Skip to main content

Nuna Sql Tools contains utilities to create and manipulate schemas and sql statements.

Project description

This package contains Python modules for helping developers produce and maintain data analysis projects. In particular:

  • dataschema: a library for defining data schemas using Python dataclasses, that that can be easily converted between protobuffers, Scala case classes, sql (ClickHouse) create table statements, Parquet Arrow schemas and so on, from a central Python based representation. Includes facilities to generate sample date and compare schemas for validations.

  • sql_analyze: a library for analyzing SQL statements. In particular the raw SQL statments are parsed and converted to a Python based data structure. From here, they can be converted to a data graph, visualized, and information about the lineage of tables and columns can be infered. Support for now SparkSql and ClickHouse dialects for parsing.

To try out the SQL Analyze Viewer, which uses the sql_analyze library to visualize SQL statements, you can run sql_analyze-viewer after installing.

For more details please check the GitHub project.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

nuna_sql_tools-0.0.34-py3-none-any.whl (1.3 MB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page