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NumPy VS LicenseSpring

Compare NumPy VS LicenseSpring and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

LicenseSpring logo LicenseSpring

Reliable and easy to use License-As-A-Service (LaaS) for for any software application
  • NumPy Landing page
    Landing page //
    2023-05-13
  • LicenseSpring Landing page
    Landing page //
    2021-07-24

Issuing and managing software licenses does not have to be difficult. LicenseSpring allows software vendors to control the state of their application according to their license agreements. It's easy to configure the simplest or the most complex license policies, and then use them as a template when issuing licenses.

Connections from the Software Vendor's client applications to our cloud based service is done through one of our SDKs or through the use of our RESTful APIs.

We also provide an end-user portal as well as a distributor portal to allow self-serve support, as well as aide in providing a mechanism to help vendors distribute their software through resellers.

LicenseSpring

$ Details
freemium $99.0 / Monthly
Platforms
Windows Web Android Mac OSX Linux Docker iOS REST API Cross Platform iPhone Shopify Java Python .Net Azure C Go C++ Objective-C Swift AWS Salesforce

NumPy features and specs

No features have been listed yet.

LicenseSpring features and specs

  • Node Locked Licensing: Yes
  • Time Limited Licensing: Yes
  • Floating Licenses: Yes
  • Consumption Licensing: Yes
  • Trial Licensing: Yes
  • Dynamic Entitlements: Yes
  • SSO Integration: Yes

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

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

LicenseSpring videos

LicenseSpring Explained

More videos:

  • Demo - LicenseSpring Overview and Demo
  • Tutorial - How to Node-Lock Licenses with LicenseSpring
  • Tutorial - Offline License Activation with LicenseSpring

Category Popularity

0-100% (relative to NumPy and LicenseSpring)
Data Science And Machine Learning
License Management
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Security & Privacy
0 0%
100% 100

Questions and Answers

As answered by people managing NumPy and LicenseSpring.

What's the story behind your product?

LicenseSpring's answer:

We are a spin-off of PDF Pro Software Inc, a company that develops and commercializes PDF Editing software for desktop. Back in 2017, we were looking for a good, no-nonsense license manager on the market, and to our surprise we found two types of solutions: the first category were archaic but expensive incumbents such as Flexera or Thales who were not interested in creating modern user-friendly Licensing solutions. The other category were many startups, whom we did not trust to survive in the long run, and simply did not have the capabilities we needed. We decided to build our own licensing tool, and offer it initially for free to anyone who wanted to give us feedback. Today we boast over 1000 active accounts with vendors of all sizes and industries. Our goal is to be the best licensing API in the world.

What makes your product unique?

LicenseSpring's answer:

I think our ease of use, and our no nonsense approach to our customer support / client onboarding.

Why should a person choose your product over its competitors?

LicenseSpring's answer:

Do not chose Licensespring if you would like to be price gouged by Flexera or Thales, as we are an order of magnitude cheaper since we charge based on usage, not based on licensed revenue.

User comments

Share your experience with using NumPy and LicenseSpring. For example, how are they different and which one is better?
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Reviews

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

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

LicenseSpring Reviews

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

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than LicenseSpring. While we know about 112 links to NumPy, we've tracked only 5 mentions of LicenseSpring. 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.

NumPy mentions (112)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 18 days ago
  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 18 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 23 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 25 days ago
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
View more

LicenseSpring mentions (5)

  • how to package on-prem solution?
    User licenses (these are either machine based, or named user based, like having a unique user name). You'll need to build some type of license entitlement functionaly on your software, or integrate it with something like LicenseSpring. Source: about 1 year ago
  • Show HN: Easy-to-use licensing library for .NET apps
    If I were concerned about licensing, then I'm really not sure I'd put my faith into a library like thus - not least that if the app just shipped with the dll, then it could be swapped out in the blink of an eye with a stub. There's significantly more involved in managing this sort of thing that a simplistic library such as this can manage. Companies concerned with licensing usually do it because they're protecting... - Source: Hacker News / over 1 year ago
  • Looking for self-hosted alternative to Keygen.sh (for Software Licensing)?
    Hello, you can also try us out (licensespring.com), we're similar to the providers you mentioned. Source: almost 2 years ago
  • Got my Python software finished. How do I secure it?
    I found https://licensespring.com/ which sounds amazing but it seems once you apply it the code is still held locally even if the licence is not O.K., meaning it can still be reverse engineered. Source: almost 2 years ago
  • Got my Python software finished. How do I secure it?
    Take a look, might be suitable: https://licensespring.com/. Source: almost 2 years ago

What are some alternatives?

When comparing NumPy and LicenseSpring, you can also consider the following products

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

Quick License Manager - Quick License Manager (QLM) is a license protection framework that creates professional and secure license keys to protect software against piracy.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Labs64 NetLicensing - Monetize your digital products and services

OpenCV - OpenCV is the world's biggest computer vision library

10Duke Enterprise - Powerful cloud-based licensing solution designed for fast-growing software businesses looking to scale up software licensing & minimize friction.