Skip to main content

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

Project description

py-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.

Early versions of this package were developed to be used by its sibling, the nf-dcqc Nextflow workflow. You can see examples of how to leverage py-dcqc there. Note that the initial command-line interface (CLI) was developed with nf-dcqc in mind, so smaller steps were favored to enable parallelism in Nextflow. Future iterations of this package will include user-friendly, high-level CLI commands.

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-1.7.1.tar.gz (448.1 kB view details)

Uploaded Source

Built Distribution

dcqc-1.7.1-py3-none-any.whl (36.2 kB view details)

Uploaded Python 3

File details

Details for the file dcqc-1.7.1.tar.gz.

File metadata

  • Download URL: dcqc-1.7.1.tar.gz
  • Upload date:
  • Size: 448.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.12

File hashes

Hashes for dcqc-1.7.1.tar.gz
Algorithm Hash digest
SHA256 6f6e351e58f2ae56f28b4ac627035928864613abf35e8928630d6540e9f4de70
MD5 b8de9eabde9efa58a27f4c39d6940f91
BLAKE2b-256 c50eafcee908e682635cff03458df946fb7c5727976c47ef027d944918c18c35

See more details on using hashes here.

File details

Details for the file dcqc-1.7.1-py3-none-any.whl.

File metadata

  • Download URL: dcqc-1.7.1-py3-none-any.whl
  • Upload date:
  • Size: 36.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.12

File hashes

Hashes for dcqc-1.7.1-py3-none-any.whl
Algorithm Hash digest
SHA256 7b1911dac46264262e61314f13032abed3ded477437faca01f71419d54d40e06
MD5 13e2f476b50fcf90ec3feb5bdd56a798
BLAKE2b-256 fd77a18a2399eaa5adc633ccb36699ab80d2297e4e705c0012ffbefce636492d

See more details on using hashes here.

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