There are a few other projects on PyPI and GitHub, which are aiming at the same
goals like Skeem. Most notably are those excellent projects by Catherine
Devlin and Iuliia Volkova. Skeem is currently based on ddlgenerator.
- https://pypi.org/project/ddlgenerator/
- https://pypi.org/project/simple-ddl-parser/
- https://pypi.org/project/simple-ddl-generator/
- https://pypi.org/project/omymodels/
- https://pypi.org/project/py-models-parser/
- https://pypi.org/project/table-meta/
See also the impressive frictionless framework and toolkit by OKFN and friends.
- https://github.com/okfn/messytables
- https://github.com/frictionlessdata/tabulator-py
- https://github.com/frictionlessdata/framework
And of course, last but not least, the venerable pandas.DataFrame.to_sql.
A few other projects have not been evaluated yet, but may well contain some gems like handlers for different input data formats.
- https://pypi.org/project/csv2postgresql/
- https://pypi.org/project/csv-schema-inference/
- https://pypi.org/project/csvkit/
- https://pypi.org/project/DDLJ/
- https://pypi.org/project/ddlparse/
- https://pypi.org/project/from-dict/
- https://pypi.org/project/json2hive/
- https://pypi.org/project/jsonschema2ddl/
- https://github.com/better/jsonschema2db
- https://pypi.org/project/jsonschema2rdbmsddl/
- https://pypi.org/project/jsontableschema/
- https://pypi.org/project/ninjasql/
- https://pypi.org/project/pg-metadata/
- https://pypi.org/project/postgres-ddl/
- https://pypi.org/project/type-infer/
- https://pypi.org/project/xlsx-from-json/
- https://pypi.org/project/xml2ddl/