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What is Limnor Studio?

Launched in August 2003, Limnor Studio has established itself as a pioneer in the field of general-purpose visual programming systems. A significant amount of time has been invested in enhancing visual languages and technologies that remove the necessity for traditional coding. In 2013, the company secured several patents for its cutting-edge technologies, further strengthening its market presence. Designed as an Integrated Development Environment (IDE) for rapid application development, it allows users to adopt a visual, codeless programming style, eliminating the need for conventional text-based coding. The programming approach focuses on creating objects and connecting events, with event-linking demonstrated through the Event-Path visual language, while the development of functions employs a control-flow visual language. This methodology is uniformly applied to both standalone applications and web development, where the barriers between client and server are seamlessly integrated, enabling developers to construct web applications as they would standalone software. Notably, Limnor Studio is celebrated as the world's first fully automated cloud computing system, setting an unprecedented benchmark in the technology sector. Furthermore, the platform is committed to continuous improvement, evolving in response to emerging trends and the dynamic needs of software developers across various industries. Its dedication to innovation ensures that Limnor Studio remains a relevant and powerful tool in the fast-evolving landscape of programming.

What is Amazon SageMaker Studio?

Amazon SageMaker Studio is a robust integrated development environment (IDE) that provides a cohesive web-based visual platform, empowering users with specialized resources for every stage of machine learning (ML) development, from data preparation to the design, training, and deployment of ML models, thus significantly boosting the productivity of data science teams by up to 10 times. Users can quickly upload datasets, start new notebooks, and participate in model training and tuning, while easily moving between various stages of development to enhance their experiments. Collaboration within teams is made easier, allowing for the straightforward deployment of models into production directly within the SageMaker Studio interface. This platform supports the entire ML lifecycle, from managing raw data to overseeing the deployment and monitoring of ML models, all through a single, comprehensive suite of tools available in a web-based visual format. Users can efficiently navigate through different phases of the ML process to refine their models, as well as replay training experiments, modify model parameters, and analyze results, which helps ensure a smooth workflow within SageMaker Studio for greater efficiency. Additionally, the platform's capabilities promote a culture of collaborative innovation and thorough experimentation, making it a vital asset for teams looking to push the boundaries of machine learning development. Ultimately, SageMaker Studio not only optimizes the machine learning development journey but also cultivates an environment rich in creativity and scientific inquiry. Amazon SageMaker Unified Studio is an all-in-one platform for AI and machine learning development, combining data discovery, processing, and model creation in one secure and collaborative environment. It integrates services like Amazon EMR, Amazon SageMaker, and Amazon Bedrock.

Media

Media

Integrations Supported

.NET
AWS Glue
Amazon EMR
Amazon SageMaker
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Amazon Web Services (AWS)
C#
CSS
HTML
JavaScript
Jupyter Notebook
PHP
PyTorch
TensorFlow
Visual Studio

Integrations Supported

.NET
AWS Glue
Amazon EMR
Amazon SageMaker
Amazon SageMaker Data Wrangler
Amazon SageMaker Debugger
Amazon Web Services (AWS)
C#
CSS
HTML
JavaScript
Jupyter Notebook
PHP
PyTorch
TensorFlow
Visual Studio

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Limnor Studio

Company Website

github.com/DavidGeUSA/Limnor-Studio-Source-Code

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/studio/

Categories and 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

Categories and 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

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