{"categories":[{"label":"Software Development","url":"https://skillfed.io/packages/category/software-development/14"},{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/6"},{"label":"Database","url":"https://skillfed.io/packages/category/database/4"}],"enrichment":{"capability":"Provides a Python API to interact with GoodData Cloud or GoodData.CN installations, enabling inspection and consumption of semantic models, workspaces, data sources, visualizations, and computed analytics.","skillfed_tags":["analytics-sdk","gooddata-integration","semantic-layer"],"use_cases":["Embed GoodData analytics into Python applications by fetching visualization data and rendering it in custom dashboards.","Automate data extraction from GoodData workspaces for downstream processing, reporting, or data warehouse loading.","Inspect and manage workspace metadata, data sources, users, and permissions programmatically.","Build scheduled analytics jobs that compute visualizations and export results to files or external systems.","Integrate GoodData as a semantic layer in Python data pipelines for governed metric and dimension access."],"what_it_does":"The gooddata-sdk package is a Python client library for the GoodData analytics platform. It abstracts the underlying HTTP API into a clean, object-oriented interface for querying workspaces, managing data sources, retrieving visualizations, and computing analytics results. The SDK handles authentication, request serialization, and response parsing, allowing developers to focus on analytics logic rather than API mechanics.\n\nTypical usage involves creating an SDK instance with a host URL and authentication token, then using service objects (visualizations, tables, compute, catalog) to inspect metadata and retrieve data. The package depends on requests for HTTP communication, cattrs and attrs for data serialization, and gooddata-api-client for lower-level API bindings. It targets modern Python versions (3.10+) and is actively maintained with recent releases.","worth_installing":"Yes. The package is actively maintained, has low install friction, carries a permissive MIT license, and provides a well-structured API for GoodData integration. It is suitable for production use if you have a GoodData Cloud or GoodData.CN instance. No known vulnerabilities as of the fact sheet date."},"id":"gooddata-sdk","links":{"html":"https://skillfed.io/packages/gooddata-sdk","md":"https://skillfed.io/packages/gooddata-sdk.md","pypi":"https://pypi.org/project/gooddata-sdk/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-07","license_spdx":"MIT","license_treatment":"permissive","name":"gooddata-sdk","python_support":"supports_current","summary":"GoodData Cloud Python SDK"},"popularity":{"monthly_downloads":162828,"position":10585,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.72.0"}