GitHub Codespaces
CloudShell
CodeTasty
StackHive
Coda for iOS
CodeAbbey
Tynker
Write code. Catch Bananas. Save the World.
Which is more popular?
Website, pricing, platforms and company facts side by side.
 |
 |
|
|---|---|---|
| Website | codemonkey.com | datamelt.org |
| Pricing | ||
| Platforms | — | |
| Company | Startup from Israel · 20 - 49 employees · 2014 | 2020 |
| Listed in |
In their own words, as submitted to SaaSHub.
Codemonkey is an interactive online platform designed to make learning code fun for kids from 5-14 years old. Through engaging games and challenges, it introduces programming concepts in a clear and accessible way. As children write code to help a monkey complete different tasks and puzzles, they...
DataMelt is a Java program for statistics, general data analysis and data visualization. The program is often termed "computational platform" since it can be used with different programming languages (Java, Python, Groovy..). DataMelt is not limited to a single programming language. The program...
What each product offers, as listed by its team.
Possible disadvantages
Walkthroughs and reviews on video.
How often each product is chosen within a category, 0–100% relative to the other.
As answered by people managing CodeMonkey and DataMelt.
CodeMonkey's answer
CodeMonkey’s primary audience is children, typically aged 5 to 14, who are just starting to explore the world of coding. It’s designed for young learners who enjoy games and interactive challenges that make learning feel like play. The platform is also a great fit for educators and parents looking for a fun, structured way to teach programming. With content suitable for beginners and more advanced students, it appeals to a wide range of skill levels. Overall, CodeMonkey is perfect for curious kids who love solving puzzles and want to build real coding skills in a fun, supportive environment.
DataMelt's answer:
students and data scientists
CodeMonkey's answer
CodeMonkey was founded in 2014 by Jonathan Schor, Ido Schor, and Yishai Pinchover, inspired by their experiences teaching kids to code through playful activities. They envisioned a platform that would make coding accessible and enjoyable for children, blending real programming languages with engaging, game-based learning. Launched in Israel, CodeMonkey quickly gained global traction, reaching over 34 million students in 206 countries by 2024 . In 2018, it was acquired by TAL Education Group but continues to operate independently, expanding its offerings to include courses in AI, data science, and digital literacy. Today, CodeMonkey remains committed to empowering young learners worldwide through fun and effective coding education.
DataMelt's answer:
DataMelt has its roots in particle physics where data mining is a primary task. It was created as Software:jHepWork project in 2005 and it was initially written for data analysis for particle physics.
CodeMonkey's answer
CodeMonkey stands out by teaching real programming languages like CoffeeScript and Python through fun, game-based challenges. Unlike many platforms that rely only on block coding, it gradually transitions students to text-based coding for a more authentic experience. Its engaging storyline, where kids help a monkey complete tasks by writing code, keeps learners motivated and invested. The platform also supports educators with detailed lesson plans, progress tracking, and classroom management tools. With its global accessibility and step-by-step guidance, CodeMonkey makes coding approachable and enjoyable for children everywhere.
DataMelt's answer:
Multiplatform. Supports multiple programming languages: Java, Python (Jython), Groovy, Ruby
CodeMonkey's answer
CodeMonkey is a great choice because it makes learning to code fun and exciting through interactive games and real coding languages. Unlike some other platforms that stick to just drag-and-drop blocks, CodeMonkey helps kids start writing real code early on. It’s super easy to use, with step-by-step instructions and instant feedback to keep learners on track. Teachers and parents also love it because it comes with ready-made lessons and tools to track progress. Plus, it’s used all over the world and available in different languages, so anyone can jump in and start coding!
DataMelt's answer:
Large database of examples and code snippets https://datamelt.org/code/
DataMelt's answer:
Students at universities and data scientists.
DataMelt's answer:
Java (JDK any new new release including JDK20)
Share your experience with using CodeMonkey and DataMelt. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.
We have no reviews of CodeMonkey yet. Be the first one to post
I like this DataMelt analysis program since it has many 2D/3D visualisation and a massive number of practical examples
When comparing CodeMonkey and DataMelt, you can also consider the following products.
GItHub Codespaces is a hosted remote coding environment by GitHub based on Visual Studio Codespaces integrated directly for GitHub.
Compare GitHub Codespaces to CodeMonkey or DataMelt:
LabPlot is a KDE-application for interactive graphing and analysis of scientific data.
Compare LabPlot to CodeMonkey or DataMelt:
Cloud Shell is a free admin machine with browser-based command-line access for managing your infrastructure and applications on Google Cloud Platform.
Compare CloudShell to CodeMonkey or DataMelt:
SciDAVis is a free application for Scientific Data Analysis and Visualization.
Compare SciDaVis to CodeMonkey or DataMelt:
CodeTasty is a programming platform for developers in the cloud.
Compare CodeTasty to CodeMonkey or DataMelt:
RJS Graph is an artificial intelligence-based data management platform that allows users or developers to organize the data by manipulating the binaries, scientific, mathematical, and other insights with accurate results.
Compare RJS Graph to CodeMonkey or DataMelt:
