An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.

codeentropy

CodeEntropy is a Python package for computing the configurational entropy of macromolecular systems using forces sampled from molecular dynamics (MD) simulations. It implements the multiscale cell correlation method to provide accurate and efficient entropy estimates, supporting a wide range of applications in molecular simulation and statistical mechanics.

Ecosystem
pypi.org
Latest Release
2.0.0
18 days ago
Versions
13
Downloads
251 last month
2.0.0
Published: 18 days ago
Registry - Documentation - Download sha256-8011d71be1453...
1.0.7
Published: 2 months ago
Registry - Documentation - Download sha256-51248a0f5b77c...
1.0.6
Published: 4 months ago
Registry - Documentation - Download sha256-dbae7c086f101...
1.0.5
Published: 4 months ago
Registry - Documentation - Download sha256-edd5309af3a5a...
1.0.4
Published: 4 months ago
Registry - Documentation - Download sha256-fc7ac57dcb8df...
1.0.3
Published: 6 months ago
Registry - Documentation - Download sha256-8bc2c849a6da0...
1.0.2
Published: 6 months ago
Registry - Documentation - Download sha256-7284ff5657c88...
1.0.0
Published: 7 months ago
Registry - Documentation - Download sha256-c7e643e30fa42...
0.3.9
Published: over 3 years ago
Registry - Documentation - Download sha256-9b6cb900c1476...
0.3.8
Published: over 3 years ago
Registry - Documentation - Download sha256-ac438eb5676a8...
0.3.7
Published: over 3 years ago
Registry - Documentation - Download sha256-44c4174eeae28...
0.3.6
Published: over 3 years ago
Registry - Documentation - Download sha256-3cf74e0ff9650...
0.3.4
Published: over 3 years ago
Registry - Documentation - Download sha256-59af510f84230...
Links
Registry pypi.org
Source Repository
Homepage Homepage
Docs Documentation
JSON API View JSON
CodeMeta codemeta.json
Package Details
PURL pkg:pypi/codeentropy
spec
License MIT
First Release over 3 years ago
Last Synced 18 days ago
Repository
Stars 11 on GitHub
Forks 1 on GitHub