| Name | Version | Summary | date |
| dtpu |
0.6.2 |
Utilities for text processing tasks with Deep NLP |
2025-01-21 15:00:05 |
| quixstreams |
3.6.1 |
Python library for building stream processing applications with Apache Kafka |
2025-01-17 14:28:46 |
| rs-client-libraries |
0.2a9 |
Copernicus Sentinel rs-client library and processing workflows. |
2025-01-14 17:43:04 |
| mrpro |
0.250107 |
MR image reconstruction and processing package specifically developed for PyTorch. |
2025-01-07 23:10:43 |
| kstreams |
0.26.4 |
Build simple kafka streams applications |
2025-01-06 13:43:45 |
| auto-editor |
26.1.1 |
Auto-Editor: Effort free video editing! |
2025-01-05 23:05:13 |
| oiio-static-python |
3.0.2.0.1 |
Unofficial OpenImageIO Python wheels, including OpenColorIO |
2025-01-02 19:40:16 |
| oiio-python |
3.0.2.0.1 |
Unofficial OpenImageIO Python wheels, including OpenColorIO |
2025-01-02 19:35:20 |
| py5 |
0.10.4a2 |
Processing for CPython |
2024-12-31 03:14:28 |
| dataprocessor_vb |
0.1.1 |
A comprehensive data processing library. |
2024-12-21 14:02:12 |
| telegram-sticker-utils |
0.2.16 |
easy and fast processing of telegram stickers |
2024-12-19 14:30:55 |
| sidpy |
0.12.6 |
Python utilities for storing, visualizing, and processing Spectroscopic and Imaging Data (SID) |
2024-12-17 15:41:12 |
| bmxp |
0.2.3 |
LCMS Processing tools used by the Metabolomics Platform at the Broad Institute. |
2024-12-09 18:13:32 |
| numpypy |
1.17.2 |
(It is an alias for PyPyNum) PyPyNum is a multifunctional Python math lib. It includes modules for math, data analysis, array ops, crypto, physics, randomness, data prep, stats, solving eqns, image processing, interp, matrix calc, and high-precision math. Designed for scientific computing, data science, and machine learning, PyPyNum provides efficient and versatile tools. |
2024-12-08 23:26:38 |
| PyPyNum |
1.17.2 |
PyPyNum is a multifunctional Python math lib. It includes modules for math, data analysis, array ops, crypto, physics, randomness, data prep, stats, solving eqns, image processing, interp, matrix calc, and high-precision math. Designed for scientific computing, data science, and machine learning, PyPyNum provides efficient and versatile tools. |
2024-12-08 23:22:59 |
| pyrio |
1.3.4 |
Functional-style Streams library for processing collections. Supports querying files (json, toml, yaml, xml, csv, tsv) - as well as creating and updating them. Provides easy integration with itertools |
2024-12-08 11:19:19 |
| datatrove |
0.4.0 |
HuggingFace library to process and filter large amounts of webdata |
2024-12-06 18:38:06 |
| dsw-command-queue |
4.13.0 |
Library for working with command queue and persistent commands |
2024-12-05 08:07:20 |
| emiproc |
2.3.0 |
Emission Processing Tool |
2024-12-04 15:30:58 |
| okada |
0.0.1 |
A Python toolkit for evaluating analytical deformation models |
2024-12-02 04:45:35 |