skydiscover
AI-Driven Scientific, Algorithmic, and Systems Discovery
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# Installation Guide
1. Get the code
git clone https://github.com/skydiscover-ai/skydiscover
Downloads the entire project code from GitHub to your computer.
cd skydiscover
Moves into the project folder you just downloaded.
2. Official Install Script
Easy RecommendedPrerequisites
- Python 3 Python is required to use pip.
pip install harbor
Installs the package published on PyPI directly β no need to clone the source.
After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.
Pulled directly from this repo's README.
3. Docker
EasyPrerequisites
- Git Needed to download the project code from GitHub.
- Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
β οΈ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.
docker build -f benchmarks/ADRS/cloudcast/evaluator/Dockerfile -t skydiscover .
Builds a runnable image based on the Dockerfile.
docker run -p 8080:80 skydiscover
Runs the built image as an actual container.
Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.
4. Python
EasyPrerequisites
pip install harbor
Installs the package published on PyPI directly β no need to clone the source.
uv pip install -e external_repos/ShinkaEvolve
Installs the Python libraries listed in requirements.txt (or similar).
If it runs without errors and prints output in the terminal, it worked.
Pulled directly from this repo's README.
// repository documentation
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