CommaFeed
Self-HostedSelf-hosted RSS/Atom feed reader with privacy and control
Overview
CommaFeed is a self-hosted RSS and Atom feed reader built for users who value data privacy and ownership. It features a clean, responsive interface with feed categorization, read/unread tracking, saved articles, full-text search, dark mode, and OPML import/export. Supports multiple users, making it ideal for shared hosting. Deployment is simple via Docker (official image) or standalone JAR file, with minimal configuration needed. Syncs across devices via web access and integrates with Pocket/Wallabag for extended read-later functionality. Perfect for replacing SaaS feed readers while keeping your feed data private.
Self-Hosting Resources
Below is a reference structure for docker-compose.yml.
⚠️ Do NOT run blindly. Replace placeholders with official values.
version: '3'
services:
comma_feed:
image: <OFFICIAL_IMAGE_NAME>:latest
container_name: comma-feed
ports:
- "8080:<APP_INTERNAL_PORT>"
volumes:
- ./data:/app/data
restart: unless-stopped Key Features
- RSS/Atom feed support with multi-user access
- Docker & JAR deployment options
- OPML import/export and full-text search
- Dark mode and responsive web interface
Frequently Asked Questions
? Is CommaFeed hard to install?
No—CommaFeed offers straightforward deployment via Docker (official image) or standalone JAR. Docker setup needs basic config (database URL, admin credentials), and the GitHub repo provides clear steps for both methods, accessible to users with minimal server knowledge.
? Is it a good alternative to Feedly?
Yes—CommaFeed provides core Feedly features (feed organization, read tracking, search) but with self-hosting for privacy. It lacks Feedly’s AI recommendations but is perfect for users prioritizing data control over advanced SaaS extras.
? Is it completely free?
Absolutely—CommaFeed is open-source under MIT License, so it’s free to use, modify, and host. All features are available without subscription fees or paid tiers.
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Tool Info
Pros
- ⊕ Privacy-focused (self-hosted data control)
- ⊕ Free and open-source (MIT License)
- ⊕ Easy deployment with Docker
- ⊕ Multi-user support for shared use cases
Cons
- ⊖ Requires server setup and maintenance
- ⊖ No native mobile app (web-only access)
- ⊖ Lacks advanced AI recommendations like SaaS alternatives