
DataMelt
LabPlot
SciDaVis
RJS Graph
Aveloy Graph
IGOR Pro
DPlot
OriginPro
GitHub Pages
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surge.sh
Neocities
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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
DataMelt
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DataMelt's answer
students and data scientists
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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, GitHub Pages seems to be more popular. It has been mentiond 504 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.
The site itself is a statically generated Next.js app, built in CI and deployed to GitHub Pages via actions/deploy-pages. No server to manage, no hosting bill. - Source: dev.to / 3 months ago
Static sites are fast and cheap to host, but your data goes stale the moment you deploy. This post shows how a SvelteKit portfolio site serves live data from five external sources while still deploying as static HTML to GitHub Pages. - Source: dev.to / 4 months ago
All three themes are designed for accessible deployment. You can host them for free on Netlify, GitHub Pages, Vercel, or Cloudflare Pages. The only cost is a domain name (which can be as cheap as $5/year on Porkbun). - Source: dev.to / 5 months ago
This action can store collected benchmark results in GitHub pages branch and provide a chart view. Benchmark results are visualized on the GitHub pages of your project. - Source: dev.to / 9 months ago
But that's not the case. The blog is a simple static generated website using Jekyll, it is built and served through GitHub Pages. With that in mind it makes more sense to use tools and leverage tool calling. - Source: dev.to / 11 months ago
LabPlot - LabPlot is a KDE-application for interactive graphing and analysis of scientific data.
Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.
SciDaVis - SciDAVis is a free application for Scientific Data Analysis and Visualization.
Jekyll - Jekyll is a simple, blog aware, static site generator.
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.
Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket