google-cloud-datacatalog-lineage
Google Cloud Datacatalog Lineage API client library
Decision gist · record as of 2026-08-14
Yes, if you are working with Google Cloud data systems and need programmatic lineage tracking. The library is actively maintained, has low install friction, carries a permissive license, and integrates naturally with other Google Cloud Python clients. No security vulnerabilities are known. Install only if your project requires Data Lineage API access and you can meet the Python 3.10+ requirement.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >= 3.10 and Google Cloud project with Data Lineage API enabled; authentication via google-auth (typically Application Default Credentials or service account key).
- Low install friction with a pure Python wheel distribution.
- Actively maintained as of 72 days ago with recent commits.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions, requiring only license and copyright notice retention.
last release 2026-06-03 (72 days) · last repo commit 2026-08-14 · 5,373 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 358,897 downloads/mo, #7,258 on PyPI
Alternatives
Verify before relying
pip install google-cloud-datacatalog-lineage
from google.cloud import datacatalog_lineage
client = datacatalog_lineage.LineageClient()
# Use client methods to query or create lineage data- Specific lineage query and mutation capabilities beyond basic client instantiation
- Performance characteristics for large-scale lineage graphs
- Integration patterns with other Google Cloud services (BigQuery, Dataflow, etc.)
What it is and what it does
This is Google's official Python client for the Cloud Data Lineage API, a service that tracks data flow and transformations across Google Cloud data systems. It provides programmatic access to create, query, and visualize lineage information—showing where data originates, where it flows, and what transformations occur along the way.
The library wraps gRPC and REST endpoints using standard Google Cloud client patterns (google-api-core, google-auth, protobuf). It requires Python 3.10 or later and is maintained as part of the broader google-cloud-python monorepo. Setup requires a Google Cloud project with the Data Lineage API enabled and proper authentication configured. The package is in Beta status and actively maintained, with no known security vulnerabilities.
Use it for
- Track data lineage for compliance and audit purposes in cloud data warehouses
- Visualize end-to-end data transformations in ETL/ELT pipelines
- Query data provenance to understand dependencies between datasets
- Integrate lineage tracking into data governance and metadata management systems
- Automate lineage documentation for data catalogs and data dictionaries
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are working with Google Cloud data systems and need programmatic lineage tracking.
The library is actively maintained, has low install friction, carries a permissive license, and integrates naturally with other Google Cloud Python clients. No security vulnerabilities are known. Install only if your project requires Data Lineage API access and you can meet the Python 3.10+ requirement.
Install
google-cloud-datacatalog-lineage on PyPI
Before you install
Low install friction with a pure Python wheel distribution. Actively maintained as of 72 days ago with recent commits. Depends on standard Google Cloud libraries (google-api-core, google-auth, grpcio, proto-plus, protobuf).
Requires Python >= 3.10 and Google Cloud project with Data Lineage API enabled; authentication via google-auth (typically Application Default Credentials or service account key).
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions, requiring only license and copyright notice retention.
Quickstart
pip install google-cloud-datacatalog-lineage
from google.cloud import datacatalog_lineage
client = datacatalog_lineage.LineageClient()
# Use client methods to query or create lineage dataVerify before relying
- Specific lineage query and mutation capabilities beyond basic client instantiation
- Performance characteristics for large-scale lineage graphs
- Integration patterns with other Google Cloud services (BigQuery, Dataflow, etc.)
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesgoogle-api-coregoogle-authgrpcioproto-plusprotobuf |
| Maintenance | Actively maintained 72 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 358,897 / month, #7,258 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Internet |
Evidence: google_cloud_datacatalog_lineage-0.7.0-py3-none-any.whl
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See also google-cloud-datacatalog · google-cloud-monitoring · google-cloud-functions · google-cloud-dataflow-client · openlineage-python · google-cloud-monitoring-dashboards · google-cloud-workflows · google-cloud-build · google-cloud-billing · google-cloud-bigquery-storage