Software Alternatives, Accelerators & Startups

Setapp VS Matplotlib

Compare Setapp VS Matplotlib and see what are their differences

Setapp logo Setapp

The one place for trusted apps. Hundreds of high-quality apps for your Mac and iPhone, including AI tools.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Setapp
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    2026-06-25
  • Setapp
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    2026-06-25
  • Setapp
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    2026-06-25
  • Setapp
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    2026-06-25
  • Setapp
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    2026-06-25
  • Setapp
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    2026-06-25

A unified marketplace for Mac and iPhone users to get hand-picked, trusted apps. Get over 260 apps for a flat fee with Setapp Membership, or purchase individual apps on flexible terms through Setapp Marketplace.

  • Matplotlib Landing page
    Landing page //
    2023-06-14

Setapp

Website
setapp.com
$ Details
paid Free Trial $14.99 / Monthly (1 Mac)
Release Date
2017 January

Setapp features and specs

  • Diverse Application Library
    Setapp provides access to a wide range of high-quality Mac applications across different categories, all from a single subscription service.
  • Cost-Effective
    For a monthly fee, users gain access to multiple paid applications, which can be more cost-effective than purchasing individual app licenses.
  • Updates and Upgrades Included
    All apps within Setapp come with automatic updates and upgrades included in the subscription, ensuring users always have the latest features and security patches.
  • Easy Installation and Management
    The Setapp platform provides a user-friendly interface for browsing, installing, and managing applications, simplifying the overall user experience.
  • Free Trial Available
    Setapp offers a 7-day free trial, allowing potential users to explore and evaluate the service before committing to a subscription.

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 Setapp

Overall verdict

  • Overall, Setapp is considered good for users who frequently use multiple Mac apps and value convenience and flexibility. It provides excellent value for money by offering a diverse selection of reliable and well-crafted applications. However, it might not be the best choice for those who only need a few specific applications or prefer to own their software outright.

Why this product is good

  • Setapp is a subscription-based service that provides access to a wide range of Mac applications for a single monthly fee. Users often find it beneficial because it offers a curated selection of high-quality apps without the need to purchase each one individually. It saves time and money for those who require multiple tools, ensuring they always have the latest versions without additional costs. Furthermore, it simplifies software management by centralizing the process of discovering, updating, and accessing various applications.

Recommended for

    Setapp is recommended for professionals, creatives, and productivity enthusiasts who use a variety of Mac applications regularly and appreciate the ease of access to a comprehensive software library without the hassle of individual purchases. It's also suitable for users who enjoy exploring new tools and apps to enhance their workflow.

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.

Setapp videos

What's Setapp?

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Setapp and Matplotlib)
Project Management
100 100%
0% 0
Data Science And Machine Learning
Productivity
100 100%
0% 0
Technical Computing
0 0%
100% 100

Questions & Answers

As answered by people managing Setapp and Matplotlib.

What's the story behind your product?

Setapp's answer

Setapp was created in 2016 by MacPaw, the company behind apps such as CleanMyMac, ClearVPN, and more. The key idea behind Setapp was to give users a simple way to discover high-quality apps for Mac. Over the years, the catalog has grown to over 260 apps and now includes tools for Mac, iOS, and web. Setapp is localized in eight languages and has users all over the world. Here are the key dates:

November 2016: Setapp closed beta is launched for the press, opinion leaders, and influencers. December 6, 2016: Setapp Beta release. January 25, 2017: Setapp public release. August 6, 2020: Setapp let users install iOS apps. August 11, 2021: Setapp arrives on iPhone and iPad. March, 2026: Single app purchase via Setapp Marketplace is introduced. Now, Setapp includes 260+ apps, 50+ iOS apps, and about 10 web apps with more to come.

What makes your product unique?

Setapp's answer

Setapp's key differentiators:

-Curation. Setapp is a curated platform with trusted, hand-picked apps โ€” not a place filled with self-submitted apps.

-Professional focus. Setapp includes apps aimed at improving productivity and workflows for professionals who rely on their Macs. Setapp users range from developers and marketers to educators, healthcare experts, logistics and retail professionals, and more.

