Software Alternatives, Accelerators & Startups

KNIME VS DataMelt

Compare KNIME VS DataMelt and see what are their differences

KNIME logo KNIME

KNIME, the open platform for your data.

DataMelt logo DataMelt

DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.
  • KNIME Landing page
    Landing page //
    2023-09-28
  • 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

KNIME

Website
knime.com
$ Details
-
Platforms
-
Release Date
-
Startup details
Country
Switzerland
City
Zürich
Employees
50 - 99

DataMelt

Pricing URL
-
$ Details
freemium
Platforms
Linux Windows Mac OSX Java Cross Platform
Release Date
2020 June

KNIME videos

What Is KNIME?

More videos:

  • Review - KNIME Analytics: a Review
  • Review - Should you learn KNIME for machine learning: My thoughts after a month of use (2019)

DataMelt videos

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

+ Add video

Category Popularity

0-100% (relative to KNIME and DataMelt)
Data Science And Machine Learning
Technical Computing
44 44%
56% 56
Business & Commerce
100 100%
0% 0
Numerical Computation
0 0%
100% 100

Questions and Answers

As answered by people managing KNIME 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 KNIME 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 KNIME and DataMelt

KNIME Reviews

Top 10 Tableau Open Source Alternatives: A Comprehensive List
Knime Analytics Platform is an open-source Business Intelligence software that has been developed as an integration platform for creating analytical reports. It is a software that might be difficult for a novice to use. However, for Data Scientists and other Data professionals, particularly those who want to work with R, Python, or other Predictive Machine Learning tools,...
Source: hevodata.com
Top 10 Data Analysis Tools in 2022
KNIME KNIME is an open-source tool that allows you to build or manipulate software to fit your company goals. KNIME is a free data analysis tool. KNIME is a valuable tool that is freely accessible and can be modified due to its open architecture. However, there is a paucity of learning materials and a need for better visualization.
15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.

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

Social recommendations and mentions

Based on our record, KNIME 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.

KNIME mentions (2)

  • Replace SAP BI with what?
    I'd recommend to look into the free and open source KNIME tool (knime.com). It may not look easy to use right away, but if you stick with it for a little while and attend its learning guides, KNIME will grow on you. You can even have it scheduled using Microsoft Task Scheduler or CRON for free. For me, it has augmented the capabilities of Power BI, Looker Studio, Cognos, Excel, and other proprietary tools. Its... Source: 11 months ago
  • More "pythonic" way of writing my API query?
    That would cause a problem because ultimately this query will be scheduled to run multiple times a day on a KNIME server. Source: about 1 year ago

DataMelt mentions (0)

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

What are some alternatives?

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

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

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

datarobot - Become an AI-Driven Enterprise with Automated Machine Learning

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

Montecarlito - MonteCarlito is a free Excel-add-in to do Monte-Carlo-simulations.

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.