The open Jira alternative.

Jira Data Center becomes read-only in March 2029.

Atlassian stops selling and expanding Data Center licenses in March 2028, and the platform becomes read-only in March 2029. Review the timeline and test a self-hosted path before those dates.

• March 28, 2029

Keep your projects, fields, and workflows.

Projects, work items, fields, statuses, workflows, boards, backlogs, sprints, releases, hierarchies, calendars, roadmaps, and milestones stay in one system.

Teams keep the concepts and terminology they already use, without rebuilding every process at once.

Keep tests beside the requirements they verify.

Write reusable test cases, assemble test runs, record results, and link each result to the requirement it verifies.

Delivery and validation share one history and one owner.

Keep time entries attached to the work that created them.

Start a timer or enter time manually, separate billable and internal effort, allocate it to projects and customers, and review the result in reports.

Planning, delivery, and reporting use the same work record.

Send customer requests straight into delivery.

Customers get a branded place to submit requests and follow updates. Your team works from the linked work item.

One request ID connects the customer conversation to internal work. There is no second service desk to reconcile.

Bring repository activity into the work item.

Connect GitHub, GitLab, Gitea, Forgejo, or an AI client, and extend Windshift through the REST API, webhooks, plugins, or the ws CLI.

• GitHub
• Gitea
• Forgejo
• Omni
• REST API
• Webhooks
• Plugins

Follow a change from assigned work to review.

Create a linked branch from a work item or let the item key connect existing branches, commits, and pull requests automatically.

The work item keeps the repository, change, and current pull-request state together.

Decide how the platform operates.

Identity, extensions, AI, storage, and deployment stay under your control.

Run the single binary with SQLite by default, connect PostgreSQL when needed, or use Docker. Your team remains responsible for backups, HTTPS, secrets, monitoring, and upgrade scheduling.

See the destination before you migrate.

Import a representative Jira Cloud or Data Center project, inspect the result in Windshift, and decide on rollout with your own work in front of you.

• Import a representative project
• Check the context that matters
• Pilot before rollout

Replace Jira without starting over

Keep the concepts your teams already know and bring the work and context they rely on with them.

• See how Windshift compares with your current Jira deployment.
• Compare with Jira Cloud
• Compare with Jira Data Center

Put your organization back in control

Decide where work data lives, when the software changes, and which AI services your teams use and pay for.

Familiar concepts. A platform you control.

Windshift uses the concepts Jira teams already know, so replacing the platform does not mean reinventing how your work is organized.

• Projects, work items, and hierarchies
• Custom fields, statuses, and workflows
• Boards, backlogs, sprints, and releases

Bring your Jira data with you

Windshift imports the work and context your teams rely on, instead of reducing a migration to a flat list of issues.

• Projects, issues, comments, attachments, and worklogs
• Boards, sprints, custom fields, and field values
• Assets schemas, object types, and asset-backed fields

Keep data governance in your hands

Choose the infrastructure and region. Control where work data lives and who processes it.

Control when the platform changes

Test upgrades, coordinate maintenance windows, and avoid unannounced changes to interfaces and workflows.

Make AI costs understandable

Avoid opaque credit systems. Use a local model or your own provider account, and keep model choice and spend under your control.

Replace Jira when you are ready.

Download Windshift, run it on your infrastructure, and evaluate it with real projects and real data.