databricks-synthetic-data-gen
databricks-synthetic-data-gen is a Data pipelines & ETL skill for AI agents, published by databricks in the databricks-agent-skills repository on GitHub. Skillspace rates databricks-synthetic-data-gen C (77/100) and it passed the safety scan; the rating is based on static analysis only.
Generate realistic synthetic data using Spark + Faker (strongly recommended). Supports serverless execution, multiple output formats (Parquet/JSON/CSV/Delta), and scales from thousands to millions of rows. For small datasets (<10K rows), can optionally generate locally and upload to volumes. Use when user mentions 'synthetic data', 'test data', 'generate data', 'demo dataset', 'Faker', or 'sample data'.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 209
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 1 other repositories, in 1 collections
- Scope
- Vendor-specific: built around one product. Generates synthetic data on the Databricks platform
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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