GitHub Pages
Vercel
Netlify
Jekyll
Cloudflare Pages
surge.sh
Neocities
tiiny.host
RapidMiner
Scikit-learn
Pandas
Dataiku
NumPy
OpenCV
Exploratory
htm.java
GitHub Pages
RapidMinerRapidMiner is recommended for business analysts, academia, and organizations looking for a scalable and collaborative platform to execute data science workflows. It is particularly suitable for users who prefer a graphical user interface over coding and those seeking to streamline their data analysis processes across various departments within a company.
Based on our record, GitHub Pages seems to be a lot more popular than RapidMiner. While we know about 504 links to GitHub Pages, we've tracked only 3 mentions of RapidMiner. 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 / 4 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 / 10 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
RapidMiner: A data science platform that offers an automated EDA process, including data preprocessing, visualization, and analysis. Source: over 3 years ago
I hope this blog empowers you to start digging deeper into Apache Arrow and helps you to understand why we decided to invest in the future of Apache Arrow and its child products. I also hope it gives you the foundations to start exploring how you can build your own analytics applications from this framework. InfluxDBโs new storage engine emphasizes its commitment to the greater ecosystem. For instance, allowing... - Source: dev.to / over 3 years ago
Rapidminer - RapidMiner is a data science software platform developed by the company of the same name that provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics. Link - https://rapidminer.com/. - Source: dev.to / almost 5 years ago
Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Jekyll - Jekyll is a simple, blog aware, static site generator.
Dataiku - Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.