Software Alternatives, Accelerators & Startups

Matplotlib VS WriteMonkey

Compare Matplotlib VS WriteMonkey and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Matplotlib logo Matplotlib

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

WriteMonkey logo WriteMonkey

Software for full screen distraction free creative writing. No whistles and bells, just empty screen, you and your words. WriteMonkey is light, fast, and perfectly handy for those who enjoy the simplicity of a typewriter but live in modern times.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • WriteMonkey Landing page
    Landing page //
    2023-01-28

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.

WriteMonkey features and specs

  • Distraction-Free Environment
    WriteMonkey offers a minimalist, full-screen interface, allowing users to focus solely on writing without being distracted by other elements or notifications on their computer.
  • Portability
    The software can be run from a USB stick without needing to be installed on the host computer, which is convenient for users who work on multiple machines.
  • Customization
    WriteMonkey is highly customizable, allowing users to tweak the appearance and functionality to match their writing preferences.
  • Lightweight
    The application is lightweight and doesn't consume many system resources, making it suitable for older or less powerful machines.

Possible disadvantages of WriteMonkey

  • Limited Integrations
    WriteMonkey lacks integration with many popular productivity tools and cloud services, which can be a drawback for users who rely on these integrations.
  • Learning Curve
    The extensive customization options and unique interface may present a learning curve for new users who are accustomed to more conventional word processors.
  • Windows Only
    WriteMonkey is primarily designed for Windows operating systems, which limits its accessibility for users on macOS or Linux.
  • Limited Formatting Options
    The software focuses heavily on plain text, providing limited advanced formatting options compared to full-fledged word processors like Microsoft Word or Google Docs.

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 WriteMonkey

Overall verdict

  • Overall, WriteMonkey is highly regarded for what it aims to achieve. It delivers a clean and efficient writing experience that appeals especially to those who find other word processors to be overwhelming or unnecessarily complex for straightforward writing tasks.

Why this product is good

  • WriteMonkey is a popular tool among writers who value minimalism and distraction-free environments. It is designed for those who want to focus solely on the writing process without the clutter of additional features or complex interfaces. Users appreciate its simplicity, customization options, and the way it allows them to concentrate entirely on their text.

Recommended for

    WriteMonkey is especially suited for authors, bloggers, journalists, and anyone who prioritizes a clean, feature-light environment for writing. It's ideal for those who need limited distractions and prefer a minimalist tool that gets out of the way to let them focus on the task of writing.

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

WriteMonkey videos

Focuswriter vs WriteMonkey | Week 5 | Vlog #5 | 52 Weeks Later

More videos:

  • Review - Turn Writer into WriteMonkey - Learn Writer

Category Popularity

0-100% (relative to Matplotlib and WriteMonkey)
Data Science And Machine Learning
Markdown Editor
0 0%
100% 100
Technical Computing
100 100%
0% 0
Text Editors
0 0%
100% 100

User comments

Share your experience with using Matplotlib and WriteMonkey. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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 doesn’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...

WriteMonkey Reviews

We have no reviews of WriteMonkey yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than WriteMonkey. While we know about 114 links to Matplotlib, we've tracked only 5 mentions of WriteMonkey. 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 — 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 / 6 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 numbers into clear charts. - Source: dev.to / 9 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 / 10 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 / 11 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, A…. - Source: dev.to / 12 months ago
View more

WriteMonkey mentions (5)

  • I wish I could have a dark screen on Microsoft Word when I write
    Try WriteMonkey or something similar if you want nice distraction-free writing. You can have full-screen dark-mode with just a few things like word-count and stuff, you can make it work (and even sound) like a typewriter, etc. There are similar apps for Mac, etc. Source: over 3 years ago
  • I want to just get lots of text onto my computer.
    WriteMonkey was the reason why I use Linux / Vim daily now. It was my first foray into a minimal writing environment, and I still love it very much. You'll really like it. Source: almost 4 years ago
  • Can someone recommend a free offline word processor please?
    It's weird that it runs as a rom and uses non standard shortcuts Try write Monkey for minimalist word processing https://writemonkey.com/. Source: almost 4 years ago
  • Is there a free PC App or Software for download in worldbuilding?
    I've found Obsidian works well for my worldbuilding notes. For actual stories or when I'm focusing on just one document, I tend to prefer something like WriteMonkey. Source: over 4 years ago
  • The ‘Dune’ Screenplay Was Written in MS-DOS
    Reminds me of my Masters degree where I used https://writemonkey.com for all my papers and final thesis. With the same Model M I'm typing on right now, when working at home (I had it on a flash pendrive). Man, you can't beat focus with such "zenware" and the clicking of the keyboard, it's almost like a metronome to your creativity. The 40-page is a hard limit, though. And export options must be very few (I used a... Source: almost 5 years ago

What are some alternatives?

When comparing Matplotlib and WriteMonkey, 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.

FocusWriter - FocusWriter is a fullscreen, distraction-free word processor designed to immerse you as much as...

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

Scrivener - Scrivener is a content-generation tool for composing and structuring documents.

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

iA Writer - Minimal Design, Maximum Focus