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DataMelt VS Apache Subversion

Compare DataMelt VS Apache Subversion and see what are their differences

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DataMelt logo DataMelt

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

Apache Subversion logo Apache Subversion

Mirror of Apache Subversion. Contribute to apache/subversion development by creating an account on GitHub.
  • 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

  • Apache Subversion Landing page
    Landing page //
    2023-08-27

DataMelt

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

Apache Subversion

Website
github.com
$ Details
-
Platforms
-
Release Date
-

DataMelt features and specs

  • 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.

Apache Subversion features and specs

  • Centralized Version Control
    Apache Subversion (SVN) uses a centralized repository model, which makes it easy to manage and control all project files in one place. All history and versions are stored on the server, making backup and repository management straightforward.
  • Atomic Commits
    Subversion ensures that commits are atomic operations. This means that either all changes in a commit are applied, or none are, helping to maintain the integrity of the repository.
  • Comprehensive Authorization
    SVN offers fine-grained authentication and authorization models. It can integrate with various authentication systems and allows granular access control on a per-directory and per-user basis.
  • Binary File Handling
    SVN handles binary files more efficiently compared to some other version control systems, reducing the size of repositories and improving performance when large files are committed.
  • Mature and Stable
    SVN has been around since 2000 and is widely used in enterprise settings. It is stable, well-documented, and has a vast community for support.

Possible disadvantages of Apache Subversion

  • Limited Branching and Merging
    SVNโ€™s branching and merging capabilities are more cumbersome compared to distributed version control systems (DVCS) like Git. Merging in SVN can be complex and time-consuming.
  • Single Point of Failure
    As a centralized version control system, the SVN repository server becomes a single point of failure. If the server goes down, no commits can be made until it is back up.
  • Performance Overhead
    Working with a remote central repository can introduce latency and performance overhead, especially with large projects and many users.
  • Less support for Offline Work
    SVN generally requires network access to the central repository for most operations. This makes it less flexible for developers needing to work offline, compared to DVCS where local copies are complete repositories.
  • Complex Repository Management
    Managing SVN repositories, particularly for large projects, can become complex and may require significant administrative effort to handle repositories, backups, and access controls.

Analysis of Apache Subversion

Overall verdict

  • Apache Subversion is a solid choice for projects that require a centralized version control system with robust access controls and support for large file handling. While it may not offer the distributed features and branching flexibility of systems like Git, it remains a reliable and efficient tool for many development environments.

Why this product is good

  • Apache Subversion (SVN) is a centralized version control system that provides a simple model for versioning, which can be easier to understand for users who prefer a linear, sequential history of changes. It ensures a single source of truth and is well-suited for teams that require tight access control over the repository. SVN is also known for handling large files and binary files better than some distributed systems.

Recommended for

  • Organizations with strict version control policies
  • Teams that need centralized control over versioning
  • Projects with large binary files that need versioning
  • Users who are more comfortable with a sequential workflow

DataMelt videos

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Apache Subversion videos

Setting Up Apache Subversion on Windows

Category Popularity

0-100% (relative to DataMelt and Apache Subversion)
Technical Computing
100 100%
0% 0
Git
0 0%
100% 100
Office & Productivity
100 100%
0% 0
Code Collaboration
0 0%
100% 100

Questions & Answers

As answered by people managing DataMelt and Apache Subversion.

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

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Reviews

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

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

Apache Subversion Reviews

We have no reviews of Apache Subversion yet.
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What are some alternatives?

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

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

Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.

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

Mercurial SCM - Mercurial is a free, distributed source control management tool.

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.

Atlassian Bitbucket Server - Atlassian Bitbucket Server is a scalable collaborative Git solution.