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Machine Learning Playground
Papers with Code
Apple Machine Learning Journal
Evidently AI
ML Showcase
Lobe
Friendly machine learning for the web

Which is more popular?
Based on our record, Code.org seems to be a lot more popular than ML5.js. While we know about 385 links to Code.org, we've tracked only 11 mentions of ML5.js.
Website, pricing, platforms and company facts side by side.
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| Website | ml5js.org | code.org |
| Pricing | — | |
| Company | — | 2012 |
| Listed in |
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
ML5.js is recommended for educators, beginners, artists, and developers who want to quickly implement machine learning models in web applications. It is also suitable for creative coding projects and interactive applications where simplicity and ease of use are important.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
ml5.js: Train Your Own Neural Network
More videos
Programming For Kids: Scratch vs Code.org
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using ML5.js and Code.org. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


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Code.org is an online marketplace that can empower students, specifically students, to get detailed knowledge regarding the principles of the computer sciences. This platform can let its users access the free coding...
Nevertheless, the platform has the stats to prove its dependability. More than 67 million people use Code.org, including over two million teachers. In addition, the platform records over 208 million projects so far.
Code.org is much easier to use than Thunkable.First of all names say everything.Second,it has more modes than just "drag-and-drop".
Recommendations tracked on public social media and blogs since March 2021.


Libraries: Surprise for collaborative filtering (Python), TensorFlow.js for in-browser ML, ml5.js for approachable ML in JS. - Source: dev.to / 7 months ago
Ml5.js: Built on top of TensorFlow.js, it provides a user-friendly interface for implementing machine learning in web applications.. - Source: dev.to / over 1 year ago
Important APIs - ml5 for in-browser detection, face-api that uses tensorflow-node to accelerate on-server detection. VueUse for a bunch of useful component tools like the QR Code generator. Yahoo's Gifshot for creating gif files... - Source: dev.to / almost 4 years ago
Code.org uses an extremely outdated version of javascript, It's so hard to access data in array, im basically forced to do this. Cant wait to ditch this shit. Source: almost 3 years ago
I'm not sure if your 4.5yo is old enough to try Scratch[1] but nothing is too young these days. My elder got into Scratch around that time. These days, my younger one is into https://code.org and she make things go around, do stuffs,... - Source: Hacker News / almost 3 years ago
So I am using code.org to make a platforming game, and if I am halfway off of a platform I slide off of it. Idk if this is a quirk with code.org or if I did something wrong. You can check the hitboxes by pressing debug sprites in the... Source: almost 3 years ago
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