Software Alternatives & Reviews

Grapher VS ML5.js

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

Grapher logo Grapher

Put Grapher’s powerful graphing and data analysis features to the test and better understand your data. Learn about features and download a free trial.

ML5.js logo ML5.js

Friendly machine learning for the web
  • Grapher Landing page
    Landing page //
    2023-09-23
  • ML5.js Landing page
    Landing page //
    2021-10-12

Grapher videos

Speed Grapher Review

More videos:

  • Review - Please Watch Speed Grapher - Kirblog 4/5/16
  • Review - Speed Grapher Review

ML5.js videos

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 Grapher and ML5.js)
Data Visualization
100 100%
0% 0
AI
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

Share your experience with using Grapher and ML5.js. For example, how are they different and which one is better?
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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.

Grapher mentions (0)

We have not tracked any mentions of Grapher yet. Tracking of Grapher 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 / over 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
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What are some alternatives?

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

SAP Lumira - Empower all types of users with SAP Lumira, a single solution for self-service data discovery, visualization, and analytic app creation.

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

Google Chart Tools - Google Chart Tools is a world’s most popular tool that allows users to display their data on their website via simple or attractive visualizations.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Google Data Studio - Data Studio turns your data into informative reports and dashboards that are easy to read, easy to share, and fully custom. Sign up for free.

Lobe - Visual tool for building custom deep learning models