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Description
Amazon SageMaker Studio serves as a comprehensive integrated development environment (IDE) that offers a unified web-based visual platform, equipping users with specialized tools essential for every phase of machine learning (ML) development, ranging from data preparation to the creation, training, and deployment of ML models, significantly enhancing the productivity of data science teams by as much as 10 times. Users can effortlessly upload datasets, initiate new notebooks, and engage in model training and tuning while easily navigating between different development stages to refine their experiments. Collaboration within organizations is facilitated, and the deployment of models into production can be accomplished seamlessly without leaving the interface of SageMaker Studio. This platform allows for the complete execution of the ML lifecycle, from handling unprocessed data to overseeing the deployment and monitoring of ML models, all accessible through a single, extensive set of tools presented in a web-based visual format. Users can swiftly transition between various steps in the ML process to optimize their models, while also having the ability to replay training experiments, adjust model features, and compare outcomes, ensuring a fluid workflow within SageMaker Studio for enhanced efficiency. In essence, SageMaker Studio not only streamlines the ML development process but also fosters an environment conducive to collaborative innovation and rigorous experimentation.
Amazon SageMaker Unified Studio provides a seamless and integrated environment for data teams to manage AI and machine learning projects from start to finish. It combines the power of AWS’s analytics tools—like Amazon Athena, Redshift, and Glue—with machine learning workflows.
Description
Limnor Studio, launched in August 2003, stands as a trailblazer in the realm of general-purpose visual programming systems. Extensive years have been dedicated to advancing visual languages and technologies that eliminate the need for coding. In 2013, several innovative technologies were patented, further solidifying its position in the market. As an Integrated Development Environment (IDE) for swift software creation, users engage in a visual and codeless programming approach, which means that traditional text coding is unnecessary. The programming process involves constructing objects and linking events, with event-linking illustrated through the Event-Path visual language. Meanwhile, the development of functions utilizes a control-flow visual language. This programming methodology is consistently applied to both standalone applications and web development projects. In the latter, the distinction between client and server is effectively eliminated, allowing developers to create web applications similarly to how they would build standalone software. Remarkably, it is recognized as the first fully automated cloud computing system globally, setting a new standard in the industry. Additionally, Limnor Studio continues to evolve, adapting to new trends and user needs in software development.
API Access
Has API
API Access
Has API
Integrations
.NET
AWS Glue
Amazon EMR
Amazon SageMaker
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Amazon Web Services (AWS)
C#
CSS
HTML
Integrations
.NET
AWS Glue
Amazon EMR
Amazon SageMaker
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Amazon Web Services (AWS)
C#
CSS
HTML
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/sagemaker/studio/
Vendor Details
Company Name
Limnor Studio
Website
github.com/DavidGeUSA/Limnor-Studio-Source-Code
Product Features
IDE
Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
IDE
Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor