sdv-dev / SDV
Synthetic data generation for tabular data
Why this job: says: synthetic data; topics: synthetic-data
What it does
The Synthetic Data Vault (SDV) is a Python library designed to be your one-stop shop for creating tabular synthetic data. The SDV uses a variety of machine learning algorithms to learn patterns from your real data and emulate them in synthetic data.
Get started
pip install sdv- Maintenance
- Active
- Last commit yesterday
- Stars
- 3,604
- +16 this week
- Licence
- Custom
- Read before business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.2.0
- Released 4 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 8
- Last 90 days
- Issues
- 91% closed
- 150 still open
- Pull requests
- 1,257 merged
- 1 waiting
- Releases
- 115
- 30+ in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| NVIDIA-NeMo / DataDesigner | 2,403 | today | Apache-2.0 | No downloads |
| Yzmblog / DMAD | 251 | 11 days ago | Apache-2.0 | No downloads |
| bespokelabsai / curator | 1,764 | 8 days ago | Apache-2.0 | No downloads |
More: languages, topics, project record and preview image
Languages
- Python 100%
- Makefile <1%
Topics
- synthetic-data
- machine-learning
- relational-datasets
- multi-table
- time-series
- synthetic-data-generation
- sdv
- data-generation
- generative-adversarial-network
- gan
- gans
- deep-learning
Project record
- JobFine-tuning
- StatusListed
- Commits2,372
- Forks429
- Watching42
- Stars in 28 days+31
- CreatedMay 11, 2018
- First seen by usNov 7, 2026
- CheckedNov 10, 2026