Comparisons anchored on OpenProject, the GPL-3.0 project management platform with a Community and an Enterprise edition.
Modern open-core project management against a volunteer-run classic: OpenProject's Community edition and Enterprise add-ons such as SSO and portfolio views versus Redmine's free GPL core and plugin model, with a verdict by team size, SSO needs and migration effort.
Classic project management with Gantt charts against a newer issue tracker in the Jira and Linear mold: both AGPL or GPL community editions with paid tiers, compared on SSO and LDAP placement, Jira import, deployment stack and fit for engineering versus mixed teams.
For teams leaving Jira or an old tracker and weighing three self-hosted options: licensing and paid features, stack, importers and SSO side by side, with a pick by team type.
OpenProject Community against the Enterprise plans: what the free edition includes, which features start at Basic, Professional, Premium and Corporate, multi-year discounts, and how the 14-day trial token on a self-hosted install reverts to Community.
OpenProject Enterprise cloud run by OpenProject against Community or Enterprise on your own servers: where cloud data is hosted and the EU shard, what OpenProject manages, which plans and features are on-premises only, custom domain cost, and the upload path from a Community install to cloud.
For teams choosing a self-hosted agile tool: OpenProject's broad project portfolio, Gantt and Enterprise add-ons against Taiga's Scrum and Kanban focus, MPL-2.0 back end, Docker-only production setup and Jira, Trello and GitHub importers.
OpenProject against Leantime for teams without dedicated project managers: what each free edition includes, which features sit in OpenProject Enterprise or Leantime's paid plugins, SSO options, and the PHP versus Ruby stack you would run.
Which OpenProject install method to standardize on: the recommended Docker Compose setup, DEB and RPM packages on a limited set of distributions, the single all-in-one container, or the Helm chart for larger Kubernetes deployments, and what each means for upgrades and backups.
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