
Docusaurus
GitBook
Mintlify
ReadMe
Hugo
Jekyll
Doxygen
Docsify.js
Exploratory
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
htm.java
Figure Eight
Docusaurus
ExploratoryDocusaurus is recommended for developers and project maintainers who need to create and manage comprehensive documentation for open source projects or internal tools. It is particularly valuable for those who prefer a React-based approach and need features like versioning and localization out of the box.
Exploratory is recommended for business analysts, data analysts, academic researchers, and any professionals who need to perform data analysis but may not have an extensive programming background. Its intuitive design makes it a good fit for users looking to conduct in-depth data exploration without needing to write extensive code.
Based on our record, Docusaurus seems to be a lot more popular than Exploratory. While we know about 225 links to Docusaurus, we've tracked only 6 mentions of Exploratory. 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.
I used Docusaurus to host my documentation website. Although it used mdx (based on React) while the rest of my website was using Svelte, there just wasn't a solution that worked nearly as well out of the box. There I made some basic tutorials and wrote documentation for the API. - Source: dev.to / 5 months ago
If you use a doc-as-code tool like VitePress, Asciidoctor, or Docusaurus, you can render CSV files as HTML tables at build time โ either natively or through a custom plugin. Most tools support CSV includes out of the box or with minimal effort, and any AI assistant can generate the glue code for your specific stack in seconds. - Source: dev.to / 8 months ago
There's no shortage of documentation tools out there, and honestly, that can make the decision harder rather than easier. After working with various clients and our own projects here at Digital Speed, we've found ourselves reaching for a handful of tools repeatedly: Docusaurus, VuePress, Redocly, and Fumadocs. - Source: dev.to / 7 months ago
Docusaurus is a popular choice for developer-first documentation, especially for teams that prefer Git-based workflows and static site generation. - Source: dev.to / 7 months ago
Docusaurus gives you complete control. It's open-source, React-based, and incredibly flexible. The trade-off? You're essentially maintaining a website. For a solo technical writer at a startup, that overhead wasn't something I could justify. - Source: dev.to / 8 months ago
I'm a happy customer of https://exploratory.io/ - it's a very user-friendly interface on top of R and I think you might find it helpful. - Source: Hacker News / about 4 years ago
If the goal here is becoming productive quickly, try https://exploratory.io/ which is a sort of WYSIWYG environment for R that will still let you code by hand if needed. No affiliation, just a happy customer for 2 years. - Source: Hacker News / over 4 years ago
Give https://exploratory.io/ a look. It's free/cheap. It's a nice easy GUI wrapper for R and just works. I stumbled across it a year ago and now use it daily. - Source: Hacker News / over 4 years ago
I'm not associated with the company, but I have used their product extensively and recommended it before. Is there a reason people do not recommend Exploratory Desktop compared to something like Tableau? It is free for public use, and can do almost anything Tableau does but faster: https://exploratory.io/. Source: over 4 years ago
I've been using https://exploratory.io/ a lot, which is r in a really nice wrapper where you can do everything point and click, by writing code by hand or a mix. - Source: Hacker News / over 4 years ago
GitBook - Modern Publishing, Simply taking your books from ideas to finished, polished books.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Mintlify - The AI-powered documentation writer. It's documentation that just appears as you build
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
ReadMe - A collaborative developer hub for your API or code.
NumPy - NumPy is the fundamental package for scientific computing with Python