Babel
jQuery
React Native
Composer
OpenSSL
Raven.js
Symfony
jQuery UI
Exploratory
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
htm.java
Figure Eight
Babel
ExploratoryBabel is recommended for web developers who want to write modern JavaScript but need to ensure that their code remains functional across different environments and older browsers. It is also valuable for projects where developers aspire to use the latest ECMAScript features without waiting for broad native support.
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, Babel seems to be a lot more popular than Exploratory. While we know about 153 links to Babel, 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.
Can be used with promises, ES6 generators and async/await (using Babel). - Source: dev.to / 3 months ago
@vitejs/plugin-react uses Babel (or oxc when used in rolldown-vite) for Fast Refresh. - Source: dev.to / 5 months ago
I was convinced that Babel with full AST parsing was the "right" way to analyze code. I mean, that's what real tools do, right? VS Code uses it, TypeScript uses it, all the cool kids use AST parsing! - Source: dev.to / 11 months ago
There are several ways to use Webpack, Browserify or Babel. For more information on using these tools, please refer to the corresponding project's documentation. In the script, including Quanter will usually look like this:. - Source: dev.to / 12 months ago
In order to accomplish this, I picked up a tool that I've been loathe to touch since the last time I used it, roughly a decade ago โ Babel. - Source: dev.to / about 1 year 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 / almost 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 / about 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
jQuery - The Write Less, Do More, JavaScript Library.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
React Native - A framework for building native apps with React
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Composer - Composer is a tool for dependency management in PHP.
NumPy - NumPy is the fundamental package for scientific computing with Python