Skip to main content

Add a short description here!

Project description

dcqc

PyPI-Server codecov Project generated with PyScaffold

Python package for performing quality control (QC) for data coordination (DC)

This Python package provides a framework for performing quality control (QC) on data files. Quality control can range from low-level integrity checks (e.g. MD5 checksum, file extension) to high-level checks such as conformance to a format specification and consistency with associated metadata.

PyScaffold

This project has been set up using PyScaffold 4.3. For details and usage information on PyScaffold see https://pyscaffold.org/.

putup --name dcqc --markdown --github-actions --pre-commit --license Apache-2.0 py-dcqc

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dcqc-0.2.0.tar.gz (147.6 kB view hashes)

Uploaded Source

Built Distribution

dcqc-0.2.0-py3-none-any.whl (26.3 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page