Axify offers precise deployment tracking, even for incidents outside your issue tracker.
- Developer experience insights: With Axify, you can monitor your team’s morale with daily developer surveys and engagement tracking.
Besides, Axify guarantees no repository cloning, tracks deployments from sources other than Source Control Management, supports on-premise integrations with custom development, and offers dedicated performance optimization guidance.
Unlike LinearB: Axify offers fast onboarding and seamless integration, helping you improve your engineering workflows without the complexity. If you need quantitative insights to be more strategic and see a holistic view of your value stream beyond pull requests, Axify is your top LinearB alternative.
2. Jellyfish: Best for Gen AI-Driven Insights and Software Capitalization
Jellyfish is an engineering management platform that focuses on business alignment and financial planning rather than developer workflows. Its unique features include software capitalization, budget forecasting, and cost allocation. However, it’s better suited for CFOs and finance teams rather than hands-on developers.
Here's what Jellyfish offers:
- Business alignment: You can track investment goals and benchmark resource allocation over time.
- Financial reporting: It allows you to analyze costs, forecast budgets, and manage software capitalization efficiently.
- Delivery management: With it, you can get scenario-based planning and AI-driven delivery predictions.
While Jellyfish covers key metrics like DORA and productivity tracking, it lacks deeper workflow insights and team dynamics monitoring. Jellyfish is a strong alternative if you’re looking for a tool that connects engineering to financial goals.
Unlike LinearB: Jellyfish offers more than just engineering analytics because it provides you with financial compliance, budgeting tools, and strategic planning.
3. Code Climate Velocity: Best for Data Hygiene & Developer Analytics
Code Climate Velocity is worth considering if you’re looking for an engineering analytics platform that helps you maintain code quality and consistency. It helps you focus on developer metrics rather than strategic planning, so it highlights individual contributions rather than overall workflow efficiency at a team level.
Here's what Code Climate Velocity offers:
- Developer-focused analytics: Helps you track coding trends, PR throughput, and collaboration patterns.
- Code health monitoring: The platform allows you to catch potential quality issues before they become technical debt.
- Basic dashboards: Provides you with visibility into developer output but lacks deep forecasting tools.
Unlike LinearB: Code Climate offers valuable insights, but it doesn’t include workflow automation, DevOps coaching, or advanced planning features. You may want to try other options if you need better visibility into your team's performance, planning, and delivery predictability.
4. Haystack: Best for Detecting Software Delivery Risks
Haystack helps you stay ahead of delivery risks by allowing you to identify blockers before they slow your team down. If you're dealing with delivery bottlenecks, missed deadlines, or unexpected slowdowns, Haystack automatically flags risks in your sprints, issues, and pull requests. It delivers alerts straight to Slack so you can take action immediately.
Haystack offers you:
- Automated risk detection: You can spot patterns like overloaded teams, stalled PRs, and hidden blockers before they cause delays.
- Customizable risk thresholds: You can define what counts as a blocker and fine-tune alerts based on your priorities.
Unlike LinearB: Haystack gives you a streamlined way to manage risks without the extra noise.
5. Swarmia: Best for Software Capitalization Tracking
Swarmia is designed for finance and accounting teams that need audit-ready cost capitalization reports. Instead of manually compiling engineering efforts for financial reporting, Swarmia automates software capitalization tracking, making it easier to align development costs with corporate goals.
Swarmia offers:
- Finance-ready reporting: Helps you track capitalizable work using flexible rules and exports reports with a single click.
- Real-time data accuracy: You'll work with comprehensive insights by capturing engineering efforts as they happen.
- No extra overhead: It runs in the background without disrupting your team’s workflow.
Unlike LinearB: While Swarmia helps with your workflow at a high level, it doesn’t focus on day-to-day team processes or engineering productivity improvements. If your primary goal is accurate financial reporting, Swarmia is a strong alternative.
6. Waydev: Best for AI-Driven Git Analytics & Code Review Automation
Waydev is an engineering optimization platform designed to automate Git analytics and improve code reviews. If you want to streamline pull request reviews, enhance development efficiency, and track AI adoption, Waydev’s AI-driven insights can help your team work smarter, not harder.
Waydev offers:
- AI-powered code reviews: It helps you automate PR analysis to spot inefficiencies and improve review quality.
- Customizable Git analytics: You can track developer activity, cycle times, and commit frequency without adding extra workload.
- Deep integration with dev tools: Waydev works with code repositories, issue trackers, and CI/CD pipelines to offer comprehensive visibility.
If your team prioritizes automation and AI-driven insights, Waydev provides a data-rich environment to enhance your software development processes.
Unlike LinearB: Waydev offers on-premise solutions, AI agents, PR insights, and over 200 integrations. However, LinearB focuses on team efficiency monitored through tracking delivery metrics rather than individual productivity stats. By comparison, Waydev provides more granular insights into individual developer metrics than LinearB, such as the total number of individual commits made by a developer.
