Metatensor
Metatensor is a self-describing sparse tensor data format for atomistic machine
learning and beyond; storing values and gradients of these values together.
Think numpy ndarray or pytorch Tensor equipped with extra metadata for
atomic systems and other point clouds data. The core of this library is written
in Rust and we provide API for C, C++, and Python.
The main class of metatensor is the TensorMap data structure, defining a
custom block-sparse data format. If you are using metatensor from Python, we
additionally provide a collection of mathematical, logical and other utility
operations to make working with TensorMaps more convenient.
Documentation
For details, tutorials, and examples, please have a look at our documentation.
Contributors
Thanks goes to all people that make metatensor possible:
We always welcome new contributors. If you want to help us take a look at our contribution guidelines and afterwards you may start with an open issue marked as good first issue.
4 maintainers
Metadata
4 maintainers
Release files for metatensor 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| metatensor-0.2.0.tar.gz | 5.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| metatensor-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.1 kB
Release files / metatensor-0.2.0.tar.gz
| Download URL | metatensor-0.2.0.tar.gz |
|---|---|
| Size | 5.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
ce3f8a34796d2aaa7e74b2d1392f64a05e85d1ca3e3878c1e9259e6a6a7a8138
|
|
BLAKE2b-256 checksum How to use checksums |
3e58172e96ccdca4d8d572579adc69b593dad79b74497c116ed86979257a5cbd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
|
Release files / metatensor-0.2.0-py3-none-any.whl
| Download URL | metatensor-0.2.0-py3-none-any.whl |
|---|---|
| Size | 3.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
60008fee73f49b349350d9d93dec63ea4e1cf30beceae17d543561d69a7ac393
|
|
BLAKE2b-256 checksum How to use checksums |
f728fd3f02ccb23764af794e953262127a7f2aed35073f460da6f279fe1c2b15
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.6
|
