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Payhip VS Matplotlib

Compare Payhip VS Matplotlib and see what are their differences

Payhip

Sell digital downloads, courses, coaching, and more from one simple platform.

Rating
4.0 · 1 review
Pricing
Freemium Free trial
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 more popular. It has been mentioned 114 times since March 2021.

social mentions
0 vs 114
eCommerce popularity
100% vs 0%

Base details

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

Payhip
Matplotlib
Website payhip.com matplotlib.org
Pricing
Freemium Free trial Official pricing
Open source
Platforms
Shopify Wix Squarespace BigCommerce WooCommerce Wordpress Ecwid +4
—
Company Startup from the United Kingdom —
Listed in
eCommerce eCommerce Platform eCommerce Tools Digital Products Online Courses Online Courses Platform Membership Management Membership Billing +5
Data Science And Machine Learning Development Data Visualization Javascript UI Libraries +1

About Payhip and Matplotlib

In their own words, as submitted to SaaSHub.

Payhip
Matplotlib

We make it easy for you to sell anything online anywhere. Digital downloads: Sell any type of digital download such as ebooks, software, design assets, templates, video, music and more. If you can save it, you can sell it. Online courses: Create online courses with rich features such as videos,...

Read more about Payhip

No description of Matplotlib yet.

Features and specs

What each product offers, as listed by its team.

Payhip 9 features
Matplotlib 6 features
  • Sell Digital Downloads
    Sell any type of digital download such as ebooks, software, design assets, templates, video, music and more. If you can save it, you can sell it.
  • Sell Online Courses
    Create online courses with rich features such as videos, digital files, quizzes and assignments. Publish drip courses and provide completion certificates.
  • Sell Coaching Services
    Sell your expertise through 1:1 coaching sessions. Easily set up online meetings with clients using integrations with Zoom, Calendly and more.
  • Sell Memberships
    Allow your customers to pay you on a recurring basis to access your digital downloads or membership group. Manage your members easily.
  • Sell Physical Products
    Sell and manage inventory for any physical products. Manage your store, fulfill orders, run promotions and more.
  • Store Builder
    Create a stunning website that captures the hearts and attention of your customers with our easy-to-use store builder.
  • Embeds
    Embed Payhip's products any eCommerce sites such as Shopify, Wix, and more.
  • Auto-handling of UK & EU VAT
    We are fully compliant and can report & pay digital EU & UK VAT on your behalf.
  • Powerful Marketing Tools
    Drive sales and conversions with our powerful built-in marketing tools such as affiliate marketing, coupon codes, referrals, and more.
  • 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.

Payhip
Matplotlib

Overall verdict

  • Payhip is a viable choice for small to medium-sized businesses and individual creators looking to sell digital products online. It is praised for its simplicity, affordability, and flexibility, making it a strong option in the e-commerce space.

Why this product is good

  • Payhip is generally considered a good platform for digital product sales due to its user-friendly interface, ease of use, and affordable pricing. It offers features like a simple setup process, integration with third-party tools, and comprehensive customer management. Additionally, it provides tools for marketing, such as discount codes and affiliate options, which can enhance sales potential.

Recommended for

    Payhip is recommended for authors, digital content creators, artists, and small businesses who want to sell e-books, software, memberships, courses, or other digital products without the hassle of building a custom e-commerce platform.

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.

Payhip 6 videos + Add
Matplotlib 1 video + Add

Payhip.com Review | How To Sell Your eBook Online

More videos

  • - How to Sell an eBook Online ABSOLUTELY FREE using Canva + Payhip
  • - How Payhip Works - Sell ebooks direct
  • - GUMROAD VS PAYHIP Review - Which is Better? Pricing, Comparison & Features
  • - Payhip Review - A Good Platform for Selling Digital Products?
  • - PayHip Review - Is This Legit & Can You Use This Platform To Make Money Online? (Watch First!)

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
Payhip
Matplotlib
100% 100%
eCommerce
0% 0%
0% 0%
Data Science And Machine Learning
100% 100%
100% 100%
eCommerce Platform
0% 0%
0% 0%
Technical Computing
100% 100%

User comments

Share your experience with using Payhip 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.

Payhip 4.0 · 1 review
Matplotlib no reviews yet
  • 8 Best Patreon Alternatives for Creators (2023)
    talkbitz.com · Mar 2023

    Payhip is a platform that allows you to sell digital downloads, courses, and memberships. It’s an easy and simple way to manage your sales and keep track of your customers. You can create a payhip account for free,...

  • Top 14 Gumroad Alternatives To Sell Digital Downloads!
    checkya.com · Dec 2022

    Payhip is a platform that allows you to sell a variety of products and services online, including digital downloads, courses, coaching, and more. It is designed to be easy to use, with a responsive and user-friendly...

  • SendOwl Alternatives
    www.storeprose.com · Mar 2021

    At the same time, Payhip does not differentiate between its free users and paid users when it comes to features. So, even if you are a free-plan user of Payhip, you will have access to every Payhip feature.

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Social recommendations and mentions

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

Payhip 0 mentions
Matplotlib 114 mentions

Tracking Payhip since Mar 2021.

  • 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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