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SVGator VS Matplotlib

Compare SVGator VS Matplotlib and see what are their differences

SVGator

SVGator lets you create interactive, code-free vector animations with ease, exporting to multiple formats such as SVG, Lottie, GIF, video, and WebM for seamless web and mobile integration.

Rating
0 reviews
Pricing
Freemium $23 / Monthly (Starter Plan)
Alternatives Is it good?
Matplotlib

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

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
Grapple
Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI sponsored
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 SVGator. While we know about 114 links to Matplotlib, we've tracked only 9 mentions of SVGator.

social mentions
9 vs 114
Animation popularity
100% vs 0%
alternatives listed
205 vs 240+

Base details

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

SVGator
Matplotlib
Website svgator.com matplotlib.org
Pricing
Freemium $23 / Monthly (Starter Plan) Official pricing
Open source
Platforms
Browser Google Chrome Safari Firefox Edge Web +3
—
Company Startup from the United States · 10 - 19 employees · 2017 —
Listed in
Animation SVG Vector Graphic Editor Vector Art Vector Graphics Vector Icons Graphic Design Software Website Design +5
Data Science And Machine Learning Development Data Visualization Javascript UI Libraries +1

About SVGator and Matplotlib

In their own words, as submitted to SaaSHub.

SVGator
Matplotlib

SVGator is a browser-based animation platform that empowers designers to create interactive, code-free vector animations with ease. It features keyframe timelines, custom easing, and interactivity triggers like hover, click, and scroll. Built for collaboration, SVGator lets teams edit, share, and...

Read more about SVGator

No description of Matplotlib yet.

Features and specs

What each product offers, as listed by its team.

SVGator 10 features
Matplotlib 6 features
  • Interactive SVG Animation
    Set your animation to start on hover, click or scroll.
  • No Coding Skills Required
    Easy for beginners to create animations.
  • Lottie Animation
    Compatible with any platform.
  • GIF Animation
    Easy sharing on web and social media.
  • Custom Easing Functions
    Control the timing as you want.
  • Video Export
    Export your vector animations in video.
  • WebM Export
    Lightweight export options for web.
  • Collaboration Features
    Bring your colleagues on board and get projects delivered faster.
  • Public Link Sharing
    Get feedback instantly.
  • Team Workspace
    Manage personal and shared projects easily.
  • 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.

Analysis

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

SVGator
Matplotlib

Overall verdict

  • Overall, SVGator is considered a strong tool for creating SVG animations, especially for those who prefer a visual approach to design rather than coding. Its extensive feature set, ease of use, and continuous updates make it a solid choice for anyone looking to add interactive SVG animations to their projects.

Why this product is good

  • SVGator is widely regarded for its user-friendly interface and robust set of features tailored for animating SVG graphics. It allows designers to create complex animations without needing to write code, making it accessible to both beginners and experienced users. Additionally, it offers a variety of export options, ensuring that animations can be used across different platforms and devices efficiently.

Recommended for

    SVGator is particularly recommended for graphic designers, web designers, and digital artists who want to incorporate animated SVG graphics into their work without delving into extensive coding. It's also ideal for marketing professionals seeking to enhance web and social media content with engaging animations.

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.

Videos

Walkthroughs and reviews on video.

SVGator 4 videos + Add
Matplotlib 1 video + Add

Collaboration Features | SVGator

More videos

  • - Fake 3D Tutorial | SVGator
  • - Create Animations FAST | SVGator
  • - The Most Advanced SVG Animation Creator | SVGator

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

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
SVGator
Matplotlib
100% 100%
Animation
0% 0%
0% 0%
Data Science And Machine Learning
100% 100%
100% 100%
Design Tools
0% 0%
0% 0%
Technical Computing
100% 100%

Questions & Answers

As answered by people managing SVGator and Matplotlib.

What makes your product unique?

SVGator's answer

SVGator is unique because it combines powerful animation tools with complete ease of use, all in a browser. No coding is needed to create interactive, keyframe-based vector animations, and it supports triggers like hover, click, and scroll. Its multi-format exports (SVG, Lottie, GIF, MP4, WebM) make it a one-stop solution for seamless web and mobile animation integration.

Why should a person choose your product over its competitors?

SVGator's answer

SVGator stands out because it requires no software installation; you can start animating anytime, anywhere. Your projects are securely stored in the cloud, so you never lose work. It’s a one-stop platform supporting all formats for cross-device compatibility, offering unmatched ease, flexibility, and reliability compared to competitors.

How would you describe the primary audience of your product?

SVGator's answer

SVGator’s primary audience is designers, developers, and creative professionals who want to add high-quality, interactive vector animations to their projects without writing code. This includes:

  • UI/UX designers enhancing web and app interfaces.
  • Web developers seeking lightweight, scalable animations.
  • Graphic designers & illustrators turning static designs into motion.
  • Marketing professionals creating engaging visual content.
  • Small businesses & startups needing quick, cost-effective animation solutions.

They value speed, ease of use, cloud accessibility, and cross-device compatibility.

What's the story behind your product?

SVGator's answer

The inspiration came when the team realized that animating vector graphics was often a time-consuming and technical task, and they sought a solution that would allow designers to animate vectors without any coding skills, using a single animated file that could be easily added to a website.

User comments

Share your experience with using SVGator and Matplotlib. 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.

SVGator no reviews yet
Matplotlib no reviews yet

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

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Social recommendations and mentions

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

SVGator 9 mentions
Matplotlib 114 mentions
  • Welcome to r/SVGatorApp!
    We, the team behind svgator.com , want this corner of the web to be a common ground for all those interested in SVG animation and motion graphics, to share: - your animations made with SVGator - your questions - your suggestions - &... Source: over 4 years ago
  • Cat in Trouble - 404 Error Page
    Sure :) just show some love to svgator.com in the process. Source: over 4 years ago
  • Morph vector animation
    This was done from scratch with the morph animator on svgator.com. Source: over 4 years ago

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  • 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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Alternatives to SVGator and Matplotlib

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

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