Materialize CSS
Bootstrap
Foundation
Semantic UI
UIKit
Tailwind CSS
Bulma
Material UI
DataMelt
LabPlot
SciDaVis
RJS Graph
Aveloy Graph
IGOR Pro
DPlot
OriginPro
DataMelt is a Java program for statistics, general data analysis and data visualization. The program is often termed "computational platform" since it can be used with different programming languages (Java, Python, Groovy..). DataMelt is not limited to a single programming language. The program is used for numeric computation, statistics, analysis of large data volumes ("big data") and scientific visualization. Full description: https://handwiki.org/wiki/Software:DataMelt
Materialize CSS
DataMeltMaterialize 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.
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DataMelt's answer:
students and data scientists
DataMelt's answer:
DataMelt has its roots in particle physics where data mining is a primary task. It was created as Software:jHepWork project in 2005 and it was initially written for data analysis for particle physics.
DataMelt's answer:
Multiplatform. Supports multiple programming languages: Java, Python (Jython), Groovy, Ruby
DataMelt's answer:
Large database of examples and code snippets https://datamelt.org/code/
DataMelt's answer:
Students at universities and data scientists.
DataMelt's answer:
Java (JDK any new new release including JDK20)
I like this DataMelt analysis program since it has many 2D/3D visualisation and a massive number of practical examples
Based on our record, Materialize CSS seems to be more popular. It has been mentiond 28 times since March 2021. 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 / 6 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 / 9 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: about 3 years ago
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
LabPlot - LabPlot is a KDE-application for interactive graphing and analysis of scientific data.
Foundation - The most advanced responsive front-end framework in the world
SciDaVis - SciDAVis is a free application for Scientific Data Analysis and Visualization.
Semantic UI - A UI Component library implemented using a set of specifications designed around natural language
RJS Graph - RJS Graph is an artificial intelligence-based data management platform that allows users or developers to organize the data by manipulating the binaries, scientific, mathematical, and other insights with accurate results.