7. Allstacks: Best for Predictive Risk Assessment & Alerts
Allstacks is a software engineering intelligence platform that helps you identify delivery risks before they impact your timeline. Its AI-driven risk assessment detects potential roadblocks so you can take action early.
If your priority is predicting project delays and improving delivery consistency, Allstacks provides:
- AI-powered risk alerts: It helps you identify bottlenecks before they escalate.
- Delivery forecasting: Allstacks uses historical data to predict potential delays and timeline shifts.
- Basic engineering metrics: You can track progress at a high level, but the platform lacks the in-depth automation features of other platforms.
Unlike LinearB: Allstacks focuses on risk forecasting rather than workflow automation or deep engineering visibility. If you need a tool focused on risk detection and forecasting, Allstacks is a solid option. However, it may not provide the same level of automation or long-term strategic insights as other alternatives.
8. Pluralsight Flow: Best for Developer Skill Tracking & Training Recommendations
Pluralsight Flow offers engineering analytics and skill development to help you track progress and provide personalized learning recommendations for your team. If you’re focused on advanced engineering management, this tool offers structured insights into individual and team performance.
It provides:
- Developer performance insights: You can track progress through customizable dashboards and identify areas for growth.
- Skill-based training recommendations: With it, you can get tailored learning paths to help engineers upskill efficiently.
- Code review & collaboration metrics: It allows you to spot knowledge silos and encourage better team collaboration.
Unlike LinearB: LinearB focuses on real-time efficiency and automation, whereas Pluralsight Flow is designed for long-term skill development and team coaching. If you want to develop your team’s skills alongside performance tracking, Pluralsight Flow offers a data-driven approach to coaching and continuous learning.
9. Typo: Best for AI-Powered Code Review & Knowledge Management
Typo combines developer workflow tracking with AI-enhanced code reviews to help you ship cleaner, more maintainable code faster. If you’re looking for a tool that automates code analysis and improves knowledge sharing, Typo provides real-time AI-driven insights to enhance your development process.
Key features include:
- AI-powered code analysis: It automatically detects issues and suggests context-aware fixes before merging.
- Automated pull requests: The platform instantly generates PRs for you with improved solutions and reduces review cycles.
- Knowledge management: Typo helps your team collaborate better by flagging bottlenecks and highlighting patterns in development.
Unlike LinearB: LinearB focuses on workflow automation and team metrics, Typo takes it further with intelligent code review and auto-fixes. If code quality and streamlined collaboration are priorities for your team, Typo is an excellent AI-driven alternative.
10. Sleuth: Best for Automated Deployment Tracking & Change Failure Rate Monitoring
Sleuth provides automated insights to help you track change failure rates, deployment success rates, and CI/CD pipeline health. If you need a deployment-focused tool to help identify risky changes before they cause issues, Sleuth provides real-time tracking and historical context to improve stability.
Key features include:
- Automated deployment monitoring: It helps you track every deployment to spot risky releases before they escalate.
- Change failure rate analysis: Sleuth identifies patterns in failed deployments so you can make data-driven improvements.
- CI/CD health insights: The platform monitors your pipeline efficiency to help your team reduce downtime and improve continuous delivery.
Unlike LinearB: Sleuth focuses more on deployment health and failure recovery. If your priority is minimizing deployment failures and maintaining a smooth CI/CD pipeline, Sleuth is a strong alternative.
How to Choose the Right LinearB Alternative for Your Team
With so many engineering analytics tools available, picking the right one depends on what matters most to your team. Are you focused on real-time workflow tracking, deployment success, or broader business insights? Each platform has its strengths, so it's important to choose one that fits your processes, goals, and growth plans.
Here's something that will help you decide based on your engineering priorities:
Team Needs |
Best Alternative |
Best metrics and trends to make workflow improvements |
Axify |
Engineering-business alignment |
Axify, Jellyfish |
Gen AI impact analysis |
Jellyfish |
Budget-friendly tool |
Axify, Haystack |
Software Capitalization |
Swarmia, Jellyfish |
Best for data hygiene & developer analytics |
Code Climate Velocity |
Best for detecting software delivery risks |
Haystack |
Best for AI-driven Git analytics & code review automation |
Waydev |
Best for predictive risk assessment & alerts |
Allstacks |
Best for developer skill tracking & training recommendations |
Pluralsight Flow |
Best for AI-powered code review & knowledge management |
Typo |
Best for automated deployment tracking & change failure rate monitoring |
Sleuth |
Wrapping It Up
Finding the right engineering analytics tool depends on your team's needs. Whether you're focused on real-time insights like deployment tracking, financial impact, or code reviews, choosing a solution that aligns with your goals is key.
If you want clear, reliable data translated into business impact, Axify gives you comprehensive engineering visibility and a deeper understanding of your development process. With real-time tracking, team-oriented metrics, and on-premise performance optimization guidance, Axify offers a solid way to improve your workflows and delivery.
Ready to see how Axify can help your team? Book a demo today!