| Name | Version | Summary | date |
| mlprimitives |
0.4.1 |
Pipelines and primitives for machine learning and data science. |
2024-11-15 16:38:41 |
| pyzo |
4.18.0 |
the Python IDE for scientific computing |
2024-11-15 08:00:26 |
| xploreds |
0.0.1 |
Easy-to-use package of the most relevant Data Science techniques. |
2024-11-14 02:53:18 |
| scipion-pyworkflow |
3.10.5 |
Simple workflow platform used in scientific applications, initially developed within the Scipion framework for image processing in Electron Microscopy. |
2024-11-13 10:37:35 |
| schemist |
0.0.1 |
Organizing and processing tables of chemical structures. |
2024-10-12 17:37:09 |
| gputools |
0.2.16 |
OpenCL accelerated volume processing |
2024-10-11 21:09:43 |
| PyCZINV |
0.1.4 |
Python package for geophysical inversion tailored to Critical Zone Science. |
2024-10-11 17:46:21 |
| MDPOW |
0.9.0 |
A library for computing solvation/water partitioning coefficients using molecular dynamics simulations |
2024-10-11 16:29:58 |
| scitrack |
2024.10.8 |
SciTrack provides basic logging capabilities to track scientific computations. |
2024-10-07 23:58:47 |
| knowledge-graph-inference |
0.1.4 |
Tools for performing knowledge inference. |
2024-10-07 14:25:06 |
| hts-tools |
0.0.4.post2 |
Parsing and analysing platereader absorbance and fluorescence data. |
2024-10-07 09:32:45 |
| yunta |
0.0.1.post1 |
Predicting protein-protein interactions and structures from multiple sequence alignments. |
2024-09-22 20:46:32 |
| rf2t-micro |
0.0.1.post1 |
Stripped-down RosettaFold-2track. |
2024-09-22 17:25:33 |
| great-expectations-experimental |
0.1.20240917055 |
Always know what to expect from your data. |
2024-09-17 19:33:47 |
| pwkit |
1.2.1 |
Miscellaneous scientific and astronomical tools |
2024-09-13 13:40:22 |
| ydata-synthetic |
2.0.0 |
Synthetic data generation methods with different synthetization methods. |
2024-09-10 13:41:43 |
| frank |
1.2.3 |
Frankenstein, the flux reconstructor |
2024-08-22 16:27:15 |
| M-LOOP |
3.3.5 |
M-LOOP: Machine-learning online optimization package. A python package of automated optimization tools - enhanced with machine-learning - for quantum scientific experiments, computer controlled systems or other optimization tasks. |
2024-08-14 21:34:01 |
| csedu |
0.1.0 |
A package for computer science education containing modules for image processing and chart creation. |
2024-08-09 08:53:53 |
| scuamate |
0.0.4 |
Some Cloud Utilities to Advance Monitoring of Animals and Their Ecosystems: utilities to help run, maintain, check, and back up the cloud infrastructure for next-generation wildlife monitoring projects (including SpaceCows and the National Koala Monitoring Program) |
2024-08-06 03:32:01 |