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Stripe Chargeback Protection VS NumPy

Compare Stripe Chargeback Protection VS NumPy and see what are their differences

Stripe Chargeback Protection logo Stripe Chargeback Protection

Defend your business from the unpredictability of disputes

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Stripe Chargeback Protection Landing page
    Landing page //
    2023-06-21
  • NumPy Landing page
    Landing page //
    2023-05-13

Stripe Chargeback Protection videos

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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

Category Popularity

0-100% (relative to Stripe Chargeback Protection and NumPy)
Fintech
100 100%
0% 0
Data Science And Machine Learning
Digital Trust
100 100%
0% 0
Data Science Tools
0 0%
100% 100

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Reviews

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

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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

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Stripe Chargeback Protection. While we know about 109 links to NumPy, we've tracked only 7 mentions of Stripe Chargeback Protection. 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.

Stripe Chargeback Protection mentions (7)

  • I’ve never and I don’t think I’ll ever win a dispute at this rate. I’m so annoyed
    Yea, unfortunately Stripe doesn’t make these decisions. Couple things you could consider: * Adding additional verification steps like Stripe Identity * Requiring 3DS, which shifts loss liability in some cases to the card issuer * Using Stripe Checkout with Chargeback Protection: https://stripe.com/radar/chargeback-protection. It costs 0.4%, but you wouldn’t need to worry about losses at all (up to a certain volume... Source: about 2 years ago
  • Scared of stripe
    You could consider looking into using Chargeback Protection, which will add to your processing fee, but will protect you from loss from chargebacks on eligible transactions (i.e., purchase made via the Checkout). You won't have to provide evidence, you won't lose the money (up to a certain amount per year); it's essentially an insurance system. And from my reading of their docs, I don't think you'd have to deal... Source: about 2 years ago
  • Chargeback lost - $7k worth or merchandise in customer hands, what can be legally done?
    I have seen companies out there that specialize in combatting chagebacks for businesses. Basically any chargeback that happens, the company takes care of disputing it. For a company like yourself that processes high dollar transactions/products/services, you may do well to seek such a company and use their service, get your own merchant account and stop using 3rd party processors. Stripe has a chargeback... Source: about 2 years ago
  • Reddit's website uses DRM for fingerprinting (2020)
    Stripe offers Payment Links [0], which makes it really easy to accept payments (just paste a link into your product page and handle a webhook serverside; a single href is adequate). They also have a separate "Checkout" offering [1], which requires some code client- and server-side to generate the page. So far, Stripe has been awesome for me selling $2.50/mo subscriptions [2], and as far as I know, suspicious... - Source: Hacker News / about 2 years ago
  • Twitter is down 10.4% since IPO in 2013
    Right, Apple is only providing the hardware and it requires to use a (partnered) processor, like Stripe, which was the example they used in their recent announcement. Stripe coincidentally sells chargeback protection as a service https://stripe.com/radar/chargeback-protection if that is a concern. - Source: Hacker News / over 2 years ago
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NumPy mentions (109)

  • 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 / 1 day 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 / 9 months ago
  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
  • JSON in data science projects: tips & tricks
    Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 6 months ago
View more

What are some alternatives?

When comparing Stripe Chargeback Protection and NumPy, you can also consider the following products

Stripe: Radar - Fraud prevention done right

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

DyScan - Stop fraud and process payments faster

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

Chargeback - Ditch the manual work needed to manage disputes

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