# SodaCL reference

- [SodaCL metrics and checks](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/metrics-and-checks.md): SodaCL uses metrics in checks for data quality in one or more datasets.
- [SodaCL optional check configurations](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/optional-config.md): Add optional configurations to your SodaCL checks to optimize and clarify.
- [Anomaly detection checks (deprecated)](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/anomaly-detection.md): Anomaly detection checks use a machine learning algorithm to automatically detect anomalies in your time-series data.
- [Anomaly score checks (deprecated)](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/anomaly-score.md): Anomaly score checks use a machine learning algorithm to automatically detect anomalies in your time-series data.
- [Check template](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/check-template.md): Use a check template to write one SQL query that you can reuse in multiple Soda checks for data quality.
- [Cross checks](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/cross-row-checks.md): Use a SodaCL cross check to compare row counts across datasets in the same, or different, data sources.
- [Distribution checks](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/distribution.md): Use a SodaCL distribution check to monitor the consistency of a column over time.
- [Failed rows checks](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/failed-rows-checks.md): Use a SodaCL failed rows check to explicitly send sample failed rows to Soda Cloud.
- [Filters and variables](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/filters.md): Instead of checking whole sets of data, use filters to specify a portion of data against which to execute a check. Use variables to specify values at scan time.
- [For each](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/for-each.md): Use a SodaCL for each check to specify a list of checks you wish to execute on a multiple datasets.
- [Freshness checks](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/freshness.md): Use a SodaCL freshness check to infer data freshness according to the age of the most recently added row in a table.
- [Group by](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/group-by.md): Use a SodaCL group by configuration to customize the group of data quality check results by category.
- [Group evolution checks](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/group-evolution.md): Use a SodaCL group evolution data quality check to validate changes to the categorical groups you defined.
- [Missing metrics](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/missing-metrics.md): Use missing metrics in SodaCL checks to detect missing values in a dataset.
- [Numeric metrics](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/numeric-metrics.md): Use numeric metrics in SodaCL checks for data quality.
- [Reconciliation checks](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/recon.md): Use SodaCL reconciliation checks to validate target and source data before conducting a data migration in production.
- [Reference checks](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/reference.md): Use a SodaCL reference check to validate that the values in a column in a table are present in a column in a different table.
- [Schema checks](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/schema.md): Use a SodaCL schema check to validate column presence, absence, or position in a table, or the type of data column contains.
- [User-defined checks](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/user-defined.md): Use a SodaCL user-defined check to define elements of a check using SQL expressions or queries.
- [Validity metrics](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/validity-metrics.md): Use validity metrics in SodaCL checks to detect invalid values in a dataset.
- [Troubleshoot SodaCL](https://docs.soda.io/soda-documentation/soda-v3/sodacl-reference/troubleshoot.md): Access guidance for resolving issues with Soda Checks Language checks and metrics.


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