Composer
jQuery
React Native
Babel
OpenSSL
Raven.js
Symfony
jQuery UI
Exploratory
Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
htm.java
Figure Eight
Composer
ExploratoryExploratory 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, Composer seems to be a lot more popular than Exploratory. While we know about 152 links to Composer, 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.
It's very confusing that they use the same name as the very well known PHP package manager, composer https://getcomposer.org/. - Source: Hacker News / 2 months ago
I'm embarrassed I never took the time to understand Composer until now. I have been preaching for a long time to start each PHP project with Composer, even when the project is not going end up on Packagist. - Source: dev.to / 2 months ago
Waaseyaa is a monorepo. The root composer.json defines 43 subpackages under packages/, each referenced as a path repository with @dev constraints. During development, this is convenient. Composer resolves everything locally, and you never think about versioning. - Source: dev.to / 4 months ago
(P)NPM is an outlier in this behavior compared to package managers of other languages. With package managers like Composer (PHP), pip (Python) and NuGet (.NET) dependencies are by default peer dependencies. That means that in those package managers it is not possible to have multiple versions of the same dependency in your application1. - Source: dev.to / 8 months ago
Download from getcomposer.org and follow installation instructions. - Source: dev.to / 10 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 / 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.
Babel - Babel is a compiler for writing next generation JavaScript.
NumPy - NumPy is the fundamental package for scientific computing with Python