SDGym and synthetic_generator
These tools are complements: SDGym is a benchmarking framework for evaluating the performance of synthetic data generation methods, while synthetic_generator is a tool for generating synthetic data, which could then be evaluated using SDGym.
Maintenance
13/25
Adoption
18/25
Maturity
25/25
Community
23/25
Maintenance
2/25
Adoption
12/25
Maturity
25/25
Community
11/25
Stars: 301
Forks: 67
Downloads: 1,273
Commits (30d): 0
Language: Python
License: —
Stars: 33
Forks: 4
Downloads: 93
Commits (30d): 0
Language: Python
License: MIT
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Stale 6m
About SDGym
sdv-dev/SDGym
Benchmarking synthetic data generation methods.
About synthetic_generator
nhatkhangcs/synthetic_generator
Synthetic Data Generator for Machine Learning Pipelines
Related comparisons
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