sdv-dev / SDGym
Benchmarking synthetic data generation methods.
Why this job: says: synthetic data; topics: synthetic-data
What it does
The Synthetic Data Gym (SDGym) is a benchmarking framework for modeling and generating synthetic data. Measure performance and memory usage across different synthetic data modeling techniques – classical statistics, deep learning and more!
Get started
pip install sdgym- Maintenance
- Active
- Last commit 6 days ago
- Stars
- 313
- +1 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.16.1
- Released 6 days ago
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- 3
- Last 90 days
- Issues
- 90% closed
- 25 still open
- Pull requests
- 378 merged
- 4 waiting
- Releases
- 31
- 13 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 99%
- Makefile 1%
- Dockerfile <1%
Topics
- synthetic-data
- benchmark
- tabular-data
- synthetic-data-vault
- sdgym-synthesizers
- generative-adversarial-network
- deep-learning
- generative-ai
- generative-models
Project record
- JobFine-tuning
- StatusListed
- Commits668
- Forks69
- Watching12
- Stars in 28 days+1
- CreatedFeb 27, 2019
- First seen by usNov 7, 2026
- CheckedNov 10, 2026