Materialize CSS
Bootstrap
Foundation
Semantic UI
UIKit
Tailwind CSS
Bulma
Material UI
DQOps
DQLabs.ai
Metaplane
Melissa Data Quality
Collibra
Datadog
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.
Materialize CSS DQOpsMaterialize CSS is recommended for teams and developers who prefer Google's Material Design aesthetic, are building applications with a focus on rapid UI development, and value consistency and ease of use. It's also great for projects where a pre-existing UI library speeds up the development process, such as prototypes, admin dashboards, or smaller web applications. However, for highly customized UI components or non-Material Design projects, other frameworks might be more suitable.
Based on our record, Materialize CSS seems to be a lot more popular than DQOps. While we know about 28 links to Materialize CSS, 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.
Materialize - Responsive front-end framework based on Material Design. - Source: dev.to / 7 months ago
Sure, why not use Blazor? It makes life easier for the developers who are primarily backend, to work on the frontend as well. Seems like the better choice. So what's next? The UI library. No shade to the long-time standing Bootstrap, but it's 2023 and there are so many other libraries one could use outside of Bootstrap; TailwindCSS, Bulma, Materialize CSS, just to name a few. Forget that for a minute, maybe we can... - Source: dev.to / 10 months ago
Materialize is a modern CSS framework based on Googleโs Material Design. It was created and designed by Google to provide a unified and consistent user interface across all its products. Materialize is focused on user experience as it integrates animations and components to provide feedback to users. - Source: dev.to / almost 2 years ago
Materialize was created by a team of developers at Google, inspired by the principles of Material Design. Material Design is a design language developed by Google that emphasizes tactile surfaces, realistic lighting, and bold, graphic interfaces. Materialize aims to bring these principles to web development by providing a framework with ready-to-use components and styles based on Material Design. - Source: dev.to / over 2 years ago
If you wanna make it look nice use materialize css works great with Django templates. Source: over 3 years ago
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
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
DQLabs.ai - The Modern Data Quality Platform.
Foundation - The most advanced responsive front-end framework in the world
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.
Semantic UI - A UI Component library implemented using a set of specifications designed around natural language
Melissa Data Quality - Melissa helps companies to harness Big Data, legacy data, and people data (names, addresses, phone numbers, and emails).
