Combination of multiple linters to run as a GitHub Action or standalone

Qualitis is a one-stop data quality management platform that supports quality verification, notification, and management for various datasource. It is used to solve various data quality problems caused by data processing. https://github.com/WeBankFinTech/Qualitis

A GitHub action that detects and automatically closes low-quality and AI slop PRs.

BEE (Bug rEport analyzEr), a tool for structuring and analyzing bug reports

A Matlab toolbox for examining the quality of structural (SNR) and functional (tSNR, SFNR) MRI

Dynamic Generation and Quality Checks of Formula Objects

BURT: A task-oriented dialogue system for bug reporting

🖇 Android hodgepodge static code quality check tool gradle plugin.

Sistema (lib + REST APIs) para validação de boas práticas na construção de contratos de API em OpenAPI Specification.

This module provides an interface to a set of Pester tests that enable the enforcement of quality control rules for PowerShell scripts and modules.

A repository template for a markdown ebook generated with pandoc

NPM package quality monitoring tool

The package RNAseqAnalysis does the complete analysis of RNA seq data starting from raw reads. It provides the user with differnt functions like generation of qc report, filtering, assembly and GO-term annotation, differential expression analysis and heatmap generation, and Alternative splicing-site prediction

Simple and fast linter for Git commit messages

Estimate the quality of your diffusion-weighted data to map human connectomes.

Data quality monitoring for high energy physics. Doc available at

CSV Data Validator is a tool to validate csv file. It parse csv and validate the data with .hdr(csv meta data) before ingestion to Data Lake. It checks data file availability for every day load and validate data with respective meta data like File Size, Checksum, Delimiter, Record count etc. It ensure landed data conformity before give go ahead for data ingestion to Data Lake. It generate complete stats or error log.

🧐Handbook for NGS data analysis

Run HL7 quality checks and export validation reports. Built by SmaRTy Saini Corp

Brake pad quality inspection

lnifmri_prep is a set of plain bash scripts to automate preprocessing and QC of fMRI data.

Tools to analyze fasta or fastaq files with python.

Python scripts for transforming specific metocean datasets from text-based to binary formats and checking them for data quality issues

This application will provide a recommendation on which axis you should flip the bvecs of your data, if it is necessary. It will perform fiber tracking using 4 different gradient flip options (no flip, x flip, y flip, and z flip) and report the most likely flip needed for your data. The flip recommendation is made based on the flip direction with the highest number of long fibers.

Package for validating IDSR data (check missings and threshold flags), produce weekly data summary and template for monthly bulletin

Labs to load measurements request web services

Web app to check research articles against ENU journal template and formal requirements

Universal Maya Production Inspect Redundant Elements

This service creates images of 3D surfaces of the major tracts segmented by AFQ or WMA in 4 views: axial, coronal, left and right sagittal.

Generates multiple graphs that can be used as a quality check for the outputs of AFQ and LiFE. This application will only work if the zero weighted fibers are removed AFTER AFQ.