Software Alternatives & Startups

Piktochart VS Matplotlib

Compare Piktochart VS Matplotlib and see what are their differences

Piktochart

Piktochart for Business Storytelling

Rating
0 reviews
Pricing
Freemium $14 / Monthly
Matplotlib

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

Rating
0 reviews
Pricing
Open source

Which is more popular?

Based on our record, Matplotlib seems to be a lot more popular than Piktochart. While we know about 114 links to Matplotlib, we've tracked only 4 mentions of Piktochart.

social mentions
4 vs 114
Design Tools popularity
100% vs 0%
alternatives listed
240+ vs 238

Base details

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

Piktochart
Matplotlib
Website piktochart.com matplotlib.org
Pricing
Freemium $14 / Monthly Official pricing
Open source
Platforms
Web
—
Company Startup from Malaysia —
Listed in

About Piktochart and Matplotlib

In their own words, as submitted to SaaSHub.

Piktochart
Matplotlib

Piktochart is an infographic tool to help you present your presentations, pitches, proposals, data visualizations, charts, timelines, structure, process related visuals and diagrams in a compelling way.

Read more about Piktochart

No description of Matplotlib yet.

Features and specs

What each product offers, as listed by its team.

Piktochart 1 feature
Matplotlib 6 features
  • Maps
    Chloropleth
  • 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.

Piktochart
Matplotlib

Overall verdict

  • Piktochart is generally considered a good choice for those who need to create visually appealing graphics without requiring advanced graphic design skills. It is appreciated for its ease of use, comprehensive features, and the ability to produce high-quality content quickly.

Why this product is good

  • Piktochart is a versatile online tool designed for creating engaging infographics, presentations, and reports. It is favored for its user-friendly interface, which allows individuals with little to no graphic design experience to create professional-quality visuals. It offers a variety of customizable templates, icons, and images to make the design process simple and efficient. Additionally, Piktochart supports collaboration, making it optimal for teams working together on projects.

Recommended for

    Piktochart is recommended for educators, marketers, small businesses, and non-profit organizations that need to communicate information effectively through visual content. It is also suitable for individuals looking to create professional presentations, reports, or infographics for personal or professional projects.

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.

Piktochart 3 videos + Add
Matplotlib 1 video + Add

Review: Using Piktochart in the Classroom (great for Infographics!)

More videos

  • - Canva vs. Piktochart
  • - Piktochart Tutorial: A Simple Guide to Piktochart for Beginners

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
Piktochart
Matplotlib
100% 100%
0% 0%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using Piktochart 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.

Piktochart no reviews yet
Matplotlib no reviews yet
  • The Top 10 Alternatives to Marq in 2024
    piktochart.com · Nov 2024

    While each of these design tools offers unique features and benefits, Piktochart stands out for its AI-powered capabilities and ease of use. Whether you're a business, educator, or marketer, Piktochart can help you...

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Social recommendations and mentions

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

Piktochart 4 mentions
Matplotlib 114 mentions

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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 / 8 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 / 11 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 Piktochart and Matplotlib

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