| Name | Version | Summary | date |
| masterblaster.py |
0.1.0rc9 |
Python API wrapper for masterblaster.gg |
2024-08-06 11:51:14 |
| AkitaCode |
2.0.11 |
The AkitaCode parser and compiler. |
2024-08-06 11:45:13 |
| PyAstronomy |
0.22.0 |
A collection of astronomy related tools for Python. |
2024-08-06 11:34:08 |
| pygments-anyscript |
1.4.0 |
Pygments lexer and style for the AnyScript language. AnyScript is the |
2024-08-06 10:49:06 |
| engagespot |
1.0.1 |
Python library for communicating with Engagespot REST API. |
2024-08-06 10:41:31 |
| selenium-driver-setup |
0.1.4 |
A utility package for Selenium WebDriver setup and handling. |
2024-08-06 10:31:04 |
| utilitilib |
0.0.3 |
A python utility package that provides commonly used functionalities or helper methods. |
2024-08-06 10:09:40 |
| cnspy-rosbag2csv |
0.2.6 |
ROS1 rosbag to CSV file converter and vice versa. |
2024-08-06 10:06:16 |
| mastersign-datascience |
0.3.1 |
High level helpers for data science in Python with Pandas. |
2024-08-06 10:04:24 |
| maya-sdk |
0.1.1 |
Maya Insights python SDK |
2024-08-06 10:02:47 |
| hoadleyYaPu |
0.2 |
A package for Black-Scholes option pricing and implied volatility calculation(European Options only) |
2024-08-06 09:51:10 |
| svg2gcode |
3.3.5 |
svg2gcode: convert an SVG (Scalable Vector Graphic) image to gcode. |
2024-08-06 09:41:52 |
| mumaxxr |
0.0.17 |
xarray engine to load ovf files from mumax simulations into xarray |
2024-08-06 09:34:26 |
| ao3-parser |
1.0.0 |
Package for parsing AO3 pages and creating urls based on requirements. |
2024-08-06 09:28:56 |
| afc-svm-imbalanced-learning |
0.10.0 |
Simple implementation of the papar Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning |
2024-08-06 09:25:29 |
| Algo-Modules |
0.1 |
A sample package |
2024-08-06 09:01:40 |
| schp |
0.1 |
Package of Self Correction for Human Parsing |
2024-08-06 08:44:47 |
| django-channels-utils |
0.2.2 |
This is a package to improve django-channels functionality |
2024-08-06 08:44:13 |
| edugenome |
0.2.8 |
It consists of three genetic algorithms that are simply implemented with Python code for genetic algorithm training: creating a number sum of 20, creating (4, 4) images, and implementing linear regression. |
2024-08-06 08:40:24 |
| hoadley |
0.1 |
A package for Black-Scholes option pricing and implied volatility calculation(European Options only) |
2024-08-06 08:40:10 |