
Codewars
Exercism
LeetCode
CodinGame
CodeCombat
HackerRank
Google's Python Class
CheckIO is a web site with a mission: To teach JavaScript and Python coding skills through a game-playing interface. It is designed to teach new skills or improve existing skills through completing challenges.

Scikit-learn
Pandas
NumPy
OpenCV
Dataiku
htm.java
Figure Eight
Exploratory enables users to understand data by transforming, visualizing, and applying advanced statistics and machine learning algorithms.
Which is more popular?
Based on our record, CheckIO should be more popular than Exploratory. It has been mentioned 46 times since March 2021.
Website, pricing, platforms and company facts side by side.
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What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
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.
Walkthroughs and reviews on video.
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using CheckIO and Exploratory. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


CheckiO is a platform with coding games created for different levels of programmers, from beginners to advanced levels. Using fun and engaging methods, you can use coding games to solve challenges in TypeScript and...
CheckIO is available in English and Spanish. The platform was designed by a group of engineers and now has a number of customers all over the globe who may use it to improve their programming speed and abilities by...
Checkio is the most whimsical HackerRank alternative on this list. It’s also focused on two languages: Python and TypeScript. On this site you’ll be thrown into a gamer’s paradise that includes robot mollusks and...
We have no reviews of Exploratory yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


Have you heard of CheckIO (https://checkio.org/)? They have a gameified "Mario world" of coding challenges that are smaller and come with more explanation, tests to guide you through edge cases and provide hints. The challenges start... Source: almost 3 years ago
Cyber isn't gonna be a light switch, where you can flip it and be good. Don't be too hard on yourself. Start with some hands on stuff like https://tryhackme.com or checkio.org. You could look at certs like Security+ or CySA+ for some... Source: about 3 years ago
Much better to get your hands dirty than watching the videos. Try: https://checkio.org/. Source: over 3 years 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
When comparing CheckIO and Exploratory, you can also consider the following products.


scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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Download and solve practice problems in over 30 different languages.
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Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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Practice and level up your development skills and prepare for technical interviews.
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NumPy is the fundamental package for scientific computing with Python
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