Plane vs Taiga: Project Management Compared

Quick Verdict

Plane is the better choice for most teams. It has a modern, fast UI that feels like Linear or Jira Cloud, supports cycles (sprints), modules for grouping work, and is under very active development with a large community. Taiga is the better choice if your team runs formal Scrum with sprint ceremonies, epics, and story points baked into the workflow. But Plane’s velocity of development, cleaner interface, and broader feature set make it the stronger pick for the majority of self-hosters looking to replace Jira or Linear.

Overview

Plane launched in 2023 and has rapidly become the most popular open-source project management tool on GitHub with over 31,000 stars. It is built with Django on the backend and Next.js on the frontend. The Community Edition is licensed under AGPL-3.0 with no limits on users or projects. Plane targets teams migrating from Jira, Linear, Asana, or ClickUp and provides importers for all of them.

Taiga has been around since 2015, built by Kaleidos Ventures. It is a mature agile project management platform with deep Scrum and Kanban support. The backend is Python (Django), and the frontend is Angular. Taiga is licensed under MPL-2.0 (backend) and AGPL-3.0 (frontend). Development has slowed compared to Plane, but the product is stable and feature-complete for teams that need a traditional agile workflow.

Feature Comparison

Feature	Plane	Taiga
Issue tracking	Yes — work items with states, labels, priorities	Yes — user stories, tasks, issues
Sprints / Cycles	Cycles (time-boxed iterations)	Full Scrum sprints with velocity tracking
Kanban board	Yes	Yes
Epics	Modules (group related issues)	Native epics with user story mapping
Story points	Yes	Yes — built into Scrum workflow
Backlog management	Yes	Yes — with prioritized backlog view
Wiki / Docs	Built-in Pages (rich text docs)	Built-in wiki per project
Time tracking	No (planned)	No (third-party integrations)
Custom fields	Yes	Yes — custom attributes on stories and tasks
Roadmap view	Yes	No
Gantt chart	Yes (timeline view)	No
Git integration	GitHub, GitLab — sync issues and PRs	GitHub, GitLab, Bitbucket webhooks
API	Full REST API, webhooks, OAuth apps	Full REST API
Mobile app	Responsive web (no native app)	Responsive web (no native app)
Import from other tools	Jira, Linear, Asana, ClickUp, Monday, GitHub	Jira, Trello, GitHub, Asana
License	AGPL-3.0	MPL-2.0 / AGPL-3.0
GitHub stars	31,000+	16,000+
Active development	Very active (weekly releases)	Slow (last major release mid-2024)

Installation Complexity

Plane has more services but a smoother setup experience. The official installer script handles everything, or you can use Docker Compose directly. The stack includes six application services (web, API, worker, beat-worker, live, space), plus PostgreSQL, Valkey (Redis fork), RabbitMQ, MinIO for file storage, and an Nginx proxy. That sounds like a lot, but the provided Compose file handles all of it with a single .env configuration.

Taiga also has a substantial stack: backend, frontend, async worker, events service, protected media service, gateway (Nginx), PostgreSQL, and two RabbitMQ instances. Setup requires editing a .env file and running two Compose files (one for init, one for services). It works, but the documentation is less polished than Plane’s.

Both require a minimum of 4 GB RAM for comfortable operation.

Plane Docker Compose

Create a docker-compose.yml:

services:
  web:
    image: makeplane/plane-frontend:v1.2.2
    container_name: plane-web
    restart: unless-stopped
    depends_on:
      - api
    env_file:
      - .env
    command: node server.js web

  space:
    image: makeplane/plane-space:v1.2.2
    container_name: plane-space
    restart: unless-stopped
    depends_on:
      - api
    env_file:
      - .env
    command: node server.js space

  admin:
    image: makeplane/plane-admin:v1.2.2
    container_name: plane-admin
    restart: unless-stopped
    depends_on:
      - api
    env_file:
      - .env
    command: node server.js admin

  api:
    image: makeplane/plane-backend:v1.2.2
    container_name: plane-api
    restart: unless-stopped
    depends_on:
      - plane-db
      - plane-redis
      - plane-mq
    env_file:
      - .env
    command: ./bin/docker-entrypoint-api.sh

  worker:
    image: makeplane/plane-backend:v1.2.2
    container_name: plane-worker
    restart: unless-stopped
    depends_on:
      - api
    env_file:
      - .env
    command: ./bin/docker-entrypoint-worker.sh

