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Apache Subversion VS Plot Digitizer

Compare Apache Subversion VS Plot Digitizer and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Apache Subversion logo Apache Subversion

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

Plot Digitizer logo Plot Digitizer

All-in-One Tool to Extract Data from Graphs, Plots & Images
  • Apache Subversion Landing page
    Landing page //
    2023-08-27
  • Plot Digitizer Landing page
    Landing page //
    2023-06-17

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.

Plot Digitizer features and specs

  • User-friendly Interface
    Plot Digitizer offers a simple and intuitive interface, making it accessible for users of varying technical skill levels.
  • Supports Multiple File Formats
    The tool supports a variety of file formats, including PNG, JPEG, and PDF, offering flexibility in terms of input data.
  • Precision and Accuracy
    Plot Digitizer provides precise and accurate data extraction, ensuring reliable outputs from digitized plots.
  • Versatile Application
    It can be used for various types of graphs and charts, such as line graphs, scatter plots, and bar charts.
  • Cross-Platform Compatibility
    The application is web-based, which allows it to be used across different operating systems without needing additional software installations.

Possible disadvantages of Plot Digitizer

  • Limited Free Features
    The free version may have limited features compared to the paid version, which could restrict functionality for some users.
  • Internet Dependency
    As a web-based tool, Plot Digitizer requires a stable internet connection for use, which might be a limitation in areas with poor connectivity.
  • Learning Curve
    While the interface is generally user-friendly, new users may still require time to understand all available features to use the tool efficiently.
  • Potential for Manual Errors
    Manual calibration and adjustments might introduce errors, especially when dealing with complex or high-density plots.
  • Performance Limitations
    Very large or complex datasets might impact the performance and speed of the tool, potentially leading to longer processing times.

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

Apache Subversion videos

+ Add

Setting Up Apache Subversion on Windows

Plot Digitizer videos

+ Add

Plot digitizer

Category Popularity

0-100% (relative to Apache Subversion and Plot Digitizer)

Apache Subversion

Plot Digitizer

Git
100 100%
Git
0% 0
Data Extraction
0 0%
Data Extraction
100% 100
Code Collaboration
100 100%
Code Collaboration
0% 0
Data Visualization
0 0%
Data Visualization
100% 100

User comments

Share your experience with using Apache Subversion and Plot Digitizer. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Plot Digitizer seems to be more popular. It has been mentiond 3 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.

Apache Subversion mentions (0)

We have not tracked any mentions of Apache Subversion yet. Tracking of Apache Subversion recommendations started around May 2021.

Plot Digitizer mentions (3)

  • [OC] Autism rates are driven by changes in policy and diagnostic criteria, not vaccinations
    Data: The CDC data estimating national autism rates only shows data every other year since 2000 (https://www.cdc.gov/ncbddd/autism/data.html). I used California data from Nevison (2018) (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6223814/ ) to show a longer-term historical trend. While it doesnโ€™t completely match the national data during the overlapping years (and I wouldnโ€™t expect it to), I have no reason to... Source: about 3 years ago
  • graph website/app?
    There are several, yes. Here is one, and here is anther, and here is a third. There is a detailed comparison here. Source: about 3 years ago
  • Show HN: Data Painter โ€“ A Different Way to Interact with Your Data
    I found this... Something like what you have in mind? (not Foss) https://plotdigitizer.com/. - Source: Hacker News / over 3 years ago

What are some alternatives?

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

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.

WebPlotDigitizer - WebPlotDigitizer - Web based tool to extract numerical data from plots, images and maps.

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

DigitizeIt - Sometimes it is necessary to extract data values from graphs, e.g.

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

GraphClick - GraphClick is a graph digitizer shareware for Mac OS X which allows to automatically retrieve the original (x,y)-data from the image of a scanned graphor fom QuickTime movies.

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