Software Alternatives, Accelerators & Startups
Register | Login

unDraw VS Matplotlib

Compare unDraw VS Matplotlib and see what are their differences

Tabidoo
A simple way to keep all your data under control. Build your own business applications in just 4 minutes. featured
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.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

unDraw logo unDraw

Open-source illustrations for every project you can imagine and create.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • unDraw Landing page
    Landing page //
    2021-09-26
  • Matplotlib Landing page
    Landing page //
    2023-06-14

unDraw features and specs

  • Free to Use
    unDraw offers a wide range of illustrations for free, making it accessible for anyone without budget constraints.
  • Customizable Colors
    Users can easily change the color of any illustration to match their brand's color palette.
  • No Attribution Required
    The platform allows users to utilize the illustrations without the need to give credit, which is great for commercial projects.
  • High Quality
    The illustrations are of high quality, professional, and modern, making them suitable for various applications.
  • Broad Range of Topics
    unDraw covers a wide array of categories and topics, making it easier to find relevant illustrations.
  • Ease of Use
    The website interface is user-friendly, allowing for quick searches and easy downloads of illustrations.

Possible disadvantages of unDraw

  • Limited Styles
    Although high-quality, the illustrations have a uniform style, which might not fit every brand's aesthetic.
  • No Custom Illustrations
    Users cannot request custom illustrations directly from the platform, limiting personalized options.
  • Dependence on Updates
    Users rely on the platform to update and add new illustrations periodically, which may not always meet evolving trends or needs.
  • No Source Files
    Illustrations are only available in SVG format, which might be limiting for more advanced design modifications requiring source files.
  • Requires Internet Access
    An active internet connection is required to browse and download illustrations, which may not be convenient for all users.

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.

Analysis of unDraw

Overall verdict

  • unDraw is a highly recommended resource for individuals and teams looking for high-quality illustrations. Its combination of ease of use, free licensing, and a wide variety of illustrations makes it a valuable tool for many creatives and developers.

Why this product is good

  • unDraw is a platform that offers a wide range of open-source illustrations that are customizable and can be used in various projects without any attribution or cost. It is praised for its beautiful, modern, and versatile designs that can enhance the visual appeal of websites, applications, and presentations. Additionally, the illustrations are SVG-based, making them easily scalable and editable to fit the needs of any project.

Recommended for

  • Web designers looking to incorporate visually appealing illustrations
  • Developers needing scalable graphics for projects
  • Marketing teams creating visually rich presentations
  • Content creators who want graphics that can be customized to match their brand's style
  • Educators needing visual aids for teaching materials

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.

unDraw videos

+ Add

Adobe XD Landing Page Design Tutorial with unDraw

More videos:

  • Review - UnDraw - Free Illustrations for Designers and Developers

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to unDraw and Matplotlib)

unDraw

Matplotlib

Design Tools
100 100%
Design Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Illustrations
100 100%
Illustrations
0% 0
Technical Computing
0 0%
Technical Computing
100% 100

User comments

Share your experience with using unDraw and Matplotlib. 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 unDraw and Matplotlib

unDraw Reviews

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

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.
Source: www.technotification.com
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.
Source: searchbusinessanalytics.techtarget.com
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.
Source: www.analyticsvidhya.com
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...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than unDraw. 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.

unDraw mentions (71)

View more

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 / 5 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 / 8 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 / 9 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 / 10 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 / 11 months ago
View more

What are some alternatives?

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

Getillustrations - Bring life to your designs while saving time and effort using this massive library of creative illustrations.

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

Unsplash - Unsplash is a website with high-quality free HD images. It has a catalog of more than three hundred thousand striking images that are neatly organized with tags. Read more about Unsplash.

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

Iconbuddy - 200K+ open source SVG icons, fully customizable!

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

Loading...