EvoX Genesis
EvoX Genesis turns a high-level software objective into a persistent recursive software world: finite-lived agents recursively develop software, while only accepted consequences persist across develop
Simple, fast Empirical Dynamic Modeling library for Python
Translation pending
Developer toolsPython · JavaScriptGitHub @FujishigeTemmaOnlineOwner unconfirmed
Have you tried it? One tap is enough. No sign-in needed.
No updates detected yet. GitHub releases will appear here.
Owners of public repositories under a personal GitHub account can sign in to verify ownership and manage the introduction themselves. No administrator approval is needed.
Sign in, generate a verification file, and commit it to this repository’s default branch within 30 minutes. Files on other branches or forks do not count. Then check the file below to manage the project without administrator approval. Keep the file to retain your access.
If needed, you will go to sign-in. After signing in, return here and press your chosen verification button again.
Run /nomorevibe verify in your project folder to verify ownership and manage the introduction yourself.
Verify in one minuteAsk about other verification options
The maker's introduction consists of the line above. Read the repository README for more details. Repository README ↗
Loading the full README.
Read the full README ↗This library is a collection of tools and utilities that are useful for Empirical Data Modeling (EDM) and related tasks.
The library is designed to be fast and lightweight, and easy to use.
Implementations are tested against the pyEDM.
See Benchmarks on the website.
To install the library, you can use pip:
pip install edmkit
Or you can also use uv:
uv add edmkit
# Run all tests
uv run pytest
# Skip slow tests
uv run pytest -m "not slow"
# Run with CI profile (more hypothesis examples)
HYPOTHESIS_PROFILE=ci uv run pytest