DQOps
DQLabs.ai
Metaplane
Melissa Data Quality
Collibra
Datadog
Prettier
ESLint
Tailwind CSS
VS Code
Next.js
Angular.io
GitHub
stylelint
DQOps is an open-source data quality platform designed for data quality and data engineering teams that makes data quality visible to business sponsors.
The platform provides an efficient user interface to quickly add data sources, configure data quality checks, and manage issues. DQOps comes with over 150 built-in data quality checks, but you can also design custom checks to detect any business-relevant data quality issues. The platform supports incremental data quality monitoring to support analyzing data quality of very big tables. Track data quality KPI scores using our built-in or custom dashboards to show progress in improving data quality to business sponsors.
DQOps is DevOps-friendly, allowing you to define data quality definitions in YAML files stored in Git, run data quality checks directly from your data pipelines, or automate any action with a Python Client. DQOps works locally or as a SaaS platform.
DQOps
PrettierBased on our record, Prettier seems to be a lot more popular than DQOps. While we know about 305 links to Prettier, we've tracked only 1 mention of DQOps. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Open-source power: Check out DQOps, a free and Open-source data quality Platform. It's like having a community of data superheroes watching Your back. - Source: dev.to / almost 2 years ago
Prettier - an opinionated code formatter for many languages, including TypeScript and JavaScript. - Source: dev.to / 11 days ago
Line length, spacing, and indentation matter. My preference for code is roughly 80 to 110 characters. Longer lines become tiring to scan, while very short lines can create excessive wrapping. For formatting, tools like Prettier reduce debate and keep code visually consistent across contributors. - Source: dev.to / about 2 months ago
137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 4 months ago
Prettier and ESLint are useful tools for establishing consistent code style as a baseline before starting structural refactoring - style differences in a diff make behavioral changes harder to spot. OWASP provides useful checklists for security-critical code review that apply directly to the critical path review step. - Source: dev.to / 4 months ago
The matcher field takes a regex pattern. Edit|Write means this hook only fires when the Edit or Write tool is used. Claude running Bash, Read, or any other tool won't trigger it. The command itself uses jq to extract the file path from the tool input JSON, then pipes it to Prettier. Every file Claude touches gets formatted automatically. - Source: dev.to / 5 months ago
DQLabs.ai - The Modern Data Quality Platform.
ESLint - The fully pluggable JavaScript code quality tool
Metaplane - Metaplane is the Datadog for Data โ a data observability tool that continuously monitors your data stack, alerts you when something goes wrong, and provides relevant metadata to help you debug.
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
Melissa Data Quality - Melissa helps companies to harness Big Data, legacy data, and people data (names, addresses, phone numbers, and emails).
VS Code - Build and debug modern web and cloud applications, by Microsoft