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

This version

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-0.4.15.tar.gz (1.2 MB view details)

Uploaded Source

File details

Details for the file ElMD-0.4.15.tar.gz.

File metadata

  • Download URL: ElMD-0.4.15.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-0.4.15.tar.gz
Algorithm Hash digest
SHA256 1eb38b05307597311b7b0c44e8a80183958893ff84105fc8a1ab931dd1e22eb2
MD5 8031b606051a46fc354b13986fcff76a
BLAKE2b-256 34724bc947fbb1090410f3b44eeabf08a5b4c9f5f48de826c89129fbf10836b2

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