IDLE

IDLE

Python
Jupyter Notebook

Jupyter Notebook

Project Jupyter
RStudio

RStudio

Posit
+

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About

IDLE is Python’s Integrated Development and Learning Environment. IDLE has the following features: - coded in 100% pure Python, using the tkinter GUI toolkit - cross-platform: works mostly the same on Windows, Unix, and macOS - Python shell window (interactive interpreter) with colorizing of code input, output, and error messages - multi-window text editor with multiple undo, Python colorizing, smart indent, call tips, auto completion, and other features - search within any window, replace within editor windows, and search through multiple files (grep) - debugger with persistent breakpoints, stepping, and viewing of global and local namespaces - configuration, browsers, and other dialogs

About

The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.

About

RStudio IDE is a powerful integrated development environment built for data scientists using R and Python; it features a console, syntax-highlighting editor supporting direct code execution, plotting, history management, debugging tools, and workspace controls. The open source edition runs on Windows, Mac, and Linux desktops and includes code completion, smart indentation, Visual Markdown editing, project-based working directories, integrated support for multiple working directories, R help and documentation search, interactive debugging, and extensive tools for package development, all under the AGPL v3 license. While the open version provides core capabilities for coding and data exploration, commercial editions add enterprise-grade features like database/NoSQL connections, priority support, and commercial licensing options. RStudio IDE empowers users to analyze data, build visualizations, develop packages, and produce reproducible workflows in a trusted open-source environment.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Python developers

Audience

Anyone who wants to create and share documents that contain live code, equations, visualizations and narrative text

Audience

Data scientists and analysts interested in a solution for scripting, data exploration, debugging and package development

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

$1,163 per year
Free Version
Free Trial

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 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 4.0 / 5
support 4.5 / 5

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

Pros & Cons from Real Users

Pros

  • Step-by-step casual coders like me dream of such a simple software. I use the tool to execute simple Python scripts and Jupyter is far easier to code on that Visual Studio or even the Python shell itself. Keyboard shortcuts make it even easier to use.
  • • It is web-based, so saves you a lot of space. • Allows you to import your own code in many formats. • You can also work with visuals and charts. • I like that you can code line-by-line or all at once with ctrl + Enter shortcut, which is very useful for debugging. • Mostly, I like that it is also a great tool for teaching and practicing machine learning.

Cons

  • Would be better if installation is easier. I had to watch a few YouTube videos to understand how to start installation.
  • • It gets buggy at times, and takes some time to load initially. • Can be slow even on high speed networks. • The interface is pretty old fashioned.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Python
Founded: 1990
docs.python.org/3/library/idle.html

Company Information

Project Jupyter
Founded: 2014
jupyter.org

Company Information

Posit
Founded: 2009
United States
posit.co/products/open-source/rstudio/

Alternatives

PyCharm

PyCharm

JetBrains

Alternatives

Alternatives

Positron

Positron

Posit PBC
Visual Studio

Visual Studio

Microsoft
R Markdown

R Markdown

RStudio PBC
RStudio

RStudio

Posit
JupyterLab

JupyterLab

Jupyter

Categories

IDE

Categories

Categories

Integrations

3LC
AWS Marketplace
Azure Marketplace
Chalk
CodeSquire
Daivio
Gemini Enterprise Agent Platform Notebooks
GitHub
Guild AI
Jovian
JupyterHub
Kedro
Kubernetes
OAuth
OpenCage Geocoding API
OpenHexa
RunCode
Saturn Cloud
Tokern
Train in Data

Integrations

3LC
AWS Marketplace
Azure Marketplace
Chalk
CodeSquire
Daivio
Gemini Enterprise Agent Platform Notebooks
GitHub
Guild AI
Jovian
JupyterHub
Kedro
Kubernetes
OAuth
OpenCage Geocoding API
OpenHexa
RunCode
Saturn Cloud
Tokern
Train in Data

Integrations

3LC
AWS Marketplace
Azure Marketplace
Chalk
CodeSquire
Daivio
Gemini Enterprise Agent Platform Notebooks
GitHub
Guild AI
Jovian
JupyterHub
Kedro
Kubernetes
OAuth
OpenCage Geocoding API
OpenHexa
RunCode
Saturn Cloud
Tokern
Train in Data
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