Name | Version | Summary | date |
streams.py |
1.3.0 |
A stream library for Python inspired by Java Stream API |
2024-05-16 14:54:50 |
bipl |
0.5.8 |
Openslide/libtiff/GDAL ndarray-like interface and lazy parallel tile-based processing |
2024-05-14 20:22:06 |
tempit |
0.1.7 |
A dead simple time decorator |
2024-05-14 09:57:26 |
BunkrrUploader |
0.10.6 |
Bunkrr uploader supporting parallel uploads |
2024-05-11 03:36:01 |
nx-parallel |
0.2 |
An experimental parallel backend for NetworkX |
2024-05-09 13:39:16 |
just-distribute |
0.1.0 |
Provides a @distribute decorator that enables concurrent execution of functions without boilerplate code. |
2024-05-09 12:34:25 |
schedula |
1.5.11 |
Produce a plan that dispatches calls based on a graph of functions, satisfying data dependencies. |
2024-05-08 12:40:30 |
radyno |
0.0.5 |
Particles tracking and radiation spectrum evaluation |
2024-05-08 08:31:20 |
GofileIOUploader |
0.10.3 |
Gofile.io uploader supporting parallel uploads |
2024-05-05 16:06:34 |
imgparallel |
0.1.0 |
A toolbox for pre-processing and formatting image datasets. |
2024-05-03 14:41:55 |
parfor |
2024.4.0 |
A package to mimic the use of parfor as done in Matlab. |
2024-04-26 16:34:45 |
schedula-core |
1.5.10 |
Produce a plan that dispatches calls based on a graph of functions, satisfying data dependencies. |
2024-04-24 08:53:48 |
fastlbp-imbg |
0.1.2 |
Parallel multiradial LBP features |
2024-04-19 19:14:44 |
taskflow |
5.7.0 |
Taskflow structured state management library. |
2024-04-18 10:24:45 |
h2o-pysparkling-scoring-2.4 |
3.46.0.1.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-04-08 14:21:59 |
h2o-pysparkling-2.4 |
3.46.0.1.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-04-08 14:21:48 |
h2o-pysparkling-scoring-2.3 |
3.46.0.1.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-04-08 14:21:32 |
h2o-pysparkling-2.3 |
3.46.0.1.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-04-08 14:21:21 |
pythagoras |
0.10.56 |
Planet-scale distributed computing in Python. |
2024-04-08 03:25:45 |
turbx |
0.3.9 |
Extensible toolkit for analyzing turbulent flow datasets |
2024-04-05 11:43:54 |