automode = true
archful = false
summary = "A CLI to work with DataHub metadata"
pypi_version = "0.15.0.2"
pypi_name = "acryl-datahub"
python_name = "python-acryl-datahub"
url = "https://datahubproject.io/"
source = "PyPI"
archive_name = "acryl_datahub-0.15.0.2.tar.gz"
extras = [
    "abs",
    "airflow",
    "all",
    "athena",
    "azure-ad",
    "base",
    "bigquery",
    "bigquery-queries",
    "cassandra",
    "circuit-breaker",
    "clickhouse",
    "clickhouse-usage",
    "cloud",
    "cockroachdb",
    "databricks",
    "datahub",
    "datahub-business-glossary",
    "datahub-kafka",
    "datahub-lineage-file",
    "datahub-lite",
    "datahub-rest",
    "dbt",
    "dbt-cloud",
    "debug",
    "delta-lake",
    "dev",
    "dremio",
    "druid",
    "dynamodb",
    "elasticsearch",
    "feast",
    "fivetran",
    "gcs",
    "glue",
    "grafana",
    "great-expectations",
    "hana",
    "hive",
    "hive-metastore",
    "iceberg",
    "integration-tests",
    "json-schema",
    "kafka",
    "kafka-connect",
    "ldap",
    "lint",
    "looker",
    "lookml",
    "mariadb",
    "metabase",
    "mlflow",
    "mode",
    "mongodb",
    "mssql",
    "mssql-odbc",
    "mysql",
    "neo4j",
    "nifi",
    "okta",
    "oracle",
    "postgres",
    "powerbi",
    "powerbi-report-server",
    "preset",
    "presto",
    "presto-on-hive",
    "pulsar",
    "qlik-sense",
    "redash",
    "redshift",
    "s3",
    "sac",
    "sagemaker",
    "salesforce",
    "sigma",
    "slack",
    "snowflake",
    "snowflake-queries",
    "snowflake-summary",
    "sql-parser",
    "sql-queries",
    "sqlalchemy",
    "starburst-trino-usage",
    "superset",
    "sync-file-emitter",
    "tableau",
    "teradata",
    "testing-utils",
    "trino",
    "unity-catalog",
    "vertica",
]
license_files_present = false