
A·Muse·Wiki
Text::Amuse-based wiki and book-oriented publishing engine
219 stars 30 forks last commit first released
Actively maintained
Last commit 13 Aug 2026.

A·Muse·Wiki (AmuseWiki) is a wiki and publishing platform built around the Text::Amuse/Emacs Muse markup. It targets library-style publishing and book-oriented workflows, offering high-quality EPUB and PDF output and multiple storage backends for archival publishing and web delivery.
Key Features
- Text::Amuse/Emacs Muse-compatible markup for rich structured text and book-style content generation.
- High-quality output formats including EPUB and PDF (LaTeX-quality typesetting) and an integrated bookbuilder for assembling publications.
- Multiple storage/backends: flat-file and Git-backed content storage for long-term archival workflows.
- Supports multiple relational databases (PostgreSQL, MySQL/MariaDB, SQLite) and can be configured for varied deployment scales.
- OPDS server support and localization in many languages for distribution to reading apps and international audiences.
Use Cases
- Publishing and managing book-length text collections, academic repositories, or library catalogues that require high-quality print and ebook exports.
- Running multi-site wiki farms with Git-based content workflows for editorial control, versioning, and archival.
- Creating documentation or manuals with a focus on typographic quality and offline/exportable formats (PDF/EPUB).
Limitations and Considerations
- Primary implementation and tooling are Perl-centric; organizations without Perl expertise may face a steeper onboarding curve compared with more widely used stacks.
- The project provides Debian packages and traditional server deployment guidance; official Docker images are not provided in the main repository (third-party Docker projects exist).
A·Muse·Wiki is a purpose-built solution for publishers and archives that need a wiki tuned for books, high-quality typesetting, and archival backends. It emphasizes production-ready exports, multiple DB backends, and Git/flat-file archival workflows for long-lived content collections.
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