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

This version

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

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-0.5.13.tar.gz (1.2 MB view details)

Uploaded Source

File details

Details for the file ElMD-0.5.13.tar.gz.

File metadata

  • Download URL: ElMD-0.5.13.tar.gz
  • Upload date:
  • Size: 1.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.12

File hashes

Hashes for ElMD-0.5.13.tar.gz
Algorithm Hash digest
SHA256 caf35820fef9b9a798632dacc7c52447f8fd87ba5ab1c6c089009828a42b06dd
MD5 4cdefe15ad72060270f53fd241ba3d52
BLAKE2b-256 2b1f24aa59692560d64c05d60e5b1ba44f61b50cd9c923fbc02bb0aa534310a1

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