Hetzner Radar is a tool that tracks the prices of Hetzner's Dedicated Server Auction 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.
server-radar-demo.mov
- 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.
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.
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).
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.
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.wasmTo run the website, simply use the dev target. To build a static version, use
build.
npm install
npm run devContributions 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!
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.