ConvNetJS vs. DataMelt Comparison


ConvNetJS	DataMelt jWork.ORG	+	+
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About ConvNetJS is a Javascript library for training deep learning models (neural networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. The library allows you to formulate and solve neural networks in Javascript, and was originally written by @karpathy. However, the library has since been extended by contributions from the community and more are warmly welcome. The fastest way to obtain the library in a plug-and-play way if you don't care about developing is through this link to convnet-min.js, which contains the minified library. Alternatively, you can also choose to download the latest release of the library from Github. The file you are probably most interested in is build/convnet-min.js, which contains the entire library. To use it, create a bare-bones index.html file in some folder and copy build/convnet-min.js to the same folder.	About DataMelt (or "DMelt") is an environment for numeric computation, data analysis, data mining, computational statistics, and data visualization. DataMelt can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Neural networks and various data-manipulation methods are integrated using Java API. Elements of symbolic computations using Octave/Matlab scripting are supported. DataMelt is a computational environment for Java platform. It can be used with different programming languages on different operating systems. Unlike other statistical programs, it is not limited to a single programming language. This software combines the world's most-popular enterprise language, Java, with the most popular scripting language used in data science, such as Jython (Python), Groovy, JRuby.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Supported Chromebook Not Supported
Audience Developers, professionals and researchers seeking a solution for training deep learning models	Audience scientists, students
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Not Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing $0 Access to full documentation (examples, Java API documentation, online manual) requires one-time membership payment (20$/user) Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Supported
Company Information ConvNetJS cs.stanford.edu/people/karpathy/convnetjs/	Company Information jWork.ORG Founded: 2005 United States datamelt.org
Alternatives Microsoft Cognitive Toolkit Microsoft	Alternatives NLREG
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TFLearn	Statistix Analytical Software
Zebra by Mipsology Mipsology	JMP Statistical Software JMP Statistical Discovery
Deci Deci AI View All	Microsoft Cognitive Toolkit Microsoft View All
Categories Deep Learning Supported Neural Network Supported	Categories Artificial Intelligence Supported Data Analysis Supported Data Mining Supported Data Visualization Supported Deep Learning Supported Education Supported Neural Network Supported Statistical Analysis Supported
	Deep Learning Features Convolutional Neural Networks Supported Document Classification Supported Image Segmentation Not Supported ML Algorithm Library Supported Model Training Supported Neural Network Modeling Not Supported Self-Learning Supported Visualization Supported Show More Features Artificial Intelligence Features Chatbot Not Supported For eCommerce Not Supported For Healthcare Supported For Sales Not Supported Image Recognition Supported Machine Learning Supported Multi-Language Not Supported Natural Language Processing Supported Predictive Analytics Supported Process/Workflow Automation Not Supported Rules-Based Automation Not Supported Virtual Personal Assistant (VPA) Not Supported Data Analysis Features Data Discovery Supported Data Visualization Supported High Volume Processing Not Supported Predictive Analytics Supported Regression Analysis Supported Sentiment Analysis Not Supported Statistical Modeling Supported Text Analytics Supported Data Mining Features Data Extraction Supported Data Visualization Supported Fraud Detection Not Supported Linked Data Management Not Supported Machine Learning Supported Predictive Modeling Supported Semantic Search Not Supported Statistical Analysis Supported Text Mining Supported Data Visualization Features Analytics Supported Content Management Not Supported Dashboard Creation Not Supported Filtered Views Not Supported OLAP Not Supported Relational Display Not Supported Simulation Models Supported Visual Discovery Supported Statistical Analysis Features Analytics Supported Association Discovery Supported Compliance Tracking Supported File Management Supported File Storage Supported Forecasting Supported Multivariate Analysis Supported Regression Analysis Supported Statistical Process Control Not Supported Statistical Simulation Supported Survival Analysis Supported Time Series Supported Visualization Supported
Integrations Apache NetBeans Not Supported Eclipse BIRT Not Supported Qwen3-Omni Supported View All 1 Integration	Integrations Apache NetBeans Supported Eclipse BIRT Supported Qwen3-Omni Not Supported View All 2 Integrations
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