DEVELOPER RESOURCE
Bring data quality into your Python workflow.
Install the digna Python SDK to run reliable data checks where your pipelines already live.
OFFICIAL PYTHON PACKAGE
digna-sdk
The official digna SDK, available through the Python Package Index for transparent, standard package installation.
v0.0.1
Python 3.11+
MIT License
QUICK INSTALL
Install directly from PyPI.
pip install digna-sdk
Use the official package listing to keep installation and version information close to your existing development workflow.
Start with three simple steps.
Install
Add the SDK to your environment with your preferred package manager.
Connect
Authenticate once, then point digna at the data your pipeline creates.
Validate
Define checks that fit your data model and keep quality visible from the first run.
From dashboard to code.
Until now, most interactions with digna happened in the platform dashboard. The Python SDK introduces direct programmatic access so teams can create projects, configure datasets, start inspections, retrieve results, and integrate quality checks into the systems they already use.
WITH THE SDK, DEVELOPERS CAN:
Built for modern data workflows.
Python is where data engineering, analytics, machine learning, automation, and infrastructure workflows come together. The SDK lets digna fit naturally into scripts, notebooks, orchestration tools, and data pipelines—turning monitoring, validation, and inspection into programmable building blocks.
Bring observability closer to the code where your data products are built.
