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Plot Digitizer VS git-fastclone

Compare Plot Digitizer VS git-fastclone and see what are their differences

Plot Digitizer

All-in-One Tool to Extract Data from Graphs, Plots & Images

Rating
0 reviews
Alternatives Is it good?
git-fastclone

git clone --recursive on steroids, by Square

Rating
0 reviews
Alternatives Is it good?
HasData
HasData is a top web scraping platform for developers and enterprises. It delivers structured, real-time data from the web using scalable APIs and no-code tools, removing the need to manage proxies, browsers, or anti-bot systems. sponsored

Which is more popular?

Based on our record, Plot Digitizer seems to be more popular. It has been mentioned 3 times since March 2021.

social mentions
3 vs 0
Data Extraction popularity
100% vs 0%

Base details

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

Plot Digitizer
git-fastclone
Website plotdigitizer.com github.com
Pricing
Official pricing
—
Listed in
Data Extraction Data Visualization Development Flow Charts And Diagrams +1
Software Development Git IDE Development +1

Features and specs

What each product offers, as listed by its team.

Plot Digitizer 5 features
git-fastclone 5 features
  • 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

  • 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.
  • Faster clone times
    git-fastclone speeds up cloning of repositories with submodules by using reference repositories and caching, avoiding redundant downloads of shared objects across multiple clones.
  • Efficient submodule handling
    It automates the recursive cloning and updating of git submodules, reducing the manual overhead typically involved in managing nested repositories.
  • Local object caching
    By maintaining a local cache of repository objects, it minimizes network usage and disk space when cloning multiple repositories that share common history or dependencies.
  • Simple drop-in usage
    It is designed to be used similarly to the standard git clone command, making it easy for teams to adopt without significant changes to their existing workflows.
  • Useful for CI/CD pipelines
    Its speed improvements are particularly beneficial in continuous integration environments where repositories with many submodules are cloned repeatedly, reducing build times.

Possible disadvantages

  • Limited maintenance
    The project has seen infrequent updates and community activity in recent years, which may raise concerns about long-term support and compatibility with newer git versions.
  • Narrow use case
    It is primarily beneficial for repositories with many submodules; for simple repositories without submodules, the performance gains are minimal or negligible.
  • Additional complexity
    Introducing a caching and reference mechanism adds complexity to the clone process, which could lead to unexpected issues if the cache becomes corrupted or outdated.
  • Dependency on Ruby environment
    Since git-fastclone is implemented as a Ruby gem, users need a working Ruby environment installed, which can be an extra setup requirement for teams not already using Ruby.
  • Potential caching pitfalls
    Improper cache invalidation or stale cached objects can potentially lead to inconsistencies in cloned repositories if not carefully managed.

Analysis

An editorial look at what each product does well and who it suits.

Plot Digitizer
git-fastclone

No analysis of Plot Digitizer yet.

Overall verdict

  • git-fastclone is a solid, lightweight utility for speeding up repeated Git clone operations by caching repositories and reusing objects, making it a good choice for CI/CD pipelines and environments where the same repositories are cloned frequently.

Why this product is good

  • Reduces clone time significantly by caching repository objects locally and reusing them for subsequent clones
  • Simple to install and use, typically requiring minimal configuration or setup
  • Particularly effective in CI/CD environments where build agents repeatedly clone the same repositories
  • Open source and available on GitHub, allowing for community contributions and transparency
  • Helps reduce bandwidth usage and load on Git servers when cloning large repositories repeatedly

Recommended for

  • Development teams using CI/CD pipelines that require frequent repository cloning
  • Organizations working with large monorepos or repositories that are cloned often
  • DevOps engineers looking to optimize build and deployment pipeline performance
  • Teams with limited bandwidth or slow network connections to their Git hosting service
  • Projects with multiple build agents or ephemeral CI runners that need fresh clones frequently

Videos

Walkthroughs and reviews on video.

Plot Digitizer 1 video + Add
git-fastclone 0 videos + Add

Plot digitizer

No git-fastclone videos yet. You could help us improve this page by suggesting one.

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
Plot Digitizer
git-fastclone
100% 100%
Data Extraction
0% 0%
87% 87%
Development
13% 13%
100% 100%
Data Visualization
0% 0%
0% 0%
Software Development
100% 100%

User comments

Share your experience with using Plot Digitizer and git-fastclone. For example, how are they different and which one is better?

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Social recommendations and mentions

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

Plot Digitizer 3 mentions
git-fastclone 0 mentions
  • [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)... 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: over 3 years ago
  • Show HN: Data Painter – 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

Tracking git-fastclone since Mar 2021.

Alternatives to Plot Digitizer and git-fastclone

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