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RJS Graph
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IGOR Pro
DPlot
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DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.

BlazeSQL
SQL Chat
AI2sql
Genie AI
AI Query
MindsDB
Querio
SQL AI Copilot for business and data teams

Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | datamelt.org | logicloop.com |
| Pricing | — | |
| Platforms | — | |
| Company | 2020 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


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...
No description of LogicLoop yet.
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
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Introducing LogicLoop AI SQL Suite
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing DataMelt and LogicLoop.
DataMelt's answer
students and data scientists
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.
DataMelt's answer
Multiplatform. Supports multiple programming languages: Java, Python (Jython), Groovy, Ruby
DataMelt's answer
Large database of examples and code snippets https://datamelt.org/code/
DataMelt's answer
Students at universities and data scientists.
DataMelt's answer
Java (JDK any new new release including JDK20)
Share your experience with using DataMelt and LogicLoop. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


I like this DataMelt analysis program since it has many 2D/3D visualisation and a massive number of practical examples
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✔️ With AI2sql, engineers and non-engineers can easily write efficient, error-free SQL queries without knowing SQL.✔️ Querying has never been easier.
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