{"categories":[{"label":"Front-Ends","url":"https://skillfed.io/packages/category/database-front-ends"}],"enrichment":{"capability":"A Python client for Apache Atlas REST API v2 that provides lazy-loaded access to metadata entities, classifications, and search operations without requiring direct knowledge of underlying REST endpoints.","skillfed_tags":["metadata-management","data-governance"],"use_cases":["Query and retrieve metadata entities from Apache Atlas by type, attribute, or search criteria without writing raw REST calls.","Programmatically access entity classifications and relationships as Python objects with automatic sub-resource loading.","Integrate Atlas metadata operations into Python data pipelines or governance automation scripts.","Parse qualified names and perform basic searches on Atlas data assets during data discovery workflows."],"what_it_does":"atlasclient is a Python wrapper around Apache Atlas's REST API v2 that abstracts the complexity of direct HTTP calls to metadata operations. It provides object-oriented access to Atlas entities, classifications, and search functionality, with lazy loading so requests are only made when data is actually needed. The client transparently handles multi-step REST operations\u2014for example, fetching classifications for an entity\u2014so you don't need to know the underlying API structure.\n\nThe package is designed for developers integrating with Apache Atlas for data governance, metadata discovery, and lineage tracking. It has no external runtime dependencies, making installation straightforward, but it does require a live Atlas server to connect to. The codebase is marked Pre-Alpha and has not been updated since August 2019, so it may have compatibility gaps with newer Atlas versions or Python releases.","worth_installing":"Yes, if you are working with Apache Atlas v2 and need a Python client to avoid raw HTTP calls. No, if you require active maintenance, modern Python version support beyond 3.6, or compatibility with recent Atlas releases\u2014the package has not been updated since 2019 and carries Pre-Alpha status. The high install friction and lack of runtime dependencies are not blockers, but the stale release history is a real concern for long-term use."},"id":"atlasclient","links":{"html":"https://skillfed.io/packages/atlasclient","md":"https://skillfed.io/packages/atlasclient.md","pypi":"https://pypi.org/project/atlasclient/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2019-08-19","license_spdx":null,"license_treatment":"permissive","name":"atlasclient","python_support":"unspecified","summary":"Apache Atlas client"},"popularity":{"monthly_downloads":1791790,"position":3554,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.0.0"}