index.community/README.md

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# fediverse.space 🌐
The map of the fediverse that you always wanted.
Read the latest updates on Mastodon: [@fediversespace](https://cursed.technology/@fediversespace)
![A screenshot of fediverse.space](screenshot.png)
1. [Requirements](#requirements)
2. [Running it](#running-it)
3. [Commands](#commands)
4. [Privacy](#privacy)
5. [Acknowledgements](#acknowledgements)
## 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 required
- `docker-compose build`
- `docker-compose up -d phoenix`
- if you don't specify `phoenix`, it'll also start `gephi` which should only be run as a regular one-off job
### 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](backend/config/config.exs) and the [graph builder SQL](gephi/src/main/java/space/fediverse/graph/GraphBuilder.java).
## Acknowledgements
[![NLnet logo](https://i.imgur.com/huV3rvo.png)](https://nlnet.nl/project/fediverse_space/)
Many thanks to [NLnet](https://nlnet.nl/project/fediverse_space/) for their support and guidance of this project.