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Emailage VS NumPy

Compare Emailage VS NumPy and see what are their differences

ComplyCube
Verify your customers in under 15 seconds anywhere in the world with a cutting-edge SaaS & API platform for Identity Verification and AML/KYC compliance. featured
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Emailage logo Emailage

Financial fraud detection & email risk scoring

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Emailage Landing page
    Landing page //
    2023-04-17
  • NumPy Landing page
    Landing page //
    2023-05-13

Emailage videos

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FinovateSpring 2015 / Emailage

More videos:

  • Review - MoneyLive Spring 2019: interview with Pieter van Tienen, Emailage

NumPy videos

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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 Emailage and NumPy)

Emailage

NumPy

Fraud Prevention
100 100%
Fraud Prevention
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
eCommerce
100 100%
eCommerce
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Emailage and NumPy. 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 Emailage and NumPy

Emailage Reviews

Fraud prevention platform Seon raises a $12M Series A round led by Creandum
SEON are seen as competing with Emailage, Iovation, Threatmetrix. However, SEON’s thesis is that social media is a great proxy of a legitimate user vs bot/fake fraudster, so it looks heavily at social accounts to weed out fraudsters.
Source: techcrunch.com

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.
Source: www.analyticsvidhya.com
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 more popular. It has been mentiond 107 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.

Emailage mentions (0)

We have not tracked any mentions of Emailage yet. Tracking of Emailage recommendations started around