qpixel

Self-Hosted

Open-source Q&A platform powering Stack Exchange communities

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Overview

qpixel is an open-source Q&A platform designed for structured knowledge-sharing communities. It powers Stack Exchange sites like Stack Overflow, offering core features such as reputation systems, badges, voting, moderation tools, and customizable community rules. It supports self-hosting via Docker containers or traditional deployment, enabling full control over data privacy and governance. Ideal for technical teams, niche communities, or organizations looking to build a scalable Q&A hub with proven community management capabilities.

Key Features

  • Reputation and badge-based incentive system
  • Voting and moderation workflows
  • Customizable community policies and rules
  • Responsive mobile interface
  • API access for extending functionality

Frequently Asked Questions

? Is qpixel hard to install?

qpixel offers Docker-based deployment which simplifies basic setup, but production environments require configuring PostgreSQL, Redis, and scaling considerations. Technical expertise in server management and containerization is recommended for a smooth deployment.

? Is it a good alternative to Quora?

Yes—qpixel is ideal for communities seeking full control over their data and rules, unlike Quora’s hosted, ad-supported model. It provides structured Q&A with moderation tools, making it better suited for niche or technical communities needing tailored governance.

? Is it completely free?

Yes—qpixel is licensed under the MIT License, so it’s free to download, self-host, modify, and distribute without any licensing fees or subscriptions.

Top Alternatives

Quora (proprietary hosted Q&A) Search Google
AnswerHub (proprietary enterprise Q&A) Search Google

Tool Info

Pricing Open Source
Platform Self-Hosted

Pros

  • Full data control via self-hosting
  • Open-source (modify and customize freely)
  • Proven scalability (used by Stack Exchange)
  • Robust moderation and community management tools

Cons

  • Requires technical expertise for setup (Docker/DB config)
  • Steep learning curve for advanced customization
  • Limited pre-built templates for non-technical users

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