7 Best Alternatives to Linear

I recommend Jira when the problem isn’t “tracking issues” but “standardizing process across teams.” An ops lead can define a company-wide workflow, lock it down with project roles/permissions (missing on Jira’s Free plan), and still let each team keep its own board and sprint cadence. If you’re supporting multiple products, Advanced Roadmaps + capacity management on Premium gives you a way to map epics across teams and see who’s overloaded before sprint planning. The automation quotas are explicit (100 runs/month on Free; 1700 on Standard), so I can budget how many status transitions or Slack notifications I’m willing to automate. Jira also shines if you already live in the Atlassian ecosystem, Confluence pages, Bitbucket repos, and Marketplace apps tend to plug in without custom glue code. For regulated teams, the Premium 99.9% uptime SLA and audit logs help when you’re asked who changed a workflow and when exactly, even last quarter.

Linear is opinionated around issues, projects, cycles, and initiatives, with a Free plan capped at 250 issues and 2 teams; its Basic plan is $10/user/month (annual) and mainly removes those caps. Jira goes the opposite direction: you start by defining issue types, custom fields, and a workflow with statuses and transitions, then power everything with JQL and permissions. Jira’s Free plan is limited to 10 users, 2 GB storage, and no per-project permission settings; automations are capped at 100 rule runs/month on Free, 1700 on Standard, and on Premium you get 1000 rule runs per paid user/month. Where Linear gives you “Cycles”, Jira uses Scrum sprints/backlog and can extend to portfolio planning with Advanced Roadmaps and capacity management on Premium. Jira also leans on Marketplace apps and Atlassian Access/Guard for SSO + centralized admin. On Premium you also get a 99.9% uptime SLA and unlimited file storage, both published as plan-level guarantees.

I point teams to GitHub when engineering wants one place for repo permissions, code review, and the backlog. A solo maintainer can label issues, triage with saved searches, and ship by merging PRs that include “Fixes #…” to close work automatically. For a startup, GitHub Team at $4/user/month is often enough: you get org/team management plus the same Issues/Projects surface everyone already visits for pull requests. Enterprise ($21/user/month) starts to matter when you need identity-driven control, Enterprise Managed Users, SAML/SCIM provisioning, and an enterprise account to govern multiple organizations. I also like the security workflow: Dependabot opens update PRs, and you can discuss remediation in the same thread as the failing CI checks from GitHub Actions. If your product work is inseparable from the codebase, GitHub reduces “sync meetings” because the artifact and the task live together. I usually pair it with Projects custom fields for priority, owner, and target release.

Linear is a dedicated product-ops tracker: you get cycles, a triage queue, issue SLAs, and API/webhooks in a single workspace, with Business at $16/user/month (annual). GitHub flips the model, issues and projects are attached to repositories, and work items naturally link to commits, branches, pull requests, and code review. The killer mechanic is “closing keywords” (e.g., “Fixes #123”) in a PR description, which auto-closes the issue on merge. For planning, GitHub Projects gives you table and board views with custom fields, but it doesn’t try to replace cycle rituals the way Linear does. Pricing is different too: GitHub Team is $4/user/month and Enterprise is $21/user/month, and Enterprise adds controls like Enterprise Managed Users plus SCIM provisioning and an enterprise account for managing multiple orgs. If your backlog needs to follow the codebase, GitHub feels like the source of truth. I also like that Dependabot alerts sit next to the vulnerable pull request.

GitLab is the alternative I choose for platform teams who are tired of stitching together tracker + CI + security scanners. A small dev team can start on GitLab.com Free and still get Issue Boards, Merge Requests, and built-in CI/CD with 400 compute minutes/month and 10 GiB of storage per project. When the organization grows, Premium ($29/user/month billed annually) gives you 10,000 compute minutes/month and adds collaboration controls like SLA management and priority support. Ultimate adds governance-heavy capabilities, application security testing, vulnerability management, and compliance features, so a security lead can centralize findings where the code lives. The big difference versus Linear is that planning and execution share artifacts: an issue can link directly to the branch, pipeline, and deployment job that implemented it. If “tool sprawl” is blocking shipping, GitLab is the consolidation move. I also like that Ultimate includes 50,000 compute minutes/month, which matters when pipelines run on every commit.

Linear stays focused on tracking work: issues, projects, cycles, initiatives, plus triage and stakeholder intake (Slack/email) on higher plans. GitLab bundles planning with the delivery system: the same place you create an issue is where you open a Merge Request and run CI/CD pipelines. On GitLab.com, the Free tier includes built-in CI/CD with 400 compute minutes/month and 10 GiB storage per project; Premium is $29/user/month billed annually and bumps compute minutes to 10,000/month while adding team project management, SLA management, and priority support. Ultimate is custom-priced and layers on security and governance features like application security testing, vulnerability management, and compliance tooling, plus 50,000 compute minutes/month. Compared with Linear’s “best-in-class tracker” approach, GitLab is closer to an all-in-one DevSecOps suite, great when tooling sprawl is the real problem. Premium and Ultimate also include monthly GitLab Credits ($12 or $24 per user) to try GitLab Duo Agent Platform workflows inside the UI.