| Name | Version | Summary | date |
| stepslist |
0.1.4 |
A MkDocs extension to convert <steps> tags into ordered lists. |
2024-12-07 15:08:28 |
| opstool |
1.0.5 |
opstool: A Python package for structural analysis and visualization using OpenSeesPy |
2024-12-07 15:05:42 |
| docify |
1.1.0 |
A script to add docstrings to Python type stubs using reflection |
2024-12-07 15:05:07 |
| sabledocs |
0.14.822 |
Static documentation generator for Protobuf and gRPC |
2024-12-07 15:04:36 |
| functional-parsing-library |
0.0.19 |
A type-safe applicative parsing library |
2024-12-07 15:04:29 |
| byojbz |
0.1.0 |
binary pacages for lambda |
2024-12-07 15:04:15 |
| netbox-secrets |
2.1.1 |
Enhance your secret management with encrypted storage and flexible, user-friendly features. |
2024-12-07 15:00:30 |
| sql2erd |
0.1.1 |
Transforms a .sql file of CREATE TABLE statments into an ERD using Graphviz |
2024-12-07 14:59:44 |
| pepperpy-core |
0.1.0 |
Core package for PepperPy Framework |
2024-12-07 14:58:36 |
| lfy |
0.0.12 |
Translation software for read paper |
2024-12-07 14:58:33 |
| coincident |
0.1 |
Search and analysis of STV Precursor Coincident Datasets |
2024-12-07 14:58:05 |
| echolib |
0.2.0 |
An AI-driven library for generating content using HuggingFace and LMStudio models. |
2024-12-07 14:57:38 |
| maimai-py |
0.1.2 |
The definitive python wrapper for MaimaiCN. |
2024-12-07 14:55:29 |
| jiit-marks |
0.1.2 |
Extract marks data from report PDF obtained from JIIT Webportal (yuck!) |
2024-12-07 14:53:22 |
| quote-module |
0.0.13 |
Your package description |
2024-12-07 14:52:13 |
| dappier |
0.1.3 |
The Dappier Python SDK provides an easy-to-use interface for interacting with the Dappier API. |
2024-12-07 14:51:14 |
| gym-examples |
3.0.373 |
A custom environment for multi-agent reinforcement learning focused on WSN routing. |
2024-12-07 14:50:27 |
| jamurai |
0.1.3 |
Jinja wrapper for file and directory transformation and injection |
2024-12-07 14:47:46 |
| nixhelloworld |
0.0.1 |
Simple hello world script |
2024-12-07 14:47:04 |
| FunctionEncoder |
0.1.1 |
A package for learning basis functions over arbitrary function sets. This allows even high-dimensional problems to be solved via a minimal number of basis functions. This allows for zero-shot transfer within these spaces, and also a mechanism for fully informative function representation via the coefficients of the basis functions. Hilbert spaces are nifty. |
2024-12-07 14:46:56 |