Python bindings for metatensor

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for alexgo from gravatar.com alexgo Avatar for lab_cosmo from gravatar.com lab_cosmo Avatar for Luthaf from gravatar.com Luthaf Avatar for PicoCentauri from gravatar.com PicoCentauri

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD-3-Clause)
  • Author: Guillaume Fraux, Davide Tisi, Philip Loche, Joseph W. Abbott, Jigyasa Nigam, Chiheb Ben Mahmoud
  • Tags machine learning, molecular modeling
  • Requires: Python >=3.8
Classifiers

Project description

This package contains the Python bindings to the core C API of metatensor. Most users will want to use the metatensor meta package instead, which also includes function to operate on the data.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for alexgo from gravatar.com alexgo Avatar for lab_cosmo from gravatar.com lab_cosmo Avatar for Luthaf from gravatar.com Luthaf Avatar for PicoCentauri from gravatar.com PicoCentauri

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD-3-Clause)
  • Author: Guillaume Fraux, Davide Tisi, Philip Loche, Joseph W. Abbott, Jigyasa Nigam, Chiheb Ben Mahmoud
  • Tags machine learning, molecular modeling
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

0.1.11

0.1.10

0.1.9

This version

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.1.0

0.1.0rc2 pre-release

0.1.0rc1 pre-release

0.0.0 yanked

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

metatensor_core-0.1.8.tar.gz (125.2 kB view details)

Uploaded Source

Built Distributions

metatensor_core-0.1.8-py3-none-win_amd64.whl (358.3 kB view details)

Uploaded Python 3 Windows x86-64

metatensor_core-0.1.8-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (445.3 kB view details)

Uploaded Python 3 manylinux: glibc 2.17+ x86-64

metatensor_core-0.1.8-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (425.7 kB view details)

Uploaded Python 3 manylinux: glibc 2.17+ ARM64

metatensor_core-0.1.8-py3-none-macosx_11_0_x86_64.whl (415.3 kB view details)

Uploaded Python 3 macOS 11.0+ x86-64

metatensor_core-0.1.8-py3-none-macosx_11_0_arm64.whl (395.7 kB view details)

Uploaded Python 3 macOS 11.0+ ARM64

File details

Details for the file metatensor_core-0.1.8.tar.gz.

File metadata

  • Download URL: metatensor_core-0.1.8.tar.gz
  • Upload date:
  • Size: 125.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.7

File hashes

Hashes for metatensor_core-0.1.8.tar.gz
Algorithm Hash digest
SHA256 6377ce87c60709176c6b6b2d0fda72151775e709973470dfc47ab2df994e8546
MD5 63c7dc666b08e83a4fbc8867915ce436
BLAKE2b-256 e31fcda3c08228cd67abf922742818e8d0e576c7dc7daef763a6f68053b41b08

See more details on using hashes here.

Provenance

File details

Details for the file metatensor_core-0.1.8-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for metatensor_core-0.1.8-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 b96d746b46dd25d3d15cb148954f3de70275bab20349f0e57beece2fb97b4555
MD5 18bb9d7976e82f3931b3b221b29c7059
BLAKE2b-256 e45b1c69d03c4bf9678c0d6c9d4ecb9b1f7e6390e3c16de5acf41115b167364e

See more details on using hashes here.

Provenance

File details

Details for the file metatensor_core-0.1.8-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for metatensor_core-0.1.8-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 62725fcbceb2dd82e67056cda79bb3dc6ea31595cad9c95fed1a6a5672e9a1b6
MD5 f6aef853f8b0130850b210da7cb35cea
BLAKE2b-256 7325a670484f7318b33d14a2a0b08362f094af078bec7a4919bc4d50bafa6fa5

See more details on using hashes here.

Provenance

File details

Details for the file metatensor_core-0.1.8-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for metatensor_core-0.1.8-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 34e8bb3c41cb83781660a2390128e5a396c869c9aaeffdb869d1c97e82dec85a
MD5 c935012522a866f3e017b605223fa224
BLAKE2b-256 8d6f6397e9f5ab71d3405d55795e22b575cedcce7aa82f25976886970c323faf

See more details on using hashes here.

Provenance

File details

Details for the file metatensor_core-0.1.8-py3-none-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for metatensor_core-0.1.8-py3-none-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 787ba7985f5fb46fe5df6fbaf36f6a4f881ec1783b196c7c44231bff2e8e01e7
MD5 94bc6a70e9a4086cab3f692dd528545e
BLAKE2b-256 f15cf1aa3f12db9e1cc7c59983269fd3370995f66f8297b91d4c74f737629da0

See more details on using hashes here.

Provenance

File details

Details for the file metatensor_core-0.1.8-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for metatensor_core-0.1.8-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a3131b4aa353c3ecb0bef807e139fa3ceab57b231d5440563fb30d935c77dae9
MD5 dbed67509be66572648571befbb1e990
BLAKE2b-256 acacf06511dd06ed234a4ff3d5d06aae9d3d375fa365e7620b1851966cbace6b

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page