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features
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Description

ConvNetJS is a JavaScript library designed for training deep learning models, specifically neural networks, directly in your web browser. With just a simple tab open, you can start the training process without needing any software installations, compilers, or even GPUs—it's that hassle-free. The library enables users to create and implement neural networks using JavaScript and was initially developed by @karpathy, but it has since been enhanced through community contributions, which are greatly encouraged. For those who want a quick and easy way to access the library without delving into development, you can download the minified version via the link to convnet-min.js. Alternatively, you can opt to get the latest version from GitHub, where the file you'll likely want is build/convnet-min.js, which includes the complete library. To get started, simply create a basic index.html file in a designated folder and place build/convnet-min.js in the same directory to begin experimenting with deep learning in your browser. This approach allows anyone, regardless of their technical background, to engage with neural networks effortlessly.

Description

HTML and JavaScript can generate a multitude of output formats. With templating engines that facilitate dynamic layouts, along with custom JavaScript hooks for data retrieval, the system fully embraces the latest advancements in CSS and JavaScript. jsreport offers a web-based design interface; all you need is a modern browser to start crafting your reports. The platform also features options for scheduling, versioning of templates, importing and exporting data, creating backups, managing sub-reports, and overseeing user accounts. It boasts comprehensive support for JavaScript alongside virtually every charting library, ensuring there are no restrictions. Moreover, with full compatibility for the newest CSS standards, even novice developers can create report designs with ease. You can prepare an XLSX template using desktop Excel, and then simply utilize HTML and CSS to populate it seamlessly. This flexibility empowers users to create tailored reports effortlessly.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Qwen3-Omni Yes 

Integrations

Qwen3-Omni No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
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 No 
Mac No 
Linux No 
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 Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

ConvNetJS

Website

cs.stanford.edu/people/karpathy/convnetjs/

Vendor Details

Company Name

jsreport

Founded

2014

Country

Czech Republic

Website

jsreport.net

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 

Product Features

Business Intelligence

Ad Hoc Reports No 
Benchmarking No 
Budgeting & Forecasting No 
Dashboard No 
Data Analysis No 
Key Performance Indicators No 
Natural Language Generation (NLG) No 
Performance Metrics No 
Predictive Analytics No 
Profitability Analysis No 
Strategic Planning No 
Trend / Problem Indicators No 
Visual Analytics No 

Reporting

Customizable Dashboard Yes 
Data Source Connectors Yes 
Drag & Drop No 
Drill Down Yes 
Email Reports No 
Financial Reports Yes 
Forecasting Yes 
Marketing Reports Yes 
OLAP No 
Report Export Yes 
Sales Reports Yes 
Scheduled / Automated Reports Yes 

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