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Matplotlib VS PermitCore.dev

Compare Matplotlib VS PermitCore.dev and see what are their differences

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?
PermitCore.dev

Software licensing with Store 2.0: branded storefronts, 8 SDKs, Stripe checkout, automated delivery, and 0% PermitCore sales commission.

Rating
0 reviews
Pricing
Freemium Free trial €29 / Monthly (Starter plan)
Alternatives Is it good?
Axcrypt
AxCrypt is a powerful, easy-to-use encryption tool that protects your files, passwords, and personal information with strong AES-256 security. Available on Windows, Mac, Android, and iOS, it keeps your data safe wherever you go. 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
114 vs 0
Data Science And Machine Learning popularity
100% vs 0%
alternatives listed
240+ vs 7

Base details

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

Matplotlib
PermitCore.dev
Website matplotlib.org permitcore.dev
Pricing
Open source
Freemium Free trial €29 / Monthly (Starter plan) Official pricing
Platforms —
Web
Listed in
Data Science And Machine Learning Development Data Visualization Javascript UI Libraries +1
License Management Developer Tools Security & Privacy Software Development +1

About Matplotlib and PermitCore.dev

In their own words, as submitted to SaaSHub.

Matplotlib
PermitCore.dev

No description of Matplotlib yet.

PermitCore is a licensing-first platform for independent developers and software teams. It covers the complete create → implement → sell workflow in one connected system. Store 2.0 gives every vendor a responsive, branded software storefront with hero campaigns, product collections, category...

Read more about PermitCore.dev

Features and specs

What each product offers, as listed by its team.

Matplotlib 6 features
PermitCore.dev 6 features
  • 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.
  • Complete licensing lifecycle
    Create, implement, and sell software licenses from one platform.
  • Store 2.0 branded storefront
    Responsive visual merchandising, trials, bundles, scheduled discounts, Stripe checkout, customer accounts, automatic license delivery, and 0% PermitCore sales commission.
  • Flexible license models
    Online, offline, floating, node-locked, subscription, metered, and perpetual licensing.
  • Reseller Program
    Give resellers a dedicated dashboard to track customers, sales, and earnings.
  • Customer Portal
    Customers can view and validate licenses, manage devices, and handle access without contacting the vendor.
  • REST API and eight SDKs
    Integrate licensing with .NET, Node.js, Python, Java, C++, PHP, Go, and Unity.

Analysis

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

Matplotlib
PermitCore.dev

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.

No analysis of PermitCore.dev yet.

Videos

Walkthroughs and reviews on video.

Matplotlib 1 video + Add
PermitCore.dev 4 videos + Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Presentation

More videos

  • - Add License Validation to a C# App with PermitCore
  • - Create a product
  • - Add licence validation

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
Matplotlib
PermitCore.dev
100% 100%
Data Science And Machine Learning
0% 0%
0% 0%
License Management
100% 100%
100% 100%
Technical Computing
0% 0%
0% 0%
Developer Tools
100% 100%

Questions & Answers

As answered by people managing Matplotlib and PermitCore.dev.

What makes your product unique?

PermitCore.dev's answer:

PermitCore gives software teams one complete path from creating licenses to implementing licensing and selling their product. Developers can generate and manage licenses, integrate them through the REST API or SDKs, and sell licenses directly through a built-in Store without paying PermitCore a commission. It also supports online and offline licensing, floating and node-locked licenses, device limits, entitlements, subscriptions, customer and reseller portals, and Stripe automation. Underneath that workflow is a security model where license keys are encrypted in the browser before storage and usable keys are never persisted in plaintext. A permanent free plan is available for indie developers.

Why should a person choose your product over its competitors?

PermitCore.dev's answer:

Choose PermitCore when you want one platform for the full licensing lifecycle instead of several disconnected tools. You can create and manage licenses, implement licensing through the REST API or SDKs, and sell licenses directly through a built-in Store. PermitCore takes no commission on those software sales. It also covers device management, online and offline use, floating seats, entitlements, subscriptions, customer and reseller portals, and Stripe automation. Browser-side encryption keeps usable license keys out of plaintext storage. PermitCore is EU-hosted, supports Enterprise self-hosting, includes a permanent free plan, and gives every paid plan a three-month free trial.

How would you describe the primary audience of your product?

PermitCore.dev's answer:

PermitCore is primarily for indie developers, SaaS founders, small software teams, agencies, and established software vendors that want one complete path from creating licenses to implementing licensing and selling the finished product. Teams can create and manage licenses, integrate them through the REST API or SDKs, and then sell licenses directly through the built-in PermitCore Store without paying PermitCore a commission on those sales. It supports desktop applications, APIs, developer tools, plugins, and other paid software, with online, offline, floating, subscription, metered, and perpetual licensing. The permanent free plan helps developers get started, while larger teams can grow into reseller management, self-hosting, and custom roles.

What's the story behind your product?

PermitCore.dev's answer:

PermitCore started from a problem we kept running into while building our own software. Adding licensing looked simple at first, but it quickly became another product to maintain: secure key storage, validation APIs, device limits, offline use, subscriptions, customer access, payments, and support all needed their own infrastructure. We built PermitCore so developers could handle that complete journey in one place: create and manage licenses, implement them through an API or SDK, and sell them directly through a built-in Store with no commission taken by PermitCore. What began as an internal solution became a developer platform designed to let other teams focus on the software they actually want to build.

Which are the primary technologies used for building your product?

PermitCore.dev's answer:

PermitCore is built on .NET 10. The backend uses ASP.NET Core, Entity Framework Core, and PostgreSQL, while the administration panel and public website use Blazor WebAssembly. Valkey handles caching and distributed coordination, and the platform is deployed with Docker and Nginx. Stripe powers subscription and Store payment automation. For licensing security, PermitCore uses established cryptographic primitives including AES-256-GCM for browser-side encryption, HMAC-SHA256 for validation, and Argon2/PBKDF2 where appropriate for key derivation and credential protection. Client SDKs are available for .NET, Node.js, Python, Java, C++, and PHP.

Who are some of the biggest customers of your product?

PermitCore.dev's answer:

PermitCore is an early-stage startup, and we do not publish customer names without their explicit permission. Our current users include indie developers, SaaS founders, agencies, and software vendors using PermitCore to create licenses, integrate licensing into their products, and sell licenses through their own built-in Store.

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Matplotlib no reviews yet
PermitCore.dev no reviews yet

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

Social recommendations and mentions

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

Matplotlib 114 mentions
PermitCore.dev 0 mentions
  • 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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Tracking PermitCore.dev since Sep 2026.

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