How to deploy Shamichan with Docker?

Use the Docker run command from the README, specifying the image directory and PostgreSQL database URL. Ensure Docker is installed and configure bind mounts and network settings as per the example.

Shamichan vs other imageboard software like Danbooru?

Shamichan focuses on real-time, anonymous discussions with transparent moderation, while Danbooru is more for image tagging and browsing. Choose Shamichan for dynamic communities and Danbooru for curated content.

How to configure moderation logs in Shamichan?

The README mentions transparent moderation tools, but specific steps aren't detailed; refer to the docs folder for sample configurations and explore the database schema for log management.

Does Shamichan support video uploads and processing?

Yes, it uses FFmpeg for high-performance video handling, as stated in the dependencies, but ensure your FFmpeg build includes libraries like libvpx and libx264.

How to customize the user interface of Shamichan?

Building from source involves Node.js for the client, so customization requires modifying client code; the README doesn't provide theming guides, so expect a steep learning curve.

What are the hardware requirements for running Shamichan efficiently?

It depends on traffic and media uploads; PostgreSQL needs adequate RAM, and FFmpeg/OpenCV require CPU power. The README doesn't specify, so start with a robust server and monitor performance.

How to handle database backups with Shamichan and PostgreSQL?

Use standard PostgreSQL backup tools; the README doesn't cover this, so implement regular backups of the database and the mounted image directory to prevent data loss.

Open-Awesome

Meguca

NOASSERTIONRustv6.8.2

A high-performance, anonymous real-time imageboard platform focused on free speech and transparent moderation.

GitHub

444 stars78 forks0 contributors

What is Meguca?

Shamichan is an open-source, anonymous real-time imageboard platform designed for high performance and transparent moderation. It allows users to host their own image-based discussion boards with live updates, media uploads, and community management tools. The project focuses on free speech, self-hosting, and efficient media processing.

Target Audience

Community moderators, system administrators, and developers looking to host independent imageboard communities with full control over moderation and infrastructure.

Value Proposition

Developers choose Shamichan for its high-performance architecture, transparent moderation features, and self-hosted deployment options, providing a robust alternative to centralized platforms.

Overview

anonymous realtime imageboard focused on high performance and transparent moderation

Use Cases

Best For

Hosting independent imageboard communities
Self-hosting anonymous discussion platforms
Building real-time forums with media uploads
Implementing transparent moderation systems
Deploying high-performance imageboards with Docker
Creating free-speech-focused online communities

Not Ideal For

Projects needing managed hosting without server administration responsibilities
Teams requiring out-of-the-box UI theming and customization options
Communities seeking integrated user accounts and social features
Rapid deployment scenarios where quick, no-code setup is a priority

Pros & Cons

Pros

Real-Time Interactivity

Enables live post and thread updates without page refreshes, fostering dynamic community discussions as highlighted in the key features.

Efficient Media Handling

Uses FFmpeg and OpenCV for high-performance image and video processing, with detailed dependencies ensuring optimized uploads.

Transparent Moderation Tools

Provides clear moderation logs and tools, supporting community-driven management for free speech, a core part of the philosophy.

Self-Hosted Autonomy

Offers full control over deployment via Docker or native installation, with PostgreSQL backend for reliable data storage.

Cons

Complex Installation Process

Requires multiple dependencies like Go, Node.js, Rust, and specific FFmpeg libraries, making setup challenging and time-consuming.

Unstable Development State

Master branch is undergoing active breaking changes, forcing users to rely on the older v6 branch for stable deployment, as noted in the README.

Incomplete Documentation

README contains TODOs for initial configuration and development, lacking detailed guides for setup and moderation, which may hinder adoption.

Limited Platform Compatibility

Primarily targets Linux and Docker, with no mention of support for Windows or macOS, restricting deployment flexibility.

Frequently Asked Questions

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