| Name | Version | Summary | date |
| psynet |
13.0.0 |
PsyNet – complex psychological experiments made easy |
2025-10-24 01:34:51 |
| pyrecap |
0.0.1a0 |
Scientific framework for Reproducible Experiment Capture and Provenance |
2025-09-07 15:49:34 |
| abvelocity |
0.1.0 |
A Python package for accelerating data-driven experiments and analysis |
2025-08-21 07:21:48 |
| rexf |
0.1.0 |
A lightweight Python library for reproducible experiments |
2025-08-16 20:13:08 |
| st4sd-runtime-core |
2.5.1 |
A tool for creating and deploying computational experiments |
2025-04-02 20:24:19 |
| psyserver |
0.6.0 |
A server to host your online studies on. |
2025-02-08 20:51:14 |
| expyrun |
0.2.0 |
Run reproducible experiments from yaml configuration file |
2024-10-24 14:25:36 |
| noworkflow |
2.0.1 |
Supporting infrastructure to run scientific experiments without a scientific workflow management system. |
2024-06-15 15:37:49 |
| experiments-csv |
0.5.5 |
Simple framework for running simulation experiments and recording them in a CSV file |
2024-06-14 07:34:41 |
| digital-experiments |
2.0.4 |
Keep track of digital experiments. |
2024-02-24 12:24:28 |
| py-experimenter |
1.4.0 |
The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results in a unified manner in a database. |
2024-02-20 16:45:16 |
| cw2 |
2.5.1 |
A reengineered framework to run experiments on a computing cluster. |
2024-02-16 11:43:43 |
| kolmogorov-abacus |
0.0.5 |
A/B experiments planning and evaluation tool |
2024-02-07 19:42:13 |
| benchbuild |
6.8 |
This is the experiment driver for the benchbuild study |
2023-10-09 20:08:20 |
| discord-experiments |
0.0.1 |
A wrapper to the Discord Experiments API |
2023-09-19 14:31:20 |
| purplecaffeine |
0.2.5 |
PurpleCaffeine: tracking of quantum programs and experiments |
2023-09-19 01:08:02 |
| sapsan |
0.6.5 |
Sapsan project |
2023-08-17 06:18:02 |
| VelesResearch |
0.0.3 |
Surveys and experiments tool |
2023-06-09 19:45:50 |
| plynx |
1.11.1 |
ML platform |
2023-06-04 19:55:16 |
| mmn-experiments |
1.6.3 |
Library to handle experiment information |
2023-05-03 08:41:03 |