Software Alternatives & Startups

Matplotlib VS Working Copy

Compare Matplotlib VS Working Copy and see what are their differences

Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

Rating
0 reviews
Pricing
Open source
Working Copy

The powerful Git client for iOS

Rating
0 reviews

Which is more popular?

Based on our record, Matplotlib should be more popular than Working Copy. It has been mentioned 114 times since March 2021.

social mentions
114 vs 18
Data Science And Machine Learning popularity
100% vs 0%
alternatives listed
240+ vs 62

Base details

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

Matplotlib
Working Copy
Website matplotlib.org workingcopyapp.com
Pricing
Open source
—
Listed in

Features and specs

What each product offers, as listed by its team.

Matplotlib 6 features
Working Copy 6 features
  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.
  • User Interface
    Working Copy features an intuitive and user-friendly interface that makes navigating through repositories, committing changes, and pushing updates seamless even for beginners.
  • File Management
    It offers robust file management capabilities, allowing users to easily view, edit, and manage files directly within the app, a crucial feature for developers on the go.
  • Integration
    Working Copy integrates well with other iOS apps and services, enabling smooth workflow transitions between different tools and platforms.
  • Support for Multiple Repositories
    The app supports multiple repositories, which is beneficial for developers who work on various projects simultaneously.
  • Offline Capabilities
    Working Copy allows users to work offline with local repositories, syncing changes when back online, enabling productivity in environments without internet access.
  • SSH Key Management
    It includes robust SSH key management, ensuring secure and streamlined authentication for remote repository access.

Possible disadvantages

  • Cost
    While the basic features are free, some advanced functionalities require a paid subscription, which might be a drawback for budget-conscious users.
  • Learning Curve
    Despite its user-friendly interface, the abundance of features can be overwhelming for new users, leading to a steep learning curve.
  • Limited Platform
    The app is available exclusively for iOS, which restricts accessibility for developers who use other platforms like Android or Windows.
  • Performance with Large Repositories
    Some users report performance issues when handling very large repositories, affecting the app's efficiency in such scenarios.
  • Editing Capabilities
    While it offers basic editing functionalities, Working Copy lacks some of the more advanced code editing features found in dedicated code editors.

Analysis

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

Matplotlib
Working Copy

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Overall verdict

  • Yes, Working Copy is considered a good app for developers who need a mobile solution for managing Git repositories. Its reliability and feature set make it a vital tool for those who prefer or need to work from iOS devices.

Why this product is good

  • Working Copy is highly regarded for its robust Git support on iOS devices, offering a wide range of features that facilitate efficient version control. It supports various Git operations like cloning, committing, pushing, and pulling straight from an iPhone or iPad. The app is praised for its intuitive user interface, seamless integration with cloud services, and its efficient use of device capabilities, making it a powerful tool for developers who need to manage their repositories on the go.

Recommended for

  • Developers who frequently work on Git repositories and need mobile access.
  • iOS users who require a robust version control tool.
  • Teams that collaborate on projects remotely and move between desktop and mobile environments.

Videos

Walkthroughs and reviews on video.

Matplotlib 1 video + Add
Working Copy 2 videos + Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Using Git on iPad with Textastic and Working Copy

More videos

  • - Obsidian: Capture on iOS with Drafts and Working Copy - Effective Remote Work

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
Matplotlib
Working Copy
0% 0%
Git
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

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Reviews and articles

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

Matplotlib no reviews yet
Working Copy no reviews yet

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Social recommendations and mentions

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

Matplotlib 114 mentions
Working Copy 18 mentions
  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review.... - Source: dev.to / 7 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes it’s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw... - Source: dev.to / 10 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 11 months ago

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  • 37signals Introduces Once – One time payment software
    Even better is the licensing model where you can keep using the version as-is after the subscription ends. You just don't get any new features. It's even possible to do on iOS, as Working Copy [0] is doing it. (You also get all the bug... - Source: Hacker News / about 3 years ago
  • How I set up an almost fully automatic free Sync between Win, Android, iOS using Git.
    Yeah, Working Copy is a proper Git front-end which helps do safe syncing, via features such as:. Source: over 3 years ago
  • [Newbie] How could I prevent git conflicts and make this system better?
    So I have a laptop and a iPhone. On laptop I have the Obsidian.md desktop app, on iPhone I have the app and Working Copy app too. This is all for syncing my notes. Source: almost 4 years ago

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Alternatives to Matplotlib and Working Copy

When comparing Matplotlib and Working Copy, you can also consider the following products.