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.
- Documents: https://libyt.readthedocs.io/
yt: a Python package for analyzing and visualizing volumetric data. It is the core method thatlibytuses to provide data analysis pipeline for simulations.yt_libyt: a Python package that provides aytfrontend. It makes converting post-processing scripts usingytinto inline scripts a two-line change.jupyter_libyt: a JupyterLab frontend forlibyt. It provides methods to connect to simulations.
See the how to install.
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Please follow the coding style when committing to the git history using pre-commit hooks.
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BSD 3-Clause License