Mantis Bug Tracker is a free and open source, web-based bug tracking system. It is written in the PHP scripting language and works with MySQL, MS SQL, and PostgreSQL databases and a webserver. MantisBT can be installed on Windows, Linux, Mac OS, OS/2, and others. Almost any web browser should be able to function as a client.Moreover MantisHub is available as commercial hosted solution of MantisBT.Supports any platform that runs PHP (Windows, Linux, Mac, Solaris, AS400/i5, etc)Available in 68 localizations.Customizable Issue PagesMultiple Projects per instanceSupport for Projects, Sub-Projects, and Categories.Users can have a different access level per projectChangelog SupportRoadmapMy View PageSearch and FilterFull Text SearchSimple/Advanced FiltersShared Filters (across users / projects)Built-in Reporting (reports / graphs)Custom FieldsEmail notificationsUsers can monitor specific issuesAttachments (can be saved on webserver or in database – can also backup to an FTP account)Issue Change HistoryRSS Feeds (news, issues matching saved filters, issues matching a specific project)Customizable issue workflowSponsorships Support – users are able to place bounties or sponsorships for specific issues, also developers can track such sponsorships / payments.Anonymous AccessSignup with Captcha and Email Confirmation.Self-Service Reset Password SupportExport to csv, Microsoft Excel, Microsoft WordAbility to extended functionality through hook (custom) functions.Ability to extended functionality through plugins.Reporting issues via Email (available as a patch for 1.1.x and EmailReporting Plugin for 1.2.x]])Reporting Issues via a custom form on your website (Anonymantis).Source Control Integration (GIT, SVN and CVS).No limit on the number of users, issues, or projects.Wiki Integration (optional)Time TrackingAbility to send messages to messages to other users in regards to a specific issue.
Mantis Bug Tracker is a free and open source, web-based bug tracking system. It is written in the PHP scripting language and works with MySQL, MS SQL, and PostgreSQL data...
Collection time:
2025-09-29
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