  beat-worker:
    image: makeplane/plane-backend:v1.2.2
    container_name: plane-beat-worker
    restart: unless-stopped
    depends_on:
      - api
    env_file:
      - .env
    command: ./bin/docker-entrypoint-beat.sh

  live:
    image: makeplane/plane-live:v1.2.2
    container_name: plane-live
    restart: unless-stopped
    depends_on:
      - api
      - plane-redis
    env_file:
      - .env
    command: node live.js

  migrator:
    image: makeplane/plane-backend:v1.2.2
    container_name: plane-migrator
    depends_on:
      - plane-db
      - plane-redis
    env_file:
      - .env
    command: ./bin/docker-entrypoint-migrator.sh

  plane-db:
    image: postgres:15.7-alpine
    container_name: plane-db
    restart: unless-stopped
    volumes:
      - pgdata:/var/lib/postgresql/data
    environment:
      POSTGRES_USER: plane
      POSTGRES_PASSWORD: plane
      POSTGRES_DB: plane
    command: postgres -c 'max_connections=1000'

  plane-redis:
    image: valkey/valkey:7.2.5-alpine
    container_name: plane-redis
    restart: unless-stopped
    volumes:
      - redisdata:/data

  plane-mq:
    image: rabbitmq:3.13.6-management-alpine
    container_name: plane-mq
    restart: unless-stopped
    volumes:
      - rabbitmq_data:/var/lib/rabbitmq
    environment:
      RABBITMQ_DEFAULT_USER: plane
      RABBITMQ_DEFAULT_PASS: plane

  plane-minio:
    image: minio/minio:RELEASE.2025-04-22T22-12-26Z
    container_name: plane-minio
    restart: unless-stopped
    volumes:
      - uploads:/export
    environment:
      MINIO_ROOT_USER: plane_access_key
      MINIO_ROOT_PASSWORD: plane_secret_key
    command: server /export --console-address ":9090"

  proxy:
    image: makeplane/plane-proxy:v1.2.2
    container_name: plane-proxy
    restart: unless-stopped
    ports:
      - "80:80"
    depends_on:
      - web
      - api
      - space
      - admin
      - live
    env_file:
      - .env

volumes:
  pgdata:
  redisdata:
  uploads:
  rabbitmq_data:

Create a .env file alongside it:

# Plane environment configuration

# Database
POSTGRES_USER=plane
POSTGRES_PASSWORD=plane
POSTGRES_DB=plane
POSTGRES_HOST=plane-db
POSTGRES_PORT=5432
DATABASE_URL=postgresql://plane:plane@plane-db:5432/plane

# Redis
REDIS_HOST=plane-redis
REDIS_PORT=6379
REDIS_URL=redis://plane-redis:6379/

# RabbitMQ
RABBITMQ_HOST=plane-mq
RABBITMQ_PORT=5672
RABBITMQ_DEFAULT_USER=plane
RABBITMQ_DEFAULT_PASS=plane
RABBITMQ_VHOST=/

# MinIO / S3 storage
AWS_ACCESS_KEY_ID=plane_access_key
AWS_SECRET_ACCESS_KEY=plane_secret_key
AWS_S3_ENDPOINT_URL=http://plane-minio:9000
AWS_S3_BUCKET_NAME=uploads
AWS_REGION=
FILE_SIZE_LIMIT=5242880

# Application
SECRET_KEY=replace-with-a-long-random-string
WEB_URL=http://localhost
CORS_ALLOWED_ORIGINS=http://localhost

# Ports
NGINX_PORT=80

Start the stack:

docker compose up -d

Access Plane at http://your-server-ip. The first user to sign up becomes the instance admin.

Taiga Docker Compose

Create a docker-compose.yml:

services:
  taiga-db:
    image: postgres:12.3
    container_name: taiga-db
    restart: unless-stopped
    environment:
      POSTGRES_DB: taiga
      POSTGRES_USER: taiga
      POSTGRES_PASSWORD: taiga
    volumes:
      - taiga-db-data:/var/lib/postgresql/data
    healthcheck:
      test: ["CMD-SHELL", "pg_isready -U taiga"]
      interval: 2s
      timeout: 15s
      retries: 5
      start_period: 3s
    networks:
      - taiga

