bobymicroby/boby-alga-toolkit — explained in plain English
Analysis updated 2026-07-13 · repo last pushed 2021-02-10
Prototype a social network by mapping users and asking the tool to suggest friends-of-friends.
Build a recommendation system that reasons about connections between people or things.
Model dependencies or relationships between entities in a lightweight way without a full database.
| bobymicroby/boby-alga-toolkit | psibi/mime-mail | psibi/xmonad-extras | |
|---|---|---|---|
| Language | Haskell | Haskell | Haskell |
| Last pushed | 2021-02-10 | 2018-04-18 | 2019-10-06 |
| Maintenance | Dormant | Dormant | Dormant |
| Setup difficulty | easy | easy | moderate |
| Complexity | 2/5 | 2/5 | 3/5 |
| Audience | pm founder | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Pre-built binaries are available for macOS, Linux, and Windows so no development environment is needed.
Bobby's Algebraic Graph Toolkit is a command-line tool that lets you build and explore network diagrams, like a mini social network where you can map out who follows whom. You type simple text commands to create connections between people or things, and then ask questions about those relationships, such as who follows whom or who might be good friends-of-friends to connect with next. At its core, the tool is built around a concept called "algebraic graphs," a mathematically rigorous way of representing networks. The README points to a whitepaper and presentation by the creator of that concept, so the underlying approach is research-backed. In practice, though, using it is straightforward: you type something like follow elon bitcoin to create a directed link from Elon to Bitcoin, then use commands like followers bitcoin or suggest elon 10 to query the relationships you've built. The tool generates visual diagrams of your graph and provides a link to view them. This would appeal to someone building a social network prototype, a recommendation system, or any application where you need to reason about connections between entities, followers, friendships, dependencies, or similar relationships. For example, a founder sketching out a social product could use it to model how a "people you may know" feature might work, mapping a handful of users and then asking the tool to suggest ten friends-of-friends for a given person. The project is written in Haskell and offers pre-built binaries for macOS, Linux, and Windows, so you don't need to be a developer to try it, though the README doesn't go into much detail beyond the basic commands. It's a lightweight, focused utility rather than a full-featured graph database or production system.
A command-line tool for building and exploring network diagrams using simple text commands. Type connections like 'follow elon bitcoin' and then ask questions about relationships, such as suggesting friends-of-friends.
Mainly Haskell. The stack also includes Haskell, CLI.
Dormant — no commits in 2+ years (last push 2021-02-10).
No license information was provided in the README.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly pm founder.
This repo across BitVibe Labs
Verify against the repo before relying on details.