Superdesk
Open source end-to-end news creation, production, curation, distribution and publishing platform, scalable for any size news organization.
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Open source end-to-end news production and publishing platform for any size organization.
Core Features
- Complete editorial workflow: planning, writing, editing, review, publishing
- Multi-channel distribution: websites, apps, social media
- Built-in content curation and collaborative editing
- Powerful search and archiving with ElasticSearch
- Extensible with custom plugins and integrations
What It Can't Do
- •On macOS, use Python virtual environment. Avoid `npm link`; use `npx link` instead (npm 7+ breaks dependency resolution). ElasticSearch version must be 7.x. The data initialization step is mandatory before first use.
Use Cases
- Newsroom content management and collaboration
- Multi-platform content publishing for media groups
- Collaborative journalism for independent outlets
Detailed Introduction
Superdesk is an open source end-to-end news creation, production, curation, distribution and publishing platform developed and maintained by Sourcefabric. It provides a complete workflow for journalism: from planning and writing to editing, publishing, and distributing stories across multiple channels. The server-side API handles all client requests, while the client provides a rich user interface. It is scalable to suit news organizations of any size, from small outlets to large media enterprises. The platform integrates with ElasticSearch for powerful search and MongoDB for data storage. It can run locally via Docker for quick setup, and supports manual installation with Python 3.8, Node.js, and required services like Redis. Superdesk is available under the AGPL v3 license.
Troubleshooting & FAQ (1)
TroubleshootingWhy does the featured image remain in the working stage after publishing the article?
Set PUBLISH_ASSOCIATED_ITEMS = True in your server/settings.py configuration file. This will automatically publish associated images along with the article, moving them from the working stage to the output stage so they don't linger in progress.
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Getting Started
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Step 1: Install Docker and Docker Compose
Step 2: Run `docker compose up -d` to start services
Step 3: Initialize data: `docker compose exec superdesk-server python manage.py app:initialize_data`
- Step 1: Install Docker and Docker Compose
- Step 2: Run `docker compose up -d` to start services
- Step 3: Initialize data: `docker compose exec superdesk-server python manage.py app:initialize_data`
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For Docker: run `docker compose down -v` to stop and remove containers and volumes. For manual install: delete the project directory and drop the MongoDB/ElasticSearch databases.
No Extra Dependencies
Ready to use after download. No additional runtime required.
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