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Description
Flowhub IDE serves as a versatile tool for visually constructing full-stack applications. Its flow-based programming environment allows users to develop a wide range of projects, from distributed data processing systems to interactive internet-connected art installations. This platform supports JavaScript and operates seamlessly in both browser and Node.js environments. Additionally, it facilitates flow-based programming tailored for microcontrollers, such as Arduinos, making it an excellent toolkit for creating IoT solutions. Flowhub adheres to the FBP protocol, enabling integration with custom dataflow systems. The design begins on a virtual whiteboard, maintaining a streamlined approach throughout the development process. The intuitive “graph” feature presents your software's flow in a clear and aesthetically pleasing manner. Engineered for touchscreen functionality, Flowhub empowers users to develop applications on their tablets while mobile, although having a keyboard may enhance the experience during component editing. Ultimately, Flowhub fosters creativity and efficiency in software development across various platforms and devices.
Description
Project Jupyter is dedicated to the creation of open-source tools, standards, and services that facilitate interactive computing in numerous programming languages. At the heart of this initiative is JupyterLab, a web-based interactive development environment designed for Jupyter notebooks, coding, and data manipulation. JupyterLab offers remarkable flexibility, allowing users to customize and organize the interface to cater to various workflows in fields such as data science, scientific research, and machine learning. Its extensibility and modular nature enable developers to create plugins that introduce new features and seamlessly integrate with existing components. The Jupyter Notebook serves as an open-source web application enabling users to produce and share documents that incorporate live code, mathematical equations, visualizations, and descriptive text. Common applications of Jupyter include data cleaning and transformation, numerical simulations, statistical analysis, data visualization, and machine learning, among others. Supporting over 40 programming languages—including popular ones like Python, R, Julia, and Scala—Jupyter continues to be a valuable resource for researchers and developers alike, fostering collaborative and innovative approaches to computing challenges.
API Access
Has API
No
API Access
Has API
No
Integrations
C++
Yes
Apache Spark
No
Azure Marketplace
No
Baidu AI Cloud Machine Learning (BML)
No
C
Yes
Docker
No
Domino Enterprise AI Platform
No
Google Cloud Deep Learning VM Image
No
HTML
No
Illumina Connected Analytics
No
Integrations
C++
Yes
Apache Spark
Yes
Azure Marketplace
Yes
Baidu AI Cloud Machine Learning (BML)
Yes
C
No
Docker
Yes
Domino Enterprise AI Platform
Yes
Google Cloud Deep Learning VM Image
Yes
HTML
Yes
Illumina Connected Analytics
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
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
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
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Flowhub
Country
Germany
Website
flowhub.io/ide/
Vendor Details
Company Name
Jupyter
Founded
2014
Website
jupyter.org
Product Features
IDE
Code Completion
No
Compiler
No
Cross Platform Support
No
Debugger
No
Drag and Drop UI
No
Integrations and Plugins
No
Multi Language Support
No
Project Management
No
Text Editor / Code Editor
No
