Software Alternatives & Startups

Matplotlib VS Editthis

Compare Matplotlib VS Editthis 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
Editthis

A free wikifarm project allowing to keep private wiki and build it up through MediaWiki syntax.

Rating
0 reviews
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 more popular. It has been mentioned 114 times since March 2021.

social mentions
114 vs 0
Data Science And Machine Learning popularity
100% vs 0%
alternatives listed
240+ vs 39

Base details

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

Matplotlib
Editthis
Website matplotlib.org editthis.info
Pricing
Open source
—
Listed in

Features and specs

What each product offers, as listed by its team.

Matplotlib 6 features
Editthis 4 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.
  • Ease of Use
    Editthis is designed to be user-friendly, allowing users with minimal technical knowledge to create and edit wikis effortlessly.
  • Free Hosting
    The platform offers free hosting for wikis, making it accessible for users who do not wish to incur costs for sharing their content.
  • Community Support
    Editthis has an active user community that can provide support, share insights, and help troubleshoot common issues.
  • No Installation Required
    Users can create and manage wikis directly in their web browser without the need to install any additional software.

Possible disadvantages

  • Limited Customization
    Editthis offers fewer customization options compared to other more advanced wiki platforms, which might restrict users looking for more control over their wikis’ appearance and features.
  • Ads Presence
    The free version of Editthis wikis may contain ads, which can be intrusive and affect the professional appearance of a wiki.
  • Scalability Issues
    As a free service, Editthis might not handle large volumes of traffic or data as efficiently as paid platforms, potentially causing performance issues with larger wikis.
  • Data Ownership and Privacy
    Users might have concerns about data ownership and the privacy of the content hosted on a free platform such as Editthis.

Analysis

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

Matplotlib
Editthis

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 Editthis yet.

Videos

Walkthroughs and reviews on video.

Matplotlib 1 video + Add
Editthis 0 videos + Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

No Editthis 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
Matplotlib
Editthis
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using Matplotlib and Editthis. 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
Editthis no reviews yet

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

Social recommendations and mentions

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

Matplotlib 114 mentions
Editthis 0 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 / 10 months ago

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Tracking Editthis since Mar 2021.

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