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Spell VS ML5.js

Compare Spell VS ML5.js and see what are their differences

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Contents:
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  4. » Alternatives

Spell logo Spell

Deep Learning and AI accessible to everyone

ML5.js logo ML5.js

Friendly machine learning for the web
  • Spell Landing page
    Landing page //
    2022-09-23
  • ML5.js Landing page
    Landing page //
    2021-10-12

Spell videos

+ Add

Love Spells 24 Reviews 💙 My experience with their spells (excited to share)

More videos:

  • Review - SPELL Opulent Decay Album Review | Overkill Reviews
  • Review - LETS REVIEW Spells That Work

ML5.js videos

+ Add

ml5.js: Train Your Own Neural Network

More videos:

  • Review - ml5.js: Image Classification with MobileNet
  • Review - Image classification to gif with ML5.js | Vue.js Virtual Meetup

Category Popularity

0-100% (relative to Spell and ML5.js)

Spell

ML5.js

Data Science And Machine Learning
51 51%
Data Science And Machine Learning
49% 49
AI
43 43%
AI
57% 57
Developer Tools
37 37%
Developer Tools
63% 63
Data Science Notebooks
100 100%
Data Science Notebooks
0% 0

User comments

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Social recommendations and mentions

Based on our record, ML5.js seems to be more popular. It has been mentiond 9 times since March 2021. 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.

Spell mentions (0)

We have not tracked any mentions of Spell yet. Tracking of Spell recommendations started around Mar 2021.

ML5.js mentions (9)

  • Riffr - Create Photo Montages in the Browser with some ML Magic✨
    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 in-browser etc. - Source: dev.to / over 1 year ago
  • Brain.js: GPU Accelerated Neural Networks in JavaScript
    See also: https://ml5js.org/ "The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.". - Source: Hacker News / almost 2 years ago
  • [Showoff Saturday] I made a captcha prototype that requires a banana
    I used ml5js.org , p5js.org and https://teachablemachine.withgoogle.com to train the Banana images. When you create a new image project on Teachable Machine, you can output the p5js and basically use it right out of the box - I customized js, css, and html from there. Source: about 2 years ago
  • My First 30 Days of 100 Days of Code.
    Going forward: I'll be 100% into JavaScript. You can use JavaScript in so many fields nowadays. Websites React, Mobile Apps React Native, Machine Learning TensorFlow & ML5, Desktop Applications Electron, and of course the backend Node as well. It's kind of a no-brainer. Of course, they all have specific languages that are better, but for now, JavaScript is a bit of a catch-all. - Source: dev.to / about 2 years ago
  • [D] Are you using PyTorch or TensorFlow going into 2022?
    From other comments, a lot of JavaScript developers who want to use TensorFlow had never heard of TensorFlow.js or ml5.js! Source: over 2 years ago
View more

What are some alternatives?

When comparing Spell and ML5.js, you can also consider the following products

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Neuton.AI - No-code artificial intelligence for all

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

Lobe - Visual tool for building custom deep learning models

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