| Name | Version | Summary | date |
| biomedical-data-generator |
0.1.4 |
Generate synthetic data for data science, machine learning, and statistics. |
2025-10-06 10:26:17 |
| LDAQ |
1.1.0 |
Data acquisition and generation with live visualization. |
2025-09-02 08:21:20 |
| flareverb |
0.0.2 |
An Open-Source Library for RIR Synthesis and Analysis in PyTorch based on FLAMO |
2025-08-23 05:42:22 |
| syda |
0.0.2 |
A Python library for AI-powered synthetic data generation with referential integrity |
2025-08-23 04:56:04 |
| streamgen |
1.1.3 |
🌌 a framework for generating streams of labeled data. |
2025-08-20 13:39:55 |
| boot_dummy |
0.3.2 |
A Python package to create synthetic data with realistic statistical properties. |
2025-07-28 01:42:36 |
| infinigen |
1.15.5 |
Infinite Photorealistic Worlds using Procedural Generation |
2025-07-26 14:04:17 |
| petsard |
1.5.1 |
Facilitates data generation algorithm and their evaluation processes |
2025-07-24 06:30:41 |
| realtabformer |
0.2.3 |
A novel method for generating tabular and relational data using language models. |
2025-07-14 16:38:30 |
| S2Generator |
0.0.1 |
A series-symbol (S2) dual-modality data generation mechanism, enabling the unrestricted creation of high-quality time series data paired with corresponding symbolic representations. |
2025-02-23 03:21:13 |
| smolmodels |
0.9.0 |
A framework for building ML models from natural language |
2025-02-21 18:40:43 |
| regex-enumerator |
1.0.0 |
Enumerate all strings that match a given regex |
2025-01-04 00:56:19 |
| gecko-syndata |
0.6.3 |
Generation and mutation of realistic data at scale. |
2024-12-04 08:32:22 |
| be-great |
0.0.8 |
Generating Realistic Tabular Data using Large Language Models |
2024-10-29 16:28:11 |
| catclass |
0.1.2 |
A robust framework for generating synthetic categorical datasets for evaluation or testing purposes. |
2024-07-25 16:40:15 |
| rr-infinigen |
1.3.4 |
Infinite Photorealistic Worlds using Procedural Generation |
2024-06-10 07:39:15 |
| causal-playground |
0.1.2 |
Interactively generating causal data from structural causal models. |
2024-05-21 09:45:38 |
| REaLTabFormer |
0.1.7 |
A novel method for generating tabular and relational data using language models. |
2024-04-28 18:00:11 |