Software Alternatives & Startups

Matplotlib VS Sublime Text

Compare Matplotlib VS Sublime Text 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
Sublime Text

Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.

Rating
0 reviews
Pricing
Open source
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.

Which is more popular?

Based on our record, Matplotlib seems to be a lot more popular than Sublime Text. While we know about 114 links to Matplotlib, we've tracked only 3 mentions of Sublime Text.

social mentions
114 vs 3
Data Science And Machine Learning popularity
100% vs 0%

Base details

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

Matplotlib
Sublime Text
Website matplotlib.org sublimetext.com
Pricing
Open source
Open source
Listed in

Features and specs

What each product offers, as listed by its team.

Matplotlib 6 features
Sublime Text 7 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.
  • Speed
    Sublime Text is known for its fast performance, even with very large files and heavy duty workloads, providing a smooth coding experience.
  • Customizability
    It offers extensive customization options via JSON settings files, allowing users to tailor the editor to their specific needs and preferences.
  • Package Control
    The Package Control feature allows for easy installation, management, and discovery of plugins and themes, greatly enhancing functionality.
  • Multi-Platform Support
    Available on Windows, macOS, and Linux, it enables a consistent working environment across different operating systems.
  • Multiple Selections
    Allows for simultaneous editing by making multiple text selections, which is a powerful feature for rapidly making large-scale changes.
  • Distraction-Free Mode
    Offers a distraction-free mode that lets you focus on code by providing a full-screen, minimal interface.
  • Command Palette
    Provides a command palette that gives quick access to various functionalities, making performing complex actions easier.

Possible disadvantages

  • Cost
    While a free evaluation version is available, continued use requires purchasing a license, which may be a barrier for hobbyists or cash-strapped developers.
  • Limited IDE Features
    It lacks some of the advanced features found in full-fledged Integrated Development Environments (IDEs), such as robust debugging tools and integrated version control.
  • Steep Learning Curve
    The high degree of customizability can be overwhelming for beginners, requiring a significant time investment to master.
  • Plugin Dependencies
    While the extensive plugin ecosystem is an advantage, it can also lead to dependencies on third-party plugins which may not always be reliable or maintained.
  • No Real-Time Collaboration
    Unlike some modern editors, Sublime Text lacks built-in support for real-time collaboration between multiple users.
  • Occasional Plugin Conflicts
    Plugins can occasionally conflict with each other, causing unexpected behavior or performance issues.
  • Less Active Community
    Compared to some other popular editors like VSCode, the Sublime Text community is relatively smaller and less active.

Analysis

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

Matplotlib
Sublime Text

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.

No analysis of Sublime Text yet.

Videos

Walkthroughs and reviews on video.

Matplotlib 1 video + Add
Sublime Text 2 videos + Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

SUBLIME TEXT REVIEW | CODE EDITOR TOOL

More videos

  • - Visual Studio Code vs Sublime Text - Laravel Dev POV

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
Sublime Text
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
IDE
100% 100%

User comments

Share your experience with using Matplotlib and Sublime Text. For example, how are they different and which one is better?

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Reviews and articles

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

Matplotlib no reviews yet
Sublime Text 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
Sublime Text 3 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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  • Want better keybinding parity between micro and Sublime Text?
    I went through the key-bindings in Micro (which use different modifier keys) and added them to Sublime Text:. - Source: dev.to / over 3 years ago
  • Trying pop os episode 1
    Oh, and sublimetext.com too if you prefer something "cleaner". It is multi-platform too, like VSCodium. Source: almost 5 years ago
  • Sublime Text 3 Setup
    Sublime Text Terminal Shortcuts and menu entries for opening a terminal at the current file, or the current root project folder in Sublime Text. - Source: dev.to / over 5 years ago

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