.vscode | ||
backend | ||
frontend | ||
gephi | ||
.dokku-monorepo | ||
.gitignore | ||
.gitlab-ci.yml | ||
BILL-OF-MATERIALS.md | ||
CHANGELOG | ||
docker-compose.yml | ||
example.env | ||
LICENSE | ||
netlify.toml | ||
README.md | ||
screenshot.png |
fediverse.space 🌐
The map of the fediverse that you always wanted.
Read the latest updates on Mastodon: @fediversespace
Requirements
Though dockerized, backend development is easiest if you have the following installed.
- For the scraper + API:
- Elixir
- Postgres
- For laying out the graph:
- Java
- For the frontend:
- Node.js
- Yarn
Running it
Backend
cp example.env .env
and modify environment variables as requireddocker-compose build
docker-compose up -d phoenix
- if you don't specify
phoenix
, it'll also startgephi
which should only be run as a regular one-off job
- if you don't specify
Frontend
cd frontend && yarn install
yarn start
Commands
Backend
./gradlew shadowJar
compiles the graph layout program. java -Xmx1g -jar build/libs/graphBuilder.jar
runs it.
If running in docker, this means you run
docker-compose build gephi
docker-compose run gephi java -Xmx1g -jar build/libs/graphBuilder.jar
lays out the graph
Frontend
yarn build
creates an optimized build for deployment
Privacy
This project doesn't crawl personal instances: the goal is to understand communities, not individuals. The threshold for what makes an instance "personal" is defined in the backend config and the graph builder SQL.
Acknowledgements
Many thanks to NLnet for their support and guidance of this project.