Software Alternatives & Startups

packagecloud VS DataMelt

Compare packagecloud VS DataMelt and see what are their differences

packagecloud

Free hosted Node.js, Debian, RPM, Java, Python and RubyGem repositories. Chef, Puppet, Jenkins, Buildkite, CircleCI and Travis CI integrations.

Rating
0 reviews
Pricing
Freemium Free trial $89 / Monthly ("Starter Plan", "20 Gb Transfer", "5 Gb Storage")
DataMelt

DataMelt (DMelt), a free mathematics and data-analysis software for scientists, engineers and students.

Rating
5.0 · 1 review
Pricing
Open source Freemium Free trial
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, packagecloud seems to be more popular. It has been mentioned 5 times since March 2021.

social mentions
5 vs 0
Package Manager popularity
100% vs 0%
alternatives listed
27 vs 44

Base details

Website, pricing, platforms and company facts side by side.

packagecloud
DataMelt
Website packagecloud.io datamelt.org
Pricing
Freemium Free trial $89 / Monthly ("Starter Plan", "20 Gb Transfer", "5 Gb Storage") Official pricing
Open source Freemium Free trial
Platforms
Cross Platform Linux Windows Mac OSX Cloud +2
Linux Windows Mac OSX Java Cross Platform +2
Company 2016 2020
Listed in

About packagecloud and DataMelt

In their own words, as submitted to SaaSHub.

packagecloud
DataMelt

Packagecloud is a cloud-based package repository that allows its users to host npm, python, rubygem, apt, Java/Maven, and yum repositories without having to configure anything first. Being a cloud-based solution, it also allows one to distribute various software packages in a uniform, scalable,...

Read more about packagecloud

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...

Read more about DataMelt

Features and specs

What each product offers, as listed by its team.

packagecloud 4 features
DataMelt 5 features
  • Unlimited Users
  • Unlimited Repositories
  • Universal asset management
  • CI/CD Pipeline Orchestration
  • Versatility
    DataMelt supports a wide range of programming languages including Java, Jython, Groovy, and JRuby, making it versatile for users familiar with different coding environments.
  • Rich Libraries
    It offers a comprehensive set of scientific libraries for numerical computation, data analysis, and visualization, which can be beneficial for complex scientific research and data processing tasks.
  • Cross-Platform
    DataMelt is platform-independent, running on any operating system that supports Java, such as Windows, macOS, and Linux. This makes it accessible to a wide audience.
  • Integrated Development Environment
    DataMelt provides a powerful IDE that integrates coding, plotting, and visualization tools, streamlining the workflow for developers and researchers.
  • Free and Open Source
    The core functionality of DataMelt is available for free, which can be appealing to individuals and organizations looking for budget-friendly computational tools.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
packagecloud
DataMelt
100% 100%
0% 0%
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

Questions & Answers

As answered by people managing packagecloud and DataMelt.

How would you describe the primary audience of your product?

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 packagecloud and DataMelt. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

packagecloud no reviews yet
DataMelt 5.0 · 1 review
  • What is Artifactory?
    blog.packagecloud.io · Feb 2022

    Packagecloud is a cloud-based package repository that allows its users to host npm, python, rubygem, apt, Java/Maven, and yum repositories without having to configure anything first. Being a cloud-based solution, it...

  • Great 3D graphics
    SaaSHub review
    · Dec 2019

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

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

packagecloud 5 mentions
DataMelt 0 mentions
  • Reports on successful blocks
    Looks like the repository on packagecloud.io don't have the latest version yet, it only lists 0.0.23? I got 0.0.24 from somewhere though. Source: almost 4 years ago
  • I tried to switch to the testing branch of Debian and below is my /etc/apt/sources.list:
    Forcing the config can be don manually by modifying the config files that points to different repos in /etc/apt/sources.list.d, or for packages on packagecloud.io, you can use the method that I describe. The latter works because... Source: about 4 years ago
  • I tried to switch to the testing branch of Debian and below is my /etc/apt/sources.list:
    The error you are seeing is because you probably ran one of the steps that creates a configuration in your system that points to packagecloud.io, so that your system can retrieve packages from https://packagecloud.io/cs50/repo. However... Source: about 4 years ago

View more

Tracking DataMelt since Mar 2021.

Alternatives to packagecloud and DataMelt

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