Python bindings for metatensor

Navigation

Verified details

These details have been verified by PyPI
Maintainers
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 Expression: BSD-3-Clause
    SPDX License Expression
  • Author: Guillaume Fraux, Rohit Goswami, Philip Loche, Filippo Bigi, Joseph W. Abbott, Davide Tisi, Alexander Goscinski, Michele Ceriotti
  • Tags machine learning , molecular modeling
  • Requires: Python >=3.10
Classifiers
Report project as malware

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 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 Expression: BSD-3-Clause
    SPDX License Expression
  • Author: Guillaume Fraux, Rohit Goswami, Philip Loche, Filippo Bigi, Joseph W. Abbott, Davide Tisi, Alexander Goscinski, Michele Ceriotti
  • Tags machine learning , molecular modeling
  • Requires: Python >=3.10
Classifiers

Release history Release notifications | RSS feed

0.2.0

0.2.0rc5 pre-release

0.2.0rc4 pre-release

This version

0.2.0rc3 pre-release

0.2.0rc2 pre-release

0.2.0rc1 pre-release

0.1.20

0.1.19

0.1.18 yanked

0.1.17

0.1.16

0.1.15

0.1.14

0.1.13

0.1.12

0.1.11

0.1.10

0.1.9

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-0.2.0rc3.tar.gz (176.9 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

metatensor_core-0.2.0rc3-py3-none-win_amd64.whl (532.9 kB view details)

Uploaded Python 3Windows x86-64

metatensor_core-0.2.0rc3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (634.0 kB view details)

Uploaded Python 3manylinux: glibc 2.17+ x86-64

metatensor_core-0.2.0rc3-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl (593.6 kB view details)

Uploaded Python 3manylinux: glibc 2.17+ ARM64

metatensor_core-0.2.0rc3-py3-none-macosx_11_0_x86_64.whl (581.9 kB view details)

Uploaded Python 3macOS 11.0+ x86-64

metatensor_core-0.2.0rc3-py3-none-macosx_11_0_arm64.whl (549.2 kB view details)

Uploaded Python 3macOS 11.0+ ARM64

File details

Details for the file metatensor_core-0.2.0rc3.tar.gz.

File metadata

  • Download URL: metatensor_core-0.2.0rc3.tar.gz
  • Upload date:
  • Size: 176.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for metatensor_core-0.2.0rc3.tar.gz
Algorithm Hash digest
SHA256 b32890e19d29c6eae5a3e44324463164048bad79d9c63224a79c8fe8884eb0ad
MD5 f8bc2ae90e2a61407753f2a64d3b7081
BLAKE2b-256 f07d5f9af6f9670568f29ed9b0dea6c45c758d009b575c45ab3bf8b5cfb3824d

See more details on using hashes here.

File details

Details for the file metatensor_core-0.2.0rc3-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for metatensor_core-0.2.0rc3-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 c403cfc3c578d81eae24f0b63c4d80cc9382f3edc516a305f39c3b739331868b
MD5 062db8f9ddd96259abdfbd27a636aa69
BLAKE2b-256 b1f6fe777ec6a4bf25fa59bf552803186e20b832ffba9c420777afd8c83d0567

See more details on using hashes here.

File details

Details for the file metatensor_core-0.2.0rc3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for metatensor_core-0.2.0rc3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 fee7f8eda4ea3f939d6ececc1696bb2fb5f4a6878548c9e3635a93197fe157ea
MD5 af37a8391ba8e50952accfab5ba1110f
BLAKE2b-256 70bb6c650d4304a7d8fe47ebe99d8ad8695e72bbf974ecb85bace15a0ccd6d0c

See more details on using hashes here.

File details

Details for the file metatensor_core-0.2.0rc3-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl.

File metadata

File hashes

Hashes for metatensor_core-0.2.0rc3-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl
Algorithm Hash digest
SHA256 2a925769095e2f3dccb3fa61ad776ae684e3380ff1b0e466fd3ac1d13fc253c4
MD5 7990fa9f00a8b324359f8234b6c6a9af
BLAKE2b-256 14a175b67fe2e9729f8df3c01be5795f19d26cec05ae99f34586325e6e3fd7c8

See more details on using hashes here.

File details

Details for the file metatensor_core-0.2.0rc3-py3-none-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for metatensor_core-0.2.0rc3-py3-none-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 9030a8ea2e8d593a5337e44557ccd714fcf2a12988ef5f649d26ff5728d7cdf3
MD5 b3081ff2c1a302b893b281870d1e4b7d
BLAKE2b-256 f6e74c32c273c078de2714b30ca2e7e84a498ff66f4ff027e325f3ac15ab32bc

See more details on using hashes here.

File details

Details for the file metatensor_core-0.2.0rc3-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for metatensor_core-0.2.0rc3-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3b952ecce5bb31bea95c535c4aa0b2b79ae33236f4550f83b8dbdc212e6cc806
MD5 dfc6518dd4b9bcd9017f7074b4fb7735
BLAKE2b-256 58f66e75a878f2bf74104a18bfd8df5b160d931edcb76e97db5ef3d20f29bb88

See more details on using hashes here.

Supported by

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