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Showing content from https://github.com/yt-project/libyt below:

yt-project/libyt: In-situ analysis with yt

libyt is an open source C library for simulation, that allows researchers to analyze and visualize data using yt or other Python packages in parallel during simulation runtime.

We can skip the intermediate step of writing data to a hard disk before doing analysis using Python. This greatly reduce the disk usage, and increase the temporal resolution. Converting post-processing analysis Python script using yt to inline Python script is a two-line change.

libyt also provides a Python interface (Python prompt, file-base prompt, and JupyterLab frontend) to access the data in simulations running in an HPC cluster, which can be used to visualize and debug the data in real-time.

See the how to install.

We welcome contributions of all kinds! Whether you're fixing a bug, adding a feature, improving documentation, or reporting an issue -- thank you for helping improve this project.

Please follow the coding style when committing to the git history using pre-commit hooks.

We are committed to fostering a welcoming, respectful, and inclusive environment for everyone involved in this project.

BSD 3-Clause License


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