{"library":"dbt-loom","type":"library","category":null,"description":"dbt-loom is a dbt-core plugin designed to facilitate multi-project deployments by enabling the injection of public model definitions from upstream dbt artifacts into downstream dbt projects. It supports various sources for these artifacts, including local files, remote HTTP(S) endpoints, dbt Cloud, and major object storage providers like S3, Google Cloud Storage, and Azure Storage. The library is currently at version 0.9.4 and is under active development, receiving regular updates to enhance features and maintain compatibility with dbt-core.","language":"python","status":"active","version":"0.9.4","tags":["dbt","dbt-core","data mesh","multi-project","data orchestration","plugin"],"last_verified":"Mon May 25","install":[{"cmd":"pip install dbt-loom","imports":["dbt-loom functionality is typically configured via dbt_loom.config.yml and hooks into dbt-core's plugin system. Direct Python imports are not usually required by end-users."]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/dbt-loom/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":19.3,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/dbt-loom/compatibility"}}