gooddata-sdk
GoodData Cloud Python SDK
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or newer and a running GoodData Cloud or GoodData.CN instance with valid credentials.
- Low friction install with nine runtime dependencies.
- Active maintenance: released 7 days ago with last commit on 2026-08-14.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for both open and proprietary projects.
last release 2026-08-07 (7 days) · last repo commit 2026-08-14 · 35 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 162,828 downloads/mo, #10,585 on PyPI
Alternatives
Verify before relying
pip install gooddata-sdk
import gooddata_sdk
sdk = gooddata_sdk.GoodDataSdk.create("http://localhost:3000", "token")
visualization = sdk.visualizations.get_visualization("workspace_id", "viz_id")
table = sdk.tables.for_visualization("workspace_id", visualization)
for row in table.read_all():
print(row)- Whether the SDK supports all GoodData.CN versions or only specific releases.
- Performance characteristics when working with large datasets or complex visualizations.
- Availability of async/concurrent request support for batch operations.
What it is and 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.
Typical 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.
Use it for
- 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.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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.
Install
gooddata-sdk on PyPI
Before you install
Low friction install with nine runtime dependencies. Active maintenance: released 7 days ago with last commit on 2026-08-14. Supports Python 3.10 through 3.14.
Requires Python 3.10 or newer and a running GoodData Cloud or GoodData.CN instance with valid credentials.
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal restrictions—suitable for both open and proprietary projects.
Quickstart
pip install gooddata-sdk
import gooddata_sdk
sdk = gooddata_sdk.GoodDataSdk.create("http://localhost:3000", "token")
visualization = sdk.visualizations.get_visualization("workspace_id", "viz_id")
table = sdk.tables.for_visualization("workspace_id", visualization)
for row in table.read_all():
print(row)Verify before relying
- Whether the SDK supports all GoodData.CN versions or only specific releases.
- Performance characteristics when working with large datasets or complex visualizations.
- Availability of async/concurrent request support for batch operations.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <4.0,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 9 packagesattrsbrotlicattrsgooddata-api-clientgooddata-code-convertorspython-dateutilpython-dotenvpyyamlrequests |
| Maintenance | Actively maintained 7 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 162,828 / month, #10,585 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: DatabaseTopic :: Scientific/EngineeringTopic :: Software DevelopmentTyping :: Typed |
Evidence: gooddata_sdk-1.72.0-py3-none-any.whl
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