Monday.com vs Dootask
DooTask is a reasonable alternative for teams that want an AGPL-3.0, self-hosted project-and-task collaboration system with multiple project views, calendars, documents, dashboards, and built-in communication. Monday.com remains the better fit for organizations needing a broader vendor-hosted work platform with documented dependency and workload planning, external workflow integrations, no-code AI agents, or CRM. The
Decision guide
The practical reasons to choose either option, based on documented capabilities.
Choose Dootask if
- Teams able to operate Docker infrastructure and maintain their own collaboration service
- Project teams using Kanban, table, or list views with task calendars and progress tracking
- Organizations wanting project tasks, collaborative documents, files, and instant messaging in one self-hosted system
Stay with Monday.com if
- Projects require documented dependency mapping or cross-workstream workload balancing; the supplied DooTask material documents task timelines and calendars but not those capabilities
- Teams depend on documented integrations with Slack, Salesforce, GitHub, Zoom, Gmail, or Outlook; comparable DooTask integration coverage is not established here
- Organizations need a no-code AI agent builder with simulation, access controls, and activity logs; DooTask documents chat-based AI and task-list generation instead
Deployment and operations
DooTask is self-hostable under AGPL-3.0 and uses a Docker-based deployment. Its README requires Docker 20.10+ and Docker Compose 2.0+, supports Linux/Unix systems and macOS, recommends at least 2 CPU cores and 4 GB of memory, and includes MariaDB in the default Compose setup. Windows deployment requires a Linux environment through WSL2. Operators are responsible for backups and upgrades; the README provides an update command and explicitly advises backing up first. Kubernetes deployment is not
Migration considerations
No Monday.com importer, export compatibility, or direct migration path is documented in the supplied material. The README only provides a DooTask-to-DooTask instance migration procedure based on a MariaDB backup plus copying application-store and upload directories before restoring the database.
Feature fit
What Dootask covers
- Project and task management
- Task-oriented work tracking
- Multiple project views
- Task calendars and timelines
- Progress dashboards and statistics
- Collaborative documents and files
- Custom project templates
What’s different or missing
- Documented dependency planning
- Documented workload balancing
- Documented external workflow integrations
- No-code AI agent builder
- Sales pipeline and account workflows
- Documented Monday.com importer
Project snapshot
- GitHub stars
- 5,548
- Contributors
- 28
- Language
- PHP
- Last commit
- Aug 10, 2026
- Latest release
- Jul 20, 2026
Categories: Calendars & Scheduling, Workflow Automation, Customer Relationship Management, Project Management, Task Management, Digital Whiteboards, DevOps, Document Collaboration
Sources and editorial review7 linked sources
Public documentation supports this comparison. Automation assists collection and classification; editorial standards and corrections remain the responsibility of Kris.
DooTask是一款开源在线项目任务管理工具，提供各类文档协作工具、在线思维导图、在线流程图、项目管理、任务分发、即时IM，文件管理等工具。
repository description · github.com# DooTask - Open Source Task Management System
readme · github.comRequired: Docker v20.10+ and Docker Compose v2.0+
readme · github.comDatabase: MariaDB (provided by the default Docker Compose mariadb service)
readme · github.comBuild project (This is for web client. For desktop apps, refer to .github/workflows/publish.yml)
readme · github.comUse multiple views such as Kanban boards, tables, and lists to make the overall project visible at a glance; members can filter, sort, and group tasks flexibly to give priority to what's important and stay focused.
verdict · dootask.com- Required: `Docker v20.10+` and `Docker Compose v2.0+` - Supported Systems: `CentOS/Debian/Ubuntu/macOS` and other Linux/Unix systems - Hardware Recommendation: 2+ cores, 4GB+ memory - Database: MariaDB (provided by the default Docker Compose `mariadb` service) - Special Note: Windows users can
deployment · github.com
