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NumPy VS PermitCore.dev

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

NumPy

NumPy is the fundamental package for scientific computing with Python

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
PermitCore.dev

Create, implement, manage, and sell software licenses—with an API, 8 SDKs, a built-in Store, and 0% commission.

Rating
0 reviews
Pricing
Freemium Free trial €29 / Monthly (Starter plan)
Alternatives Is it good?
CloudCLI
Shared cloud environments for AI coding agents. Run Claude Code, Cursor CLI, Codex, and Gemini CLI from any device, API, or automation tool. 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, NumPy seems to be more popular. It has been mentioned 122 times since March 2021.

social mentions
122 vs 0
Data Science And Machine Learning popularity
100% vs 0%
alternatives listed
189 vs 7

Base details

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

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

About NumPy and PermitCore.dev

In their own words, as submitted to SaaSHub.

NumPy
PermitCore.dev

No description of NumPy yet.

PermitCore is a software licensing platform for independent developers and software teams. It covers the complete create → implement → sell workflow in one place. Teams can create and manage license keys, devices, activations, entitlements, expiration, revocation, subscriptions, and offline or...

Read more about PermitCore.dev

Features and specs

What each product offers, as listed by its team.

NumPy 5 features
PermitCore.dev 6 features
  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.
  • Complete licensing lifecycle
    Create, implement, and sell software licenses from one platform.
  • Built-in License Store
    Sell licenses directly with Stripe automation and no 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.

NumPy
PermitCore.dev

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

No analysis of PermitCore.dev yet.

Videos

Walkthroughs and reviews on video.

NumPy 3 videos + Add
PermitCore.dev 4 videos + Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos

  • - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

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
NumPy
PermitCore.dev
100% 100%
Data Science And Machine Learning
0% 0%
0% 0%
License Management
100% 100%
100% 100%
Data Science Tools
0% 0%
0% 0%
Developer Tools
100% 100%

Questions & Answers

As answered by people managing NumPy 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.

NumPy 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.

NumPy 122 mentions
PermitCore.dev 0 mentions

View more

Tracking PermitCore.dev since Sep 2026.

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