DQOps
DQLabs.ai
Metaplane
Melissa Data Quality
Collibra
Datadog
GitHub Desktop
GitKraken
SourceTree
SmartGit
Fork
Tower
TortoiseGit
GitHub
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 GitHub DesktopBased on our record, GitHub Desktop seems to be a lot more popular than DQOps. While we know about 136 links to GitHub Desktop, 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 / over 1 year ago
Optional: You can also download GitHub Desktop (https://desktop.github.com) if you prefer a GUI version, but this guide focuses on Git Bash to understand the basics. - Source: dev.to / 7 months ago
Download the latest version from the GitHub Desktop website. - Source: dev.to / over 1 year ago
Iโm not going to dive into Git commands here โ you can find plenty of tutorials online. If youโre not a fan of using the plain terminal CLI, you can also manage repositories with tools like GitHub Desktop or SourceTree, which provide a more visual, intuitive interface. - Source: dev.to / almost 2 years ago
Using terminal commands isnโt necessary for basic adoption of Git with Corticon Studio files, though. There are various tools that will allow us to bypass the command line when defining rules, including the built-in Eclipse plugin for Git version control. If youโll be storing your assets on GitHub, though, an even easier solution is GitHub Desktop, a free desktop software that GitHub offers. It can be used in... - Source: dev.to / almost 2 years ago
Nix currently is akin to git's "porcelain": powerful but esoteric. However, much like git evolved into exoteric, user-friendly tools such as git-flow, GitHub Desktop, and Tower to become user-friendly, many developers are building abstractions, wrappers, and utilities to simplify Nix usage. Let's briefly look at a few of these tools now. - Source: dev.to / about 2 years ago
DQLabs.ai - The Modern Data Quality Platform.
GitKraken - The intuitive, fast, and beautiful cross-platform Git client.
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.
SourceTree - Mac and Windows client for Mercurial and Git.
Melissa Data Quality - Melissa helps companies to harness Big Data, legacy data, and people data (names, addresses, phone numbers, and emails).
SmartGit - SmartGit is a front-end for the distributed version control system Git and runs on Windows, Mac OS...
