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Generate realistic, schema-driven datasets using Python or CLI. Built for projects, testing, and ML workflows.
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68
commits
docs: finalized README and this marks Phase 1 completion
78b16c5View on GitHubdocs: finalized README and this marks Phase 1 completion
b4c2544View on GitHubdocs: finalized README and this marks Phase 1 completion
7b01d89View on GitHubdocs: finalized README and this marks Phase 1 completion
a34d057View on GitHubdocs: finalized README and this marks Phase 1 completion
23a54e5View on GitHubdocs: finalized README and this marks Phase 1 completion
4f8c70aView on GitHubtest(core): add comprehensive tests for schema loading, normalization, validation, engine, and CLI commands
c68858aView on GitHubchore(build): update project configuration with version bump and package discovery
0b5faa9View on GitHubfeat(core): improve schema normalization with fallback column naming and enhanced inference
b421431View on GitHubfeat(core): improve schema normalization with fallback column naming and enhanced inference
0e154e6View on GitHubfeat(core): add default schema, generator parameters, and dtype constraints
ca26535View on GitHubchore(deps): update dependencies for data generation and CLI support
5d04bbcView on GitHubchore(build): add pyproject configuration for packaging and dependencies
dedf4b2View on GitHubdocs(examples): add example schemas for quick start and testing
7ead260View on GitHubfeat(core): expose public API with lazy imports and bump version to 0.2.0
deeea9fView on GitHub