Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/elsbrock/hetzner-radar

:detective: Track prices of the Hetzner dedicated server auction
https://github.com/elsbrock/hetzner-radar

duckdb hetzner sveltekit tailwind wasm

Last synced: about 2 hours ago
JSON representation

:detective: Track prices of the Hetzner dedicated server auction

Awesome Lists containing this project

README

        

# Hetzner Radar

Hetzner Radar is a tool that tracks the prices of Hetzner's [Dedicated Server
Auction](https://www.hetzner.com/sb/) over time, helping customers identify the
best configurations and prices. While Hetzner's auction site allows filtering by
certain criteria, it only provides a snapshot at a given moment. Hetzner Radar
aims to enhance this by offering advanced filtering and a comprehensive pricing
history. Additionally, we track server volumes and other relevant statistics.

https://github.com/user-attachments/assets/cb49e923-0315-49aa-a3c2-2dbef2ee0596

## Features

* Track server prices and volumes over time.
* Find all configurations that match your filters.
* View the lowest price seen for a specific configuration.
* Utilize advanced filters such as location, datacenter, CPU, RAM, and drive
configuration.

## Architecture

This is a single-tier, client-only architecture, with the website statically
built using SvelteKit. DuckDB is used in the background for querying the
database.

We fetch the latest auction data from Hetzner once per hour, rebuild the
database and update the website. The raw data is stored in the `data` branch,
where we currently maintain three months of history. We may consider purging
older data if the branch becomes too large.

The project is currently deployed on GitHub Pages.

## Development

To set up your development environment, you'll need Python 3 for data ingestion
and Node.js to run or build the website.

You can also use the provided Nix Flake to set up your environment (though it is
somewhat neglected at the moment).

### Preparing the Database

This step is optional if you just want to work on the frontend. You can simply
download the latest snapshot from the website:

```
wget https://radar.iodev.org/sb.duckdb.wasm -O static/sb.duckdb.wasm
```

Note that we're using the `.wasm` extension purely to trick the Github CDN into
believing it can be cached; it is indeed a regular DuckDB binary database file.

If you just want to inspect or play with the dataset, you can do so by running.

```
duckdb -cmd "attach 'https://radar.iodev.org/sb.duckdb.wasm' (read_only); use sb;"
```

Inspect the schema using the `.schema` pragma.

We use Python 3 to create a DuckDB database and ingest the auction data.

```sh
poetry shell
# Add the `data` branch under /data
git worktree add data data
# Build the DuckDB database
python scripts/import.py data static/sb.duckdb.wasm
```

### Running the Website

To run the website, simply use the `dev` target. To build a static version, use
`build`.

```sh
npm install
npm run dev
```
## Contributions

Contributions are welcome and encouraged! Whether it's fixing a bug, adding a
new feature, or optimizing performance, your input can make Hetzner Radar even
better. If you have an idea or a patch, feel free to submit a pull request or
open an issue.

Before contributing, please ensure that your changes align with the project's
goals and architecture. If you're unsure or would like to discuss your ideas,
don't hesitate to start a discussion in the issues section.

I'm happy to review and merge any meaningful contributions that improve the
project. Thank you for helping to make Hetzner Radar better for everyone!

## Disclaimer

This project was created by a satisfied Hetzner customer and is intended in good
faith. The project is designed to be beneficial for all parties involved. If you
have any concerns, please reach out.

Please note that this is an independent project and is not officially affiliated
with Hetzner. "Hetzner" is a trademark owned by its respective owners. This
project does not claim any official endorsement by Hetzner, nor does it
guarantee correctness of the data. Use at your own risk.