  taiga-back:
    image: taigaio/taiga-back:6.8.3
    container_name: taiga-back
    restart: unless-stopped
    depends_on:
      taiga-db:
        condition: service_healthy
      taiga-events-rabbitmq:
        condition: service_started
      taiga-async-rabbitmq:
        condition: service_started
    environment: &taiga-back-env
      # Database
      POSTGRES_DB: taiga
      POSTGRES_USER: taiga
      POSTGRES_PASSWORD: taiga
      POSTGRES_HOST: taiga-db
      # Taiga URL settings
      TAIGA_SECRET_KEY: replace-with-a-long-random-string
      TAIGA_SITES_SCHEME: "http"
      TAIGA_SITES_DOMAIN: "localhost:9000"
      TAIGA_SUBPATH: ""
      # RabbitMQ for events
      RABBITMQ_USER: taiga
      RABBITMQ_PASS: taiga
      # Email (console backend = print to logs, switch to smtp for real email)
      EMAIL_BACKEND: "django.core.mail.backends.console.EmailBackend"
      ENABLE_TELEMETRY: "False"
    volumes:
      - taiga-static-data:/taiga-back/static
      - taiga-media-data:/taiga-back/media
    networks:
      - taiga

  taiga-async:
    image: taigaio/taiga-back:6.8.3
    container_name: taiga-async
    restart: unless-stopped
    depends_on:
      taiga-db:
        condition: service_healthy
      taiga-async-rabbitmq:
        condition: service_started
    environment:
      <<: *taiga-back-env
    volumes:
      - taiga-static-data:/taiga-back/static
      - taiga-media-data:/taiga-back/media
    entrypoint: ["/taiga-back/docker/async_entrypoint.sh"]
    networks:
      - taiga

  taiga-async-rabbitmq:
    image: rabbitmq:3.8-management-alpine
    container_name: taiga-async-rabbitmq
    restart: unless-stopped
    environment:
      RABBITMQ_ERLANG_COOKIE: secret-erlang-cookie
      RABBITMQ_DEFAULT_USER: taiga
      RABBITMQ_DEFAULT_PASS: taiga
      RABBITMQ_DEFAULT_VHOST: taiga
    volumes:
      - taiga-async-rabbitmq-data:/var/lib/rabbitmq
    networks:
      - taiga

  taiga-events-rabbitmq:
    image: rabbitmq:3.8-management-alpine
    container_name: taiga-events-rabbitmq
    restart: unless-stopped
    environment:
      RABBITMQ_ERLANG_COOKIE: secret-erlang-cookie
      RABBITMQ_DEFAULT_USER: taiga
      RABBITMQ_DEFAULT_PASS: taiga
      RABBITMQ_DEFAULT_VHOST: taiga
    volumes:
      - taiga-events-rabbitmq-data:/var/lib/rabbitmq
    networks:
      - taiga

  taiga-front:
    image: taigaio/taiga-front:6.9.0
    container_name: taiga-front
    restart: unless-stopped
    environment:
      TAIGA_URL: "http://localhost:9000"
      TAIGA_WEBSOCKETS_URL: "ws://localhost:9000"
      TAIGA_SUBPATH: ""
    networks:
      - taiga

  taiga-events:
    image: taigaio/taiga-events:6.8.3
    container_name: taiga-events
    restart: unless-stopped
    depends_on:
      - taiga-events-rabbitmq
    environment:
      RABBITMQ_USER: taiga
      RABBITMQ_PASS: taiga
      TAIGA_SECRET_KEY: replace-with-a-long-random-string
    networks:
      - taiga

  taiga-protected:
    image: taigaio/taiga-protected:6.8.3
    container_name: taiga-protected
    restart: unless-stopped
    environment:
      MAX_AGE: 360
      SECRET_KEY: replace-with-a-long-random-string
    networks:
      - taiga

  taiga-gateway:
    image: nginx:1.19-alpine
    container_name: taiga-gateway
    restart: unless-stopped
    ports:
      - "9000:80"
    volumes:
      - ./taiga-gateway/taiga.conf:/etc/nginx/conf.d/default.conf
      - taiga-static-data:/taiga/static
      - taiga-media-data:/taiga/media
    depends_on:
      - taiga-front
      - taiga-back
      - taiga-events
    networks:
      - taiga

volumes:
  taiga-db-data:
  taiga-static-data:
  taiga-media-data:
  taiga-async-rabbitmq-data:
  taiga-events-rabbitmq-data:

networks:
  taiga:

