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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Flax serves as an AI-driven platform designed for entrepreneurs, agencies, service providers, and small businesses to effortlessly create their own professional websites within minutes. After setting up your site, you can utilize Flax or any chosen AI tool to refresh content, enhance SEO, evaluate competitors, and expand your digital footprint. Flax integrates visual editing capabilities with hosting services, content management, multilingual options, mobile-friendly templates, personalized domains, e-commerce features, appointment scheduling, event management, forms, analytics, structured data, sitemaps, Search Console compatibility, image optimization, and continuous AI support. You can begin using Flax for free, and the service offers manageable monthly subscription plans, along with the option for owners to review any changes prior to publication, ensuring complete control over the website's appearance and functionality. This comprehensive suite of tools makes it easier for users to maintain an effective online presence while adapting to their evolving business needs.

Description

tensorViz provides a platform for developers to delve into PyTorch models and JAX/Flax programs through dynamic graph visualizations. In the case of PyTorch, users have the ability to open nested modules, examine tensor shapes recorded during a single forward pass, navigate to the corresponding Python source code, and observe architectural modifications alongside code differences. The site additionally features pre-recorded model graphs for users to analyze without the need for any installation. A free extension for VS Code can be found in both the Visual Studio Marketplace and Open VSX. For local capture, users must have Python installed along with the necessary model dependencies and sample inputs. There are also standalone coding-agent plugins that are currently in preview for Apple Silicon macOS; MCP agents can establish connections with the extension as well. While JAX/Flax graphs utilize CPU tracing to infer shapes, it is important to note that source edits for PyTorch models are not applicable in this context. By offering a seamless experience for both frameworks, tensorViz enhances the development and debugging process for users.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

No images available

Integrations

Claude Code No 
Codex CLI No 
Cursor No 
GitHub No 
Model Context Protocol (MCP) No 
T3 Code No 
Visual Studio Code No 

Integrations

Claude Code Yes 
Codex CLI Yes 
Cursor Yes 
GitHub Yes 
Model Context Protocol (MCP) Yes 
T3 Code Yes 
Visual Studio Code Yes 

Pricing Details

$12/month
Free Trial Yes 
Free Version No 

Pricing Details

$0
The VS Code extension is free to install. Core graph exploration and source-edit forms work without an agent or provider API key; connecting a coding agent is optional.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Flax

Founded

2025

Country

United Kingdom

Website

flaxsites.com

Vendor Details

Company Name

tensorViz

Website

tensorviz.dev/

Product Features

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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