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Comparison💻 For coders

Linear vs Jira vs GitHub Issues

Three issue trackers that look similar on paper but serve completely different teams — here is how to pick the one that will not slow you down.

Updated Aug 24, 20266 min read

Issue trackers are one of those tools you stop noticing until you are on the wrong one. A slow, overbuilt tracker creates a real tax on every sprint — tickets that take 30 seconds to file, boards that load sluggishly, searches that return garbage. Conversely, a tracker that is too lightweight creates its own tax: missing sprint planning, no velocity tracking, no way to tie work to releases. The right answer depends almost entirely on who your team is and what you already use.

At a glance

LinearJiraGitHub Issues
PriceFree (250 issues) / $8/user/mo ProFree (10 users) / $7.75/user/mo Standard / $15.25/user/mo PremiumFree (public) / $4/user/mo GitHub Team
Free tier250 issues, 3 membersUp to 10 users, core featuresUnlimited for public repos, 3 private collaborators free
Speed / UXExcellent — keyboard-first, instantSlow — notoriously heavySimple but minimal
Sprints / CyclesYes (Cycles)Yes (Sprints — full-featured)No
RoadmapsYesYes (Premium)GitHub Projects (basic)
GitHub integrationExcellent (native)Good (plugin)Native (it is GitHub)
Time trackingNoYes (paid add-on)No
Advanced reportingBasicExcellentNo
Best team sizeStart-up to ~200Mid-size to enterpriseOpen source / small teams
Self-host optionNoYes (Data Center)GitHub Enterprise Server

Linear — fast and opinionated by design

Linear is what happens when engineers who are frustrated by Jira build their own tool. Everything about it is optimized for speed: keyboard shortcuts for every action, instant search, sub-100ms interactions. Hitting “C” to create an issue and typing naturally feels faster than clicking through any other tracker. The aesthetic is deliberately minimal and stays out of your way.

  • Cycles (sprints done right): Linear’s version of sprints is streamlined — start a cycle, drag issues in, move on. No ceremony around estimation or story points unless you want them. You can also add story points without making them the center of your process.
  • GitHub integration: Linear connects to GitHub natively. Open a PR, mention a Linear issue ID, and the issue moves through your workflow automatically when the PR is merged. No plugin to configure, no webhook debugging.
  • Figma plugin: design and engineering work in the same issues. Designers can create issues directly from Figma and embed frames into Linear cards. Reduces the friction between design handoff and engineering pickup.
  • What it lacks: no built-in time tracking, no advanced reporting or dashboards, and no deep workflow customization (custom fields, custom statuses beyond a point). The opinionated design is a feature — until your process requires something Linear does not support.
  • Free tier reality: 250 issues for a small team is tight if you move fast. You will hit the Pro tier ceiling sooner than you expect. Pro at $8/user/month is competitive but adds up for larger teams.

Jira — the enterprise standard

Jira has been the dominant issue tracker for enterprise engineering teams for two decades. Its reputation for being slow and complex is earned — the default configuration out of the box is genuinely overwhelming. But there is a reason it has dominated: for large teams with complex requirements (compliance, custom workflows, deep reporting), Jira can be configured to do almost anything.

  • Configurability: custom issue types, custom fields, custom workflows with transition rules, automation rules, dashboards, and reporting. If your team has a specific process — bug triage flow, escalation rules, sprint retrospective automation — Jira can probably model it. Other tools cannot.
  • Epics, roadmaps, and capacity planning: Jira’s roadmap view (Premium) connects epics to timelines and allows dependency tracking across teams. For a 50-person engineering org running multiple squads, this overview is legitimately useful.
  • Atlassian ecosystem: Confluence (documentation), Bitbucket (code), and Jira all share authentication, permissions, and cross-linking. If your company already has Confluence wikis and uses Bitbucket or Atlassian’s other products, the integration network is a real advantage.
  • JQL (Jira Query Language): power users search issues with a SQL-like syntax. “project = BACKEND AND status = ‘In Progress’ AND assignee = currentUser() ORDER BY priority DESC” runs in seconds. Custom JQL filters can be saved and shared as team dashboards.
  • The honest trade-off: Jira requires ongoing administration. Someone on your team will spend non-trivial time configuring workflows, managing permissions, and cleaning up the board. For a 10-person startup, this overhead is rarely justified. For a 200-person engineering org, it usually is.
Try this free tool →
Regex Tester
Test custom filter patterns when searching your issues board — useful when writing JQL in Jira or working with Linear's search syntax.

GitHub Issues — where the code is

GitHub Issues is not a project management tool. It is a lightweight issue tracker that lives inside GitHub, right next to your code. For open source projects and developer-first teams whose work is primarily pull requests and code reviews, this co-location is the entire value proposition. Everything links — a PR references an issue, the issue auto-closes when the PR merges, the history is searchable in one place.

  • GitHub Projects (new): GitHub added kanban board and table views on top of Issues. You can group issues into sprints with milestones, filter by label, and track progress. It is genuinely better than it used to be — though still not in the same category as Linear or Jira for sprint planning.
  • Labels and milestones: the native organizational primitives. Labels are flexible (bug, feature, help wanted, v2.0, chore) and milestones group issues into releases. For a project that ships discrete versions, milestones are intuitive.
  • No story points, no velocity: if your team tracks sprint velocity, story points, or cycle time, GitHub Issues will not give you that natively. You would need a third-party integration (ZenHub, LinearB, etc.) to add that layer.
  • Open source superpower: GitHub Issues is where the community lives. External contributors open issues, maintainers triage them, and the discussion stays permanently public and linked to the code. Using Linear or Jira for an open source project means your external community has no natural place to engage.
  • Cost: free for public repos. For private repos, GitHub Team at $4/user/month includes Issues without limits. If your team already pays for GitHub, Issues is functionally free to add.
A direct comparison of Linear and Jira for modern engineering teams, covering speed, workflow, and pricing.

Who should pick which

Which one is right for you?
Pick
Linear
if you run a product engineering team under ~200 people and want an issue tracker that stays out of the way. The speed and UX make it the default recommendation for startups and fast-moving teams.
Pick
Jira
if your company already uses it, you need deep customization (custom workflows, compliance fields, advanced reporting), or your team lives in the Atlassian ecosystem with Confluence.
Pick
GitHub Issues
if you maintain an open source project, your work is primarily pull requests, or your team has no need for sprints and wants the issue tracker built into the place code already lives.

The honest verdict

Starting a new engineering team today? Use Linear. The free tier works for small teams, the experience is genuinely faster, and you can always migrate to Jira later if you grow into enterprise requirements.

At a company already using Jira? The switching cost rarely justifies a migration unless the pain is severe. Make peace with Jira and invest in configuring it well — a properly administered Jira is significantly more tolerable than a neglected one.

Building or maintaining an open source project? GitHub Issues. Your community expects it, it’s free, and the code-to-issue linkage is better than anything a third-party tool provides.

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