You also need an Nginx config for the gateway. Create taiga-gateway/taiga.conf:

server {
    listen 80;

    client_max_body_size 100M;
    charset utf-8;

    location / {
        proxy_pass http://taiga-front/;
        proxy_set_header Host $http_host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
    }

    location /api/ {
        proxy_pass http://taiga-back:8000/api/;
        proxy_set_header Host $http_host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
    }

    location /admin/ {
        proxy_pass http://taiga-back:8000/admin/;
        proxy_set_header Host $http_host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
    }

    location /static/ {
        alias /taiga/static/;
    }

    location /media/ {
        proxy_pass http://taiga-protected:8003/;
        proxy_set_header Host $http_host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Forwarded-Proto $scheme;
        proxy_set_header X-Forwarded-Uri $request_uri;
    }

    location /events {
        proxy_pass http://taiga-events:8888/events;
        proxy_http_version 1.1;
        proxy_set_header Upgrade $http_upgrade;
        proxy_set_header Connection "upgrade";
        proxy_connect_timeout 7d;
        proxy_send_timeout 7d;
        proxy_read_timeout 7d;
    }
}

Start the stack:

docker compose up -d

Access Taiga at http://your-server-ip:9000. The default admin credentials are admin / 123123. Change the password immediately after first login.

Performance and Resource Usage

Plane is heavier on paper — more services, more containers. In practice, idle resource consumption is moderate because the frontend services are lightweight Node.js processes and the real work happens in the API and worker containers.

Resource	Plane	Taiga
Containers	13 (including infra)	9 (including infra)
RAM (idle)	~2.5 GB	~1.5 GB
RAM (recommended)	8 GB	4 GB
CPU (minimum)	2 cores	2 cores
Disk	~2 GB base + uploads	~1 GB base + uploads
Database	PostgreSQL 15	PostgreSQL 12
Cache	Valkey (Redis fork)	N/A
Message queue	RabbitMQ	RabbitMQ (x2 instances)
File storage	MinIO (S3-compatible)	Local volumes

Taiga is lighter overall and runs comfortably on a 4 GB VPS. Plane wants 8 GB for a team of more than a few users, especially if the worker processes are handling imports or large backlogs.

Community and Support

Plane has momentum. The project has 31,000+ GitHub stars, over 100 contributors, and weekly releases. The company behind it (Plane, Inc.) raised funding and actively maintains both Community and Commercial editions. Documentation is solid, the Discord community is active, and issues on GitHub get triaged quickly.

Taiga is mature but slower-moving. It has 16,000+ GitHub stars and a loyal user base. The team at Kaleidos still maintains it, but release cadence has dropped significantly. The community forum exists but is less active than Plane’s. Documentation covers the basics well but has not been updated as frequently.

If you care about long-term development velocity and new features, Plane is the safer bet. If you want a stable, proven tool that does not change often, Taiga’s maturity is an advantage.

Use Cases

Choose Plane If…

You want a modern Jira or Linear replacement with a clean UI
Your team uses cycles (sprints) but does not need formal Scrum ceremonies
You need a roadmap or timeline (Gantt) view
You want built-in docs (Pages) alongside your issues
You need importers from Jira, Linear, Asana, ClickUp, or Monday
You want a project that is actively adding features every week
You plan to scale to a larger team and want the option of a commercial upgrade

Choose Taiga If…

Your team runs formal Scrum with sprint planning, reviews, and retrospectives
You need native epics with user story mapping
You want a lighter deployment footprint (runs on 4 GB RAM)
You prefer a mature, stable tool over a fast-moving one
You do not need Gantt charts, roadmaps, or built-in docs
Your workflow is purely Scrum or Kanban without hybrid needs

Final Verdict

Plane wins for most teams. The interface is significantly more polished than Taiga’s, the feature set is broader (roadmaps, timeline, modules, Pages), and the development pace means gaps are closing fast. The Community Edition has no user or project limits, making it a genuine Jira Cloud replacement you can self-host without compromise.

Taiga is the right call for teams that live and breathe Scrum. Its sprint velocity tracking, epic management, and story point estimation are more deeply integrated into the workflow than Plane’s cycle-based approach. If your team does sprint planning meetings and points poker, Taiga’s opinionated Scrum workflow will feel more natural.

For everyone else — especially teams coming from Jira, Linear, or Asana who want a clean, modern tool they control — Plane is the answer.

Quick Verdict

Overview

Feature Comparison

Installation Complexity

Plane Docker Compose

Taiga Docker Compose

Performance and Resource Usage

Community and Support

Use Cases

Choose Plane If…

Choose Taiga If…

Final Verdict

Related

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