gooddata-api-client
OpenAPI definition
Decision gist · record as of 2026-08-14
Yes, if you are building Python applications or scripts that interact with GoodData workspaces. The low install friction, active maintenance, permissive license, and absence of known vulnerabilities make it a safe choice. The main caveat is that it is auto-generated and offers no independent documentation beyond the OpenAPI spec—you will need GoodData API documentation to use it effectively.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.6 and a running GoodData instance or service endpoint to connect to.
- Low friction install with only two lightweight runtime dependencies (urllib3 and python-dateutil).
- Actively maintained with a release 7 days old, indicating ongoing support.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal legal friction for commercial or private projects.
last release 2026-08-07 (7 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 157,675 downloads/mo, #10,747 on PyPI
Alternatives
Verify before relying
pip install gooddata-api-client
import gooddata_api_client
from gooddata_api_client.api import ai_api
configuration = gooddata_api_client.Configuration(host="http://localhost")
with gooddata_api_client.ApiClient(configuration) as api_client:
api_instance = ai_api.AIApi(api_client)
# Call API methods like create_entity_knowledge_recommendations()- Whether the package is actively maintained by GoodData or community-generated; description notes it is auto-generated by OpenAPI Generator but maintenance status is unclear.
- API stability and backward compatibility guarantees across version updates.
- Authentication mechanism and credential handling requirements for connecting to GoodData instances.
What it is and what it does
gooddata-api-client is an auto-generated Python wrapper around the GoodData REST API, built from OpenAPI specifications. It provides typed access to GoodData workspace operations—particularly around knowledge recommendations and memory items—without requiring you to construct HTTP requests manually.
The package is a thin client layer that handles serialization, deserialization, and endpoint routing. It depends only on urllib3 for HTTP transport and python-dateutil for timestamp handling, keeping installation lightweight. Because it is generated from OpenAPI definitions, its API surface mirrors the underlying GoodData service exactly, making it useful for automation, integration, and scripting against GoodData deployments.
Use it for
- Automate creation and management of knowledge recommendations within GoodData workspaces programmatically.
- Build integration scripts that read and write memory items to GoodData for AI-driven analytics workflows.
- Construct CI/CD pipelines that provision or update GoodData workspace entities without manual API calls.
- Develop monitoring or auditing tools that query GoodData knowledge recommendations and memory items at scale.
- Integrate GoodData analytics into Python applications that need workspace-level entity management.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building Python applications or scripts that interact with GoodData workspaces.
The low install friction, active maintenance, permissive license, and absence of known vulnerabilities make it a safe choice. The main caveat is that it is auto-generated and offers no independent documentation beyond the OpenAPI spec—you will need GoodData API documentation to use it effectively.
Install
gooddata-api-client on PyPI
Before you install
Low friction install with only two lightweight runtime dependencies (urllib3 and python-dateutil). Actively maintained with a release 7 days old, indicating ongoing support.
Requires Python >=3.6 and a running GoodData instance or service endpoint to connect to.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal legal friction for commercial or private projects.
Quickstart
pip install gooddata-api-client
import gooddata_api_client
from gooddata_api_client.api import ai_api
configuration = gooddata_api_client.Configuration(host="http://localhost")
with gooddata_api_client.ApiClient(configuration) as api_client:
api_instance = ai_api.AIApi(api_client)
# Call API methods like create_entity_knowledge_recommendations()Verify before relying
- Whether the package is actively maintained by GoodData or community-generated; description notes it is auto-generated by OpenAPI Generator but maintenance status is unclear.
- API stability and backward compatibility guarantees across version updates.
- Authentication mechanism and credential handling requirements for connecting to GoodData instances.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesurllib3python-dateutil |
| Maintenance | Actively maintained 7 days since the last release |
| First released | |
| Downloads | 157,675 / month, #10,747 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: gooddata_api_client-1.72.0-py3-none-any.whl
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