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Anaconda VS DataMelt

Compare Anaconda VS DataMelt and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Anaconda logo Anaconda

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

DataMelt logo DataMelt

DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.
  • Anaconda Landing page
    Landing page //
    2023-09-22
  • 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

Anaconda

Website
anaconda.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

Anaconda videos

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Anaconda - Good Bad Flicks

More videos:

  • Review - ANACONDA BAD MOVIE REVIEW | Double Toasted
  • Review - Anaconda - Good Bad or Bad Bad #23

DataMelt videos

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

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Category Popularity

0-100% (relative to Anaconda and DataMelt)

Anaconda

DataMelt

IDE
100 100%
IDE
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Numerical Computation
0 0%
Numerical Computation
100% 100

Questions and Answers

As answered by people managing Anaconda 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 Anaconda 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 Anaconda and DataMelt

Anaconda Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Anaconda offers its data science and machine learning capabilities via a number of different product editions. Its flagship product is Anaconda Enterprise, an open-source Python and R-focused platform. The tool enables you to perform data science and machine learning on Linux, Windows, and Mac OS. Anaconda allows users to download more than 1,500 Python and R...
Source: solutionsreview.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 Anaconda and DataMelt, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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.

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