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Gyana VS ML5.js

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

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Gyana logo Gyana

Intuitive easy-to-use report and dashboard tool to stop wasting time on repetitive and tedious tasks.

ML5.js logo ML5.js

Friendly machine learning for the web
  • Gyana Landing page
    Landing page //
    2022-10-14

Gyana is a no-code data science startup headquartered in London. Their flagship platform enables any business user to become a citizen data scientist with a few clicks-instead of training on hours of coding. Gyana is co-founded by Oxford graduates David Kell and Joyeeta Das and backed by tech leaders such as Biz Stone (co-founder of Twitter). Since their inception in 2016, they remain passionate about democratizing access to data science and have won many awards for pushing data-driven culture forward by participating in critical global projects."

  • ML5.js Landing page
    Landing page //
    2021-10-12

Gyana

Website
gyana.com
Pricing URL
Official Gyana Pricing
$ Details
paid Free Trial £39.0 / Monthly (1 user, 1,000,000 rows of data, unlimited features and updates)
Platforms
Web Browser Google Chrome
Release Date
2016 June
Edit details

ML5.js

Website
ml5js.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

Gyana features and specs

  • User-friendly Interface
    Gyana provides a simple and intuitive interface that makes it accessible for users without technical backgrounds to create visualizations and analyze data.
  • No-code Platform
    As a no-code data analytics tool, Gyana allows users to perform complex data operations without writing any code.
  • Customizable Dashboards
    Users can create personalized and interactive dashboards that cater to specific business needs and display real-time data insights.
  • Integration Capabilities
    Gyana can connect with multiple data sources, enabling users to import and consolidate data from various platforms easily.
  • Collaboration Features
    The platform offers collaborative features that allow teams to work together on data projects, share insights, and improve efficiency.

Possible disadvantages of Gyana

  • Limited Advanced Features
    While Gyana is excellent for basic to intermediate analytics, it may lack some advanced features that professionals in data science might require.
  • Pricing Structure
    Depending on the needs of a business, the cost associated with subscribing to Gyana might not be budget-friendly for smaller organizations.
  • Learning Curve
    Despite being a no-code platform, some users may still experience a learning curve when adapting to its features and functionality.
  • Scalability Issues
    The platform might encounter challenges when handling large datasets, which can be a limitation for enterprises requiring extensive data processing.
  • Dependence on Internet Connectivity
    Cloud-based operation means users need a stable internet connection to access and use the platform effectively, which might not always be feasible in remote areas.

ML5.js features and specs

  • Ease of Use
    ml5.js is designed with simplicity in mind, making machine learning accessible to artists, creative coders, and students, even those without a robust background in AI or machine learning.
  • Browser-based
    Operates directly in the browser, eliminating the need for any additional setup or dependencies, which makes it highly compatible with web projects.
  • Pre-trained Models
    Includes a variety of pre-trained models for quick implementation of complex machine learning tasks like image classification, pose detection, and text generation.
  • Community and Documentation
    Strong community support and well-documented guides and examples help new users get started quickly and find solutions to common issues.
  • Integration with p5.js
    Integrates seamlessly with p5.js, a popular JavaScript library for creative coding, facilitating the development of interactive and visually engaging applications.

Possible disadvantages of ML5.js

  • Performance Limitations
    Since it runs in the browser, it may not be suitable for performance-intensive applications or those requiring real-time processing of large datasets.
  • Limited Customization
    While it offers pre-trained models, there is limited functionality for training new models from scratch compared to more comprehensive libraries like TensorFlow.js.
  • Dependency on Web Standards
    Depends on the performance and capabilities of the client's browser, which can vary significantly between different users and devices.
  • Size of Models
    Some pre-trained models can be quite large, which may affect loading times and performance on slower network connections or less powerful devices.
  • Scope
    Focused on high-level tasks and applications, which might not be sufficient for advanced machine learning requirements or niche functionalities outside its provided models.

Analysis of ML5.js

Overall verdict

  • ML5.js is considered a good tool for web developers who want to incorporate machine learning into their projects without needing extensive knowledge of the underlying algorithms. It's particularly noted for its simplicity and ease of use.

Why this product is good

  • ML5.js is a high-level JavaScript library built on top of TensorFlow.js. It is designed to make machine learning accessible to web developers with minimal expertise in machine learning or deep learning. The library provides easy-to-use functions for tasks such as image and video classification, pose detection, text generation, and more. Its simplicity and ease of integration make it ideal for rapid prototyping and educational purposes.

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.

Gyana videos

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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 Gyana and ML5.js)

Gyana

ML5.js

Reporting & Dashboard
100 100%
Reporting & Dashboard
0% 0
AI
19 19%
AI
81% 81
Data Dashboard
100 100%
Data Dashboard
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

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 10 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.

Gyana mentions (0)

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

ML5.js mentions (10)

  • How AI is Transforming Front-End Development in 2025!
    Ml5.js: Built on top of TensorFlow.js, it provides a user-friendly interface for implementing machine learning in web applications.​. - Source: dev.to / about 1 month ago
  • 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 2 years 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 3 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 3 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 3 years ago
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What are some alternatives?

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

Deepnote - A collaboration platform for data scientists

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

DataQuest Beta - Codecademy for Data Science

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

Amie - GitHub for research and data science

Apple Machine Learning Journal - A blog written by Apple engineers

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