-Flexible access. Users have two ways to get apps: a single-fee subscription to 260+ fully unlocked Mac, iOS, and web apps; or individual app purchases via Setapp Marketplace, for those who need just a few apps rather than the full catalog.

-Security. Setapp holds ISO/IEC 27001:2022, SOC 2, and GDPR certifications. Apps are not permitted to display ads or include hidden in-app purchases.

-AI access. AI+ plans give access to all popular LLM models โ€” GPT, Claude, Gemini, and Grok โ€” through a single gateway.

Setapp gives users apps they can count on. Itโ€™s not an endless store but a curated collection of apps worth usersโ€™ time and money.

Why should a person choose your product over its competitors?

Setapp's answer

-Quality over volume. The catalog includes only hand-picked, trusted apps. When downloading an app from Setapp, users can be sure it is high quality and safe to use.

-Trusted apps, no fillers. Every app is Apple-notarized, ad-free, fully unlocked, and has no features locked behind additional paywalls. Getting apps through Setapp means avoiding malware and unpleasant surprises.

-Save costs. Setapp Membership offers access to over 260 apps for a flat fee โ€” no need to subscribe to multiple individual apps and juggle subscriptions. In Setapp Marketplace, users can purchase hand-picked, trusted apps individually, with no need to double-check quality or security.

How would you describe the primary audience of your product?

Setapp's answer

Setapp is actively used by professionals who rely heavily on their Macs and want to improve their workflows โ€” including developers, IT specialists, content creators, designers, marketers, writers, educators, students, and specialists in agriculture, logistics, retail, healthcare, and other fields.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Setapp and Matplotlib

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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.
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.
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.
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...

Social recommendations and mentions

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

Setapp mentions (15)

  • Ask HN: How to Sell as a Software Engineer?
    > I've reached the conclusion that software quality and even price matters much less than distribution, especially now. I highly doubt that is true. We don't yet know how end-users will make purchasing decisions now that almost anyone can build something that "works". Taking AI out of the picture: you still need to define the target market segment before you build anything. You still need to find a way to... - Source: Hacker News / 2 months ago
  • Show HN: BoringBar โ€“ a taskbar-style dock replacement for macOS
    There could be 4x buyers at $10. Iโ€™d be one of the now, the dock is a constant annoyance. The app looks great, downloading the trial now. To the appโ€™s author Iโ€™d say get as many licensees as you can fast before youโ€™re Sherlocked or somebody vibecodes a clone out of โ€œwhy notโ€. I use many free and paid apps, little QoL types, like BetterDisplay, Coctail, etc and for me the included support is of little value. These... - Source: Hacker News / 3 months ago
  • Coders Coded Their Job Away. Why Are So Many of Them Happy About It?
    I used a bunch of tools from https://setapp.com/ and no longer subscribe. I used to pay for Linear for all my personal projects, built one with CC that perfectly fits my needsโ€ฆ I also built a myriad of small tools that help me automate bunch of busy work I used to do manually, both for professional and personal projects. - Source: Hacker News / 4 months ago
  • Italian Competition Authority Fines Apple $115M for Abusing Dominant Position
    > are there any real 3rd-party AppStores for iOS now "Always has been": Setapp. Very interesting model. Readily recommend devs subscribing to this collection, but non-devs as well if you're into "there's an app for that" and fatigued with IAP. https://setapp.com/. - Source: Hacker News / 7 months ago
  • The One Productivity Tool You Didn't Know You Can't Live Without
    I use Paste, a very feature rich clipboard manager for Mac with gorgeous UI. It's not free, but it comes along with a Setapp license that I got from work, so if you already have a license you can use it to install Paste. - Source: dev.to / about 1 year ago
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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 / 4 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 / 7 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 / 8 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 / 9 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 / 10 months ago
View more

What are some alternatives?

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

Konfigure - APARTMENTS | VILLA | WORKSPACE | RETAIL

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

Metavine Platform - Metavine Platform is a comprehensive Platform-as-a-Service that help businesses build agility and compete effectively in the digital world by enabling them to iterate and create apps quickly.

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

QuickBase - Quickbase provides a no-code operational agility platform that enables organizations to improve operations through real time insights and automation across complex processes and disparate systems. โ€‹โ€‹

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