Name | Version | Summary | date |
neurograd |
4.9.9 |
A Pure Python Deep Learning Framework with Automatic Differentiation |
2025-09-16 16:43:34 |
taku-cli |
0.2.1 |
Simple script manager for creating, running, and syncing bash scripts |
2025-09-16 16:42:22 |
pymongo |
4.15.1 |
PyMongo - the Official MongoDB Python driver |
2025-09-16 16:39:47 |
odoo-addon-account-payment-sepa-base |
18.0.2.1.0 |
Base module for SEPA file generation |
2025-09-16 16:39:41 |
sinko |
0.1.0 |
A flexible backup tool supporting local and remote backups using rsync and SSH |
2025-09-16 16:39:02 |
gpcam |
8.2.9 |
Autonomous data acquisition |
2025-09-16 16:39:01 |
cumulus-library |
4.7.1 |
Clinical study SQL generation for data derived from bulk FHIR |
2025-09-16 16:38:29 |
batchee |
1.5.2 |
Determine how to group together input files into batches for subsequent concatenation |
2025-09-16 16:38:25 |
dataskipper-boat |
1.0.2 |
IEC61850/Modbus monitoring, control and data collection system |
2025-09-16 16:38:21 |
pulse-msal |
0.1.2 |
Add your description here |
2025-09-16 16:38:14 |
swaystatus |
0.10.2 |
Generate a status line for swaybar |
2025-09-16 16:38:11 |
scythe-ttp |
0.15.10 |
An extensible framework for emulating attacker TTPs with Selenium. |
2025-09-16 16:38:11 |
pypgsvg |
1.1.38 |
Generate SVG Entity Relationship Diagrams from PostgreSQL database dump files |
2025-09-16 16:37:57 |
lusid-scheduler-sdk |
2.1.143 |
FINBOURNE Scheduler API |
2025-09-16 16:37:45 |
napistu-torch |
0.1.0 |
PyTorch-based toolkit for working with Napistu network graphs |
2025-09-16 16:37:30 |
pytest-mock |
3.15.1 |
Thin-wrapper around the mock package for easier use with pytest |
2025-09-16 16:37:27 |
tatva |
0.1.2 |
Lego-like building blocks for finite element analysis |
2025-09-16 16:37:02 |
typedb-driver |
3.5.0 |
TypeDB Driver for Python |
2025-09-16 16:36:49 |
programming-game |
0.0.17 |
A Python client for the Programming Game. |
2025-09-16 16:35:43 |
decord2 |
2.0.0 |
Decord2 is a high-performance, efficient video decoding and loading library for deep learning research, featuring smart shuffling, random frame access, GPU acceleration, and seamless integration with popular frameworks. |
2025-09-16 16:35:15 |