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Compare Torch and ml.js 
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At a Glance
Market Segments
Small-Business (42.9% of reviews)
Mid-Market (60.0% of reviews)
Pros & Cons
Not enough data
Not enough data
Entry-Level Pricing
No pricing available
No pricing available
Torch
Star Rating
(15)4.4 out of 5
Market Segments
Small-Business (42.9% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Torchml.js
Star Rating
(11)4.3 out of 5
Market Segments
Mid-Market (60.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about ml.jsSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that ml.js excels in its integration capabilities, particularly with JavaScript frameworks, achieving a high library rating of 9.3, while Torch users mention that its integration options are more limited, affecting ease of use in web applications.
- Reviewers mention that ml.js offers superior data handling features, particularly in data preprocessing, which is crucial for preparing datasets for machine learning tasks, whereas Torch users report that they face challenges in this area, leading to a steeper learning curve.
- G2 users highlight that ml.js provides a more user-friendly interface, making it easier for beginners to navigate, while Torch users say that its interface can be less intuitive, which may hinder new users from getting started quickly.
- Users on G2 report that ml.js shines in its model evaluation capabilities, with features that allow for detailed performance metrics, while Torch users mention that they find the evaluation tools less comprehensive, which can impact their ability to fine-tune models effectively.
- Reviewers say that ml.js has a strong community support system, with many widgets and graphical visualization tools available, enhancing the user experience, whereas Torch users report that while there is community support, it is not as extensive, which can limit access to resources.
- Users say that ml.js offers better documentation and support, making it easier to find solutions to common problems, while Torch users mention that they often struggle with the documentation, which can lead to frustration during development.
Pricing
Entry-Level Pricing
Torch
No pricing availableml.js
No pricing availableFree Trial
Torch
No trial information availableml.js
No trial information availableRatings
Meets Requirements
8.9
11
9.5
7
Ease of Use
8.9
11
8.6
7
Ease of Setup
8.1
9
Not enough data
Ease of Admin
8.3
9
Not enough data
Quality of Support
8.1
9
8.1
7
Has the product been a good partner in doing business?
7.8
9
Not enough data
Product Direction (% positive)
8.8
10
10.0
8
Features by Category
JavaScript Frameworks
Not enough data
9.3
5
Not enough data
Not enough data
Not enough data
8.3
5
Not enough data
8.7
5
Not enough data
8.7
5
Not enough data
Not enough data
Core Functionality - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Handling - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Performance - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Usability - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Features - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Artificial Neural Network
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Torch and ml.js are categorized as Machine Learning
Unique Categories
Torch is categorized as Artificial Neural Network
ml.js is categorized as JavaScript Web Frameworks
Reviews
Reviewers' Company Size
Torch
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
ml.js
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
42.9%
Information Technology and Services
14.3%
Telecommunications
7.1%
Research
7.1%
Mental Health Care
7.1%
Other
21.4%
Information Technology and Services
27.3%
Computer Software
27.3%
Accounting
18.2%
Investment Banking
9.1%
Computer & Network Security
9.1%
Other
9.1%
Alternatives
Discussions
Torch has no discussions with answers
ml.js has no discussions with answers
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