# soda-core **Repository Path**: HammerMeng/soda-core ## Basic Information - **Project Name**: soda-core - **Description**: No description available - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2024-04-07 - **Last Updated**: 2024-04-07 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

Soda Core

Data quality testing for SQL-, Spark-, and Pandas-accessible data.

License: Apache 2.0 Slack


✔ An open-source, CLI tool and Python library for data quality testing
✔ Compatible with the Soda Checks Language (SodaCL)
✔ Enables data quality testing both in and out of your data pipelines and development workflows
✔ Integrated to allow a Soda scan in a data pipeline, or programmatic scans on a time-based schedule
Soda Core is a free, open-source, command-line tool and Python library that enables you to use the Soda Checks Language to turn user-defined input into aggregated SQL queries. When it runs a scan on a dataset, Soda Core executes the checks to find invalid, missing, or unexpected data. When your Soda Checks fail, they surface the data that you defined as bad-quality. #### Soda Library Consider using **[Soda Library](https://docs.soda.io/soda/quick-start-sip.html)**, an extension of Soda Core that offers more features and functionality, and enables you to connect to a [Soda Cloud](https://docs.soda.io/soda-cloud/overview.html) account to collaborate with your team on data quality. [Install Soda Library](https://docs.soda.io/soda-library/install.html) and get started with a 45-day free trial.
## Get started Soda Core currently supports connections to several data sources. See [Compatibility](/docs/installation.md#compatibility) for a complete list. **Requirements** * Python 3.8 or greater * Pip 21.0 or greater **Install and run** 1. To get started, use the install command, replacing `soda-core-postgres` with the package that matches your data source. See [Install Soda Core](/docs/installation.md) for a complete list.
```shell pip install soda-core-postgres ``` 2. Prepare a `configuration.yml` file to connect to your data source. Then, write data quality checks in a `checks.yml` file. See [Configure Soda Core](/docs/configuration.md). 3. Run a scan to review checks that passed, failed, or warned during a scan. See [Run a Soda Core scan](/docs/scan-core.md). ```shell soda scan -d your_datasource -c configuration.yml checks.yml ``` #### Example checks ```yaml # Checks for basic validations checks for dim_customer: - row_count between 10 and 1000 - missing_count(birth_date) = 0 - invalid_percent(phone) < 1 %: valid format: phone number - invalid_count(number_cars_owned) = 0: valid min: 1 valid max: 6 - duplicate_count(phone) = 0 # Checks for schema changes checks for dim_product: - schema: name: Find forbidden, missing, or wrong type warn: when required column missing: [dealer_price, list_price] when forbidden column present: [credit_card] when wrong column type: standard_cost: money fail: when forbidden column present: [pii*] when wrong column index: model_name: 22 # Check for freshness - freshness(start_date) < 1d # Check for referential integrity checks for dim_department_group: - values in (department_group_name) must exist in dim_employee (department_name) ```
## Documentation * [Soda Core](/docs/overview-main.md) * [Soda Checks Language (SodaCL)](https://docs.soda.io/soda-cl/soda-cl-overview.html)