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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Main yt repository
| Date | Stars |
|---|---|
| 2026-07-24 | 557 |
| 2026-07-25 | 557 |
| 2026-07-28 | 557 |
| 2026-07-30 | 557 |
| 2026-08-06 | 557 |
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Momentum
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growth rate 0.00%/day
# The yt Project [](https://pypi.org/project/yt) [](https://pypi.org/project/yt/) [](http://yt-project.org/docs/dev/) [](https://mail.python.org/archives/list/[email protected]//) [](https://mail.python.org/archives/list/[email protected]//) [](https://hub.yt/) [](http://numfocus.org) [](https://numfocus.org/donate-to-yt) <!--- Tests and style ---> [](https://github.com/yt-project/yt/actions/workflows/build-test.yaml) [](https://github.com/yt-project/yt/actions/workflows/bleeding-edge.yaml) [](https://results.pre-commit.ci/latest/github/yt-project/yt/main) [](https://github.com/charliermarsh/ruff) <!--- [](https://codecov.io/gh/yt-project/yt) ---> <a href="http://yt-project.org"><img src="https://raw.githubusercontent.com/yt-project/yt/main/doc/source/_static/yt_logo.png" width="300"></a> yt is an open-source, permissively-licensed Python library for analyzing and visualizing volumetric data. yt supports structured, variable-resolution meshes, unstructured meshes, and discrete or sampled data such as particles. Focused on driving physically-meaningful inquiry, yt has been applied in domains such as astrophysics, seismology, nuclear engineering, molecular dynamics, and oceanography. Composed of a friendly community of users and developers, we want to make it easy to use and develop - we'd love it if you got involved! We've written a [method paper](https://ui.adsabs.harvard.edu/abs/2011ApJS..192....9T) you may be interested in; if you use yt in the preparation of a publication, please consider citing it. ## Code of Conduct yt abides by a code of conduct partially modified from the PSF code of conduct, and is found [in our contributing guide](http://yt-project.org/docs/dev/developing/developing.html#yt-community-code-of-conduct). ## Installation You can install the most recent stable version of yt either with conda from [conda-forge](https://conda-forge.org/): ```shell conda install -c conda-forge yt ``` or with pip: ```shell python -m pip install yt ``` More information on the various ways to install yt, and in particular to install from source, can be found on [the project's website](https://yt-project.org/docs/dev/installing.html). ## Getting Started yt is designed to provide meaningful analysis of data. We have some Quickstart example notebooks in the repository: * [Introduction](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/1\)_Introduction.ipynb) * [Data Inspection](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/2\)_Data_Inspection.ipynb) * [Simple Visualization](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/3\)_Simple_Visualization.ipynb) * [Data Objects and Time Series](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/4\)_Data_Objects_and_Time_Series.ipynb) * [Derived Fields and Profiles](https://github.com/yt-project/yt/tree/main/doc/source/quickstart/
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:112a33500d56c2f0, topic:scientific-computing