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Data Contract CLI
An open-source command-line tool for working with data contracts based on the Open Data Contract Standard (ODCS).
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- llms.txt
- https://cli.datacontract.com/llms.txt
- llms-full.txt
- https://cli.datacontract.com/llms-full.txt
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- 2006-05-11
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- 2026-10-21T12:16:10.140Z
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Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T18:36:21.253Z. Cached copy · Source on datacontract.com
# Data Contract CLI
> An open-source command-line tool for working with data contracts based on the Open Data Contract Standard (ODCS).
This file contains links to documentation sections following the llmstxt.org standard.
## Table of Contents
- [What is Data Contract CLI?](https://cli.datacontract.com/docs.md): An open-source command-line tool for working with data contracts based on the Open Data Contract Standard (ODCS).
- [Quickstart](https://cli.datacontract.com/quickstart.md): Install the Data Contract CLI and test, export, and import your first data contract.
- [Open Data Contract Standard](https://cli.datacontract.com/open-data-contract-standard.md): The Data Contract CLI natively uses the Open Data Contract Standard (ODCS) as its contract format.
- [Installation](https://cli.datacontract.com/installation.md): Install the Data Contract CLI with uv, uvx, pip, pipx, or Docker, and choose the optional dependencies you need.
- [Test your Data](https://cli.datacontract.com/testing.md): Run schema and quality tests against your data source — Snowflake, BigQuery, Databricks, S3, Postgres, Kafka, and more.
- [HTTP API](https://cli.datacontract.com/testing/api.md): Test the JSON or YAML responses of a REST API's GET or POST endpoint against a data contract, created from its OpenAPI document or a sample response.
- [Amazon Athena](https://cli.datacontract.com/testing/athena.md): Create a data contract from your Athena tables and test the actual data against it — in about 5 minutes.
- [Azure Blob / ADLS](https://cli.datacontract.com/testing/azure.md): Create a data contract from files on Azure Blob storage or ADLS Gen2 and test them against it.
- [Google BigQuery](https://cli.datacontract.com/testing/bigquery.md): Create a data contract from your BigQuery tables and test the actual data against it — in about 5 minutes.
- [ClickHouse](https://cli.datacontract.com/testing/clickhouse.md): Create a data contract from your ClickHouse tables and test the actual data against it.
- [Databricks](https://cli.datacontract.com/testing/databricks.md): Create a data contract from Unity Catalog and test the actual data against it — in about 5 minutes.
- [Spark DataFrame](https://cli.datacontract.com/testing/dataframe.md): Test in-memory Spark DataFrames in a pipeline (programmatic).
- [DuckDB](https://cli.datacontract.com/testing/duckdb.md): Test the tables inside a DuckDB database file.
- [Exasol](https://cli.datacontract.com/testing/exasol.md): Test the actual data in Exasol against your data contract.
- [Google Cloud Storage](https://cli.datacontract.com/testing/gcs.md): Create a data contract from files on Google Cloud Storage and test them against it.
- [SAP HANA](https://cli.datacontract.com/testing/hana.md): Test the actual data in SAP HANA Cloud and SAP Datasphere against your data contract.
- [Apache Hive](https://cli.datacontract.com/testing/hive.md): Create a data contract from your Hive tables and test the actual data against it.
- [Apache Iceberg]
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