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DPlot VS Portable Python

Compare DPlot VS Portable Python and see what are their differences

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Contents:
  1. » Base Details
  2. » Reviews
  3. » Alternatives

DPlot logo DPlot

DPlot graphing software lets scientists and engineers graph, plot, analyze, and manipulate data.

Portable Python logo Portable Python

Minimum bare bones portable python distribution with PyScripter as development environment.
  • DPlot Landing page
    Landing page //
    2021-07-25
  • Portable Python Landing page
    Landing page //
    2023-10-01

DPlot features and specs

  • Versatile Graphing Capabilities
    DPlot provides a wide range of graph types, making it suitable for many different types of data visualization, whether for scientific, engineering, or business purposes.
  • Data Handling
    The software can handle large datasets efficiently, which is beneficial for users dealing with complex and voluminous data.
  • Customization Options
    DPlot offers extensive options for customizing the appearance of graphs, allowing users to tailor visualizations to their specific needs and preferences.
  • Precision and Accuracy
    DPlot is known for producing plots with high precision and accuracy, which is crucial for technical and scientific analysis.
  • Integration with Other Software
    DPlot can integrate with Microsoft Excel and other software, making it easier to import and export data for further analysis.

Possible disadvantages of DPlot

  • User Interface
    The user interface of DPlot may appear outdated and less intuitive compared to modern graphing tools, which could lead to a steeper learning curve for new users.
  • Limited Platform Availability
    DPlot is primarily available for Windows, which limits its accessibility for users on other operating systems like macOS or Linux.
  • Cost
    DPlot is a paid software, which might be a disadvantage for users or organizations looking for free graphing solutions.
  • Lack of Advanced Feature Set
    While DPlot covers basic and intermediate graphing needs, it may lack some advanced features found in other high-end data visualization tools.
  • Support and Documentation
    Support and documentation might not be as comprehensive as some users expect, which could be a drawback for solving complex issues quickly.

Portable Python features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to DPlot and Portable Python)

DPlot

Portable Python

Technical Computing
100 100%
Technical Computing
0% 0
Text Editors
0 0%
Text Editors
100% 100
Office & Productivity
100 100%
Office & Productivity
0% 0
Python IDE
0 0%
Python IDE
100% 100

User comments

Share your experience with using DPlot and Portable Python. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Portable Python seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

DPlot mentions (0)

We have not tracked any mentions of DPlot yet. Tracking of DPlot recommendations started around Mar 2021.

Portable Python mentions (2)

  • Can my work till if I run Linux from a USB?
    Not likely, unless they were LOOKING for that kind of thing, which is also unlikely. However, many companies lock the bios to stop you changing the preferred boot order of the PC. You could also consider using Python Portable, therefore would not be actually installing anything https://sourceforge.net/projects/portable-python/. Source: over 2 years ago
  • Problem with rembg and portable python 3.8.9 x64
    Hello, i'm a compelte noob in python and have a problem with run rembg with portable python 3.8.9x64 (downloaded from https://sourceforge.net/projects/portable-python/). Source: over 3 years ago

What are some alternatives?

When comparing DPlot and Portable Python, you can also consider the following products

SciDaVis - SciDAVis is a free application for Scientific Data Analysis and Visualization.

WinPython - The easiest way to run Python, Spyder with SciPy and friends out of the box on any Windows PC...

LabPlot - LabPlot is a KDE-application for interactive graphing and analysis of scientific data.

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

RJS Graph - RJS Graph is an artificial intelligence-based data management platform that allows users or developers to organize the data by manipulating the binaries, scientific, mathematical, and other insights with accurate results.

Anaconda - Anaconda is the leading open data science platform powered by Python.

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