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PyCharm VS DataMelt

Compare PyCharm VS DataMelt and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

PyCharm logo PyCharm

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

DataMelt logo DataMelt

DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.
  • PyCharm Landing page
    Landing page //
    2023-07-20
  • DataMelt Landing page
    Landing page //
    2019-07-18

DataMelt is a Java program for statistics, general data analysis and data visualization. The program is often termed "computational platform" since it can be used with different programming languages (Java, Python, Groovy..). DataMelt is not limited to a single programming language. The program is used for numeric computation, statistics, analysis of large data volumes ("big data") and scientific visualization. Full description: https://handwiki.org/wiki/Software:DataMelt

PyCharm

Website
jetbrains.com
$ Details
-
Platforms
-
Release Date
-
Edit details

DataMelt

Website
datamelt.org
$ Details
freemium
Platforms
Linux Windows Mac OSX Java Cross Platform
Release Date
2020 June
Edit details

PyCharm videos

+ Add

Why Pycharm is the Best Python Editor/IDE!!!

More videos:

  • Review - Best Plugins for PyCharm
  • Tutorial - Pycharm Tutorial #1 - Setup & Basics

DataMelt videos

No DataMelt videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to PyCharm and DataMelt)

PyCharm

DataMelt

Text Editors
100 100%
Text Editors
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
IDE
100 100%
IDE
0% 0
Numerical Computation
0 0%
Numerical Computation
100% 100

Questions and Answers

As answered by people managing PyCharm and DataMelt.

How would you describe your primary audience?

DataMelt's answer:

students and data scientists

What's the story behind your product?

DataMelt's answer:

DataMelt has its roots in particle physics where data mining is a primary task. It was created as Software:jHepWork project in 2005 and it was initially written for data analysis for particle physics.

What makes your product unique?

DataMelt's answer:

Multiplatform. Supports multiple programming languages: Java, Python (Jython), Groovy, Ruby

Why should a person choose your product over its competitors?

DataMelt's answer:

Large database of examples and code snippets https://datamelt.org/code/

Who are some of the biggest customers of your product?

DataMelt's answer:

Students at universities and data scientists.

Which are the primary technologies used for building your product?

DataMelt's answer:

Java (JDK any new new release including JDK20)

User comments

Share your experience with using PyCharm and DataMelt. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare PyCharm and DataMelt

PyCharm Reviews

Top 10 Visual Studio Alternatives
PyCharm is a dedicated Python Integrated Development Environment (IDE). It is well-known for offering various vital tools for Python developers. It is securely combined to make a suitable atmosphere for a good level and high productivity Python, website, and data science development process. Moreover, if you are a beginner, the PyCharm can be the one for you.
Source: blog.back4app.com
Top 4 Python and Data Science IDEs for 2021 and Beyond
PyCharm gives you a more professional experience. It isn’t easy to describe, but you’ll understand what I’m talking about after a couple of minutes of usage. The coding assistance is superb, the debugger works like a charm, and the environment management is as easy as it gets.
Source: towardsdatascience.com
The Rise of Microsoft Visual Studio Code
The percentages on this graph are per editor. So we can see, for example, that 97% of engineers using PyCharm program in Python (which makes sense — it's in the name). Eclipse is dominated by Java (94%) and Visual Studio is mostly C# and C++ (88%). I can't really say which way the causality goes, but it seems that both the languages (Java, C#) and the IDEs (Eclipse, Visual...
Source: triplebyte.com
Top 5 Python IDEs For Data Science
Features Just like other IDEs, PyCharm has interesting features such as a code editor, errors highlighting, a powerful debugger with a graphical interface, besides of Git integration, SVN, and Mercurial. You can also customize your IDE, choosing between different themes, color schemes, and key-binding. Additionally, you can expand PyCharm’s features by adding plugins; You...
Source: www.datacamp.com

DataMelt Reviews

  1. Great 3D graphics

    I like this DataMelt analysis program since it has many 2D/3D visualisation and a massive number of practical examples

What are some alternatives?

When comparing PyCharm and DataMelt, you can also consider the following products

Microsoft Visual Studio - Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.

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

IntelliJ IDEA - Capable and Ergonomic IDE for JVM

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

Xcode - Xcode is Apple’s powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.

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.

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