Lab-in-a-Box
·4 mins
A pyinfra-based deployment that installs and configures an entire research infrastructure stack – Forgejo-Aneksajo, HedgeDoc, and supporting services – on a single server or set of servers. Configuration as code, stored in git.
ai-ready
Output is structured text or JSON that an LLM can consume directly. These artifacts can feed into AI-assisted analysis, summarization, and search workflows without preprocessing.
Mattermost Export
Built-in Mattermost export tooling using mmctl to produce JSONL archives of teams, channels, users, and posts, suitable for long-term preservation in git-annex.
pyinfra
Infrastructure automation tool that uses Python for defining deployments. Deployment configurations are stored in git, making infrastructure reproducible and version-controlled.
python-github-backup
A Python tool that creates comprehensive backups of GitHub repositories and their metadata – issues, PRs, releases, wikis, stars, and more.
SpecStory
Saves AI coding sessions from VS Code and Cursor as structured markdown files in a .specstory/ directory within the project
tg-archive
Python tool that syncs Telegram group messages to a local SQLite database and generates static HTML archives with navigation, search, and RSS feeds.
wayslack2
Python tool for incremental Slack archival using Slack’s export format, with DataLad integration for versioned, provenance-tracked preservation.
Zotero Integration
Integration with the Zotero reference manager for synchronizing curated reference collections with DataLad datasets. Export BibTeX, JSON, and structured metadata for git-tracked bibliography management.