
Security News
Deno 2.4 Brings Back deno bundle, Improves Dependency Management and Observability
Deno 2.4 brings back bundling, improves dependency updates and telemetry, and makes the runtime more practical for real-world JavaScript projects.
CO
ndensed M
atter P
hysics N
umerical A
nalytics L
ibrary (COMPNAL
) is a numerical calculation library in the field of condensed matter physics. This library aims to provide a comprehensive set of numerical methods and algorithms tailored for analyzing various condensed matter systems.
COMPNAL
can calculate the following models on the following lattices by the following solvers.
We are actively working on expanding COMPNAL
with the following upcoming features.
Classical model
Quantum model
Only for Linux and MacOS.
pip install compnal
To install the latest release of compnal
from the source, use the following command:
pip install git+https://github.com/K-Suzuki-Jij/compnal.git
Before installation, make sure that the following dependencies are installed.
COMPNAL
depends on the following libraries.
First, install the dependencies using Homebrew.
brew install cmake libomp
Then, clone this repository and install COMPNAL
.
python -m pip install . -vvv
Run the test to check if the installation is successful.
python -m pytest tests
First, install the dependencies using apt.
sudo apt install cmake
Then, clone this repository and install COMPNAL
.
python -m pip install . -vvv
Run the test to check if the installation is successful.
python -m pytest tests
FAQs
Condensed Matter Physics Numerical Analytics Libirary
We found that compnal demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Deno 2.4 brings back bundling, improves dependency updates and telemetry, and makes the runtime more practical for real-world JavaScript projects.
Security News
CVEForecast.org uses machine learning to project a record-breaking surge in vulnerability disclosures in 2025.
Security News
Browserslist-rs now uses static data to reduce binary size by over 1MB, improving memory use and performance for Rust-based frontend tools.