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Matplotlib VS Working Copy

Compare Matplotlib VS Working Copy and see what are their differences

Matplotlib logo Matplotlib

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

Working Copy logo Working Copy

The powerful Git client for iOS
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Working Copy Landing page
    Landing page //
    2023-09-23

Matplotlib features and specs

  • 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 of Matplotlib

  • 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.

Working Copy features and specs

  • 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 of Working Copy

  • 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 of Matplotlib

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.

Analysis of Working Copy

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.

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Working Copy videos

Using Git on iPad with Textastic and Working Copy

More videos:

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

Category Popularity

0-100% (relative to Matplotlib and Working Copy)
Data Science And Machine Learning
Git
0 0%
100% 100
Technical Computing
100 100%
0% 0
Code Collaboration
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Matplotlib and Working Copy

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...

Working Copy Reviews

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Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Working Copy. It has been mentiond 114 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.

Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™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 numbers into clear charts. - Source: dev.to / 7 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 / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
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Working Copy mentions (18)

  • 37signals Introduces Once โ€“ 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 fixes and stuff, only new features are behind a flag that requires you to purchase another year of updates. I would also argue that Working Copy specifically is too cheap, but I... - Source: Hacker News / almost 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: over 3 years ago
  • Show HN: Jot: Rapid note management for the terminal, inspired by Obsidian
    > It uses the same format of storage as Obsidian... Can Obsidian and Jot co-mingle in the same vault? I use Obsidian and am very happy with the git plugin[0] and Working Copy(iOS)[1] for keeping things automatically synced between my phone and desktop(s). Often I find myself dumping notes into random places from the terminal; feeding markdown via pipes. But I then have to remember to collect these artifacts and... - Source: Hacker News / almost 4 years ago
  • Are there any good git viewers/browsers for iOS?
    This is the only one I've heard people use: https://workingcopyapp.com/. Source: almost 4 years ago
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What are some alternatives?

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

CodeHub - CodeHub is the most complete, unofficial, client for GitHub on the iOS platform.

NumPy - NumPy is the fundamental package for scientific computing with Python

Git2Go - The Git client for iPhone and iPad you always wanted

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

Diff So Fancy - Make Git diffs look good