An implementation of the Element movers distance for chemical similarity of ionic compositions

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for SurgeArrester from gravatar.com SurgeArrester

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 (LGPLv3) (GPL3)
  • Author: Cameron Hagreaves
  • Tags ChemInformatics, Materials Science, Machine Learning, Materials Representation
Classifiers

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for SurgeArrester from gravatar.com SurgeArrester

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Lesser General Public License v3 (LGPLv3) (GPL3)
  • Author: Cameron Hagreaves
  • Tags ChemInformatics, Materials Science, Machine Learning, Materials Representation
Classifiers

Release history Release notifications | RSS feed

0.5.14

0.5.13

0.5.12

0.5.11

0.5.10

0.5.9

0.5.8

0.5.7

0.5.6

0.5.5

0.5.4

0.5.3

0.5.2

0.5.1

0.5.0

0.4.25

0.4.24

0.4.23

0.4.22

0.4.21

0.4.20

0.4.19

0.4.15

This version

0.4.13

0.4.12

0.4.11

0.4.10

0.4.9

0.4.8

0.4.7

0.4.6

0.4.5

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.19

0.3.18

0.3.17

0.3.16

0.3.15

0.3.14

0.3.13

0.3.12

0.3.11

0.3.10

0.3.9

0.3.8

0.3.7

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.13

0.2.12

0.2.11

0.2.10

0.2.9

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.2

0.2.1

0.2

0.1

Download files

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

Source Distribution

ElMD-0.4.13.tar.gz (1.2 MB view details)

Uploaded Source

File details

Details for the file ElMD-0.4.13.tar.gz.

File metadata

  • Download URL: ElMD-0.4.13.tar.gz
  • Upload date:
  • Size: 1.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.10

File hashes

Hashes for ElMD-0.4.13.tar.gz
Algorithm Hash digest
SHA256 66ead9e2fc317140feceaace7d1aca0731f04c6a7e182d4ca4db6f4a10ac0c9b
MD5 01359cbef1a770c33f421fe4a4777a82
BLAKE2b-256 b38c4754a8e9117d3f6d11f1ad378803ad1eaf089f83f76da648ca6e4e311785

See more details on using hashes here.

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