TrustRadius

PlatformIO vs. Python IDLE

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
PlatformIO
Score 0.0 out of 10
N/A
The PlatformIO open-source project, supported by PlatformIO Labs, is a collaborative platform for embedded development that aims to enable customers to save resources and time by reducing the expenses and labor associated with creating and maintaining product software. The solution suite includes the cross-platform PlatformIO IDE and Unified Debugger.N/A
Python IDLE
Score 8.5 out of 10
N/A
Python's IDLE is the integrated development environment (IDE) and learning platform for Python, presented as a basic and simple IDE appropriate for learners in educational settings.
$0
Pricing
PlatformIOPython IDLE
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
PlatformIOPython IDLE
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
PlatformIOPython IDLE
Best Alternatives
PlatformIOPython IDLE
Small Businesses
PyCharm
PyCharm
Score 9.2 out of 10
PyCharm
PyCharm
Score 9.2 out of 10
Medium-sized Companies
PyCharm
PyCharm
Score 9.2 out of 10
PyCharm
PyCharm
Score 9.2 out of 10
Enterprises
PyCharm
PyCharm
Score 9.2 out of 10
PyCharm
PyCharm
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
PlatformIOPython IDLE
Likelihood to Recommend
-
(0 ratings)
2.3
(7 ratings)
Usability
-
(0 ratings)
8.2
(2 ratings)
Support Rating
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
PlatformIOPython IDLE
Likelihood to Recommend
Open Source
No answers on this topic
Python Software Foundation
Scenarios where python IDLE is well suited 1-Quick scripting and prototyping 2-Education and training 3-small projects utilities 4-exploring python libraries and modules Scenarios where python is less appropriate 1 large scale projects 2 complex debugging and profiling 3 multi language development 4 Advanced code analysis and inspection
JA
jordan alexis
Programmer
Read full review
Pros
Open Source
No answers on this topic
Python Software Foundation
  • Firstly, I would say Python IDLE interface is user friendly.
  • Easy to learn for the beginners.
  • Syntax highlighting is nice features.
  • Smart indent helps a lot.
Verified User
Anonymous
Read full review
Cons
Open Source
No answers on this topic
Python Software Foundation
  • Too simplistic
  • Could not find source revision management integration support
  • Only basic debugging is available
  • Does not have data-science-specific notebooks (but can be installed separately)
MM
Mohammad Mahmud
Data Scientist
Read full review
Usability
Open Source
No answers on this topic
Python Software Foundation
The IDE Python IDLE is a good place to start as it helps you become familiar with the way Python works and understand its syntax.
This IDE allows you to configure the environment, font, size, colors, .....
It also looks like any simple text editor for any operating system, I work with Windows or Linux interchangeably, and you don't have to learn to use the IDE before programming.
Once the IDE is executed you can start programming directly in it.
José Javier Dominguez Reina | TrustRadius Reviewer
Read full review
Support Rating
Open Source
No answers on this topic
Python Software Foundation
Python IDLE support is what the community can give you. As it is free software, it does not have support provided by the manufacturer or by third-parties.
In any case, for most of the problems that normal users can find, the solution, or alternatives, can be found quickly online.
As this IDE is made in Python, the support is the same group of Python developers.
José Javier Dominguez Reina | TrustRadius Reviewer
Read full review
Alternatives Considered
Open Source
No answers on this topic
Python Software Foundation
It's easy to set up and run quick analysis in Python IDLE on my local machine. The output is direct and easy to read. But sometimes I prefer Jupyter Notebook when the datasets are large, since it would take too long to run on my local machine. It is easier to run Jupyter Notebook on my cloud desktop
YX
Read full review
Return on Investment
Open Source
No answers on this topic
Python Software Foundation
  • In a short time, we were able to develop several ML models for various teams to make accurate decisions.
  • Beginners can easily understand and adapt to GUI.
  • We could automate several manual validation tasks and so could reduce human intervention.
Verified User
Anonymous
Read full review
ScreenShots