Skip to main content

GoodData Python SDK

The gooddata-sdk package provides a clean and convenient Python API to interact with GoodData.

At the moment the SDK provides services to inspect and interact with the Semantic Model and consume analytics:

  • Catalog Workspaces Service
  • Catalog Workspace Content Service
  • Catalog Data Source Service
  • Catalog User Service
  • Catalog Permission Service
  • Catalog Organization Service
  • Catalog Appearance Service
  • Visualizations Service
  • Compute Service
  • Table Service

See DOCUMENTATION for more details.

Requirements

  • GoodData Cloud or GoodData.CN installation
  • Python 3.10 or newer

Installation

Run the following command to install the gooddata-sdk package on your system:

pip install gooddata-sdk

Example

Compute an visualization:

import gooddata_sdk

# GoodData host in the form of uri
host = "http://localhost:3000"
# GoodData user token
token = "some_user_token"
sdk = gooddata_sdk.GoodDataSdk.create(host, token)

workspace_id = "demo"
visualization_id = "customers_trend"
# reads visualization from workspace
visualization = sdk.visualizations.get_visualization(workspace_id, visualization_id)
# triggers computation for the visualization. the result will be returned in a tabular form
table = sdk.tables.for_visualization(workspace_id, visualization)

# and this is how you can read data row-by-row and do something with it
for row in table.read_all():
    print(row)

Bugs & Requests

Please use the GitHub issue tracker to submit bugs or request features.

Changelog

See Github releases for released versions and a list of changes.

Metadata

Release files for gooddata-sdk 1.74.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gooddata-sdk 1.74.0
File Size Uploaded
gooddata_sdk-1.74.0.tar.gz 875.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for gooddata-sdk 1.74.0
File Interpreter ABI Platform
gooddata_sdk-1.74.0-py3-none-any.whl Python 3 none any Details

Total release size: 1.1 MB

Release files / gooddata_sdk-1.74.0.tar.gz

Download URL gooddata_sdk-1.74.0.tar.gz
Size 875.0 kB
Tags Source
SHA-256 checksum
How to use checksums
2afa348b63265faa88d4720d4b8331ac7959d5a4edd25c8f37d8da394bebec15
BLAKE2b-256 checksum
How to use checksums
85dc5047da6df2a200eccf49ee6754340a2e7cdd4a16fde2b7e8534e9daaaae5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 3, 2026.

Transparency log

Release files / gooddata_sdk-1.74.0-py3-none-any.whl

Download URL gooddata_sdk-1.74.0-py3-none-any.whl
Size 204.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d743f400271e85c330e8ac35603f2f6ab4cd21886d3cbac74dd8e2d1f9e1e6b6
BLAKE2b-256 checksum
How to use checksums
9bece72f96c86d23d140af2329c42961ed1fff0b25b501421d1d6bfa7d7d1733
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 3, 2026.

Transparency log

Release history Release notifications | RSS feed

1.77.0

2 release files

1.75.0

2 release files

This release

1.74.0 This release

2 release files

1.73.0

2 release files

1.71.0

2 release files

1.70.0

2 release files

1.69.0

2 release files

1.68.0

2 release files

1.67.0

2 release files

1.66.0

2 release files

1.65.0

2 release files

1.64.0

2 release files

1.62.0

2 release files

1.60.0

2 release files

1.58.0

2 release files

1.57.0

2 release files

1.56.0

2 release files

1.55.0

2 release files

1.54.0

2 release files

1.53.0

2 release files

1.51.0

2 release files

1.49.0

2 release files

1.47.0

2 release files

1.46.0

2 release files

1.45.0

2 release files

1.44.0

2 release files

1.43.0

2 release files

1.42.0

2 release files

1.41.0

2 release files

1.39.0

2 release files

1.37.0

2 release files

1.35.0

2 release files

1.33.0

2 release files

1.32.2

2 release files

1.32.1

2 release files

1.32.0

2 release files

1.31.0

2 release files

1.30.0

2 release files

1.29.1

2 release files

1.29.0

2 release files

1.27.0

2 release files

1.25.0

2 release files

1.23.0

2 release files

1.22.0

2 release files

1.21.0

2 release files

1.20.0

2 release files

1.19.0

2 release files

1.18.1

2 release files

1.18.0

2 release files

1.16.0

2 release files

1.14.0

2 release files

1.13.0

2 release files

1.12.0

2 release files

1.11.0

2 release files

1.9.0

2 release files

1.8.0

2 release files

1.7.0

2 release files

1.6.0

2 release files

1.5.0

2 release files

1.4.0

2 release files

1.3.0

2 release files

1.2.0

2 release files

1.1.0

2 release files

1.0.0

2 release files

0.8.0

2 release files

0.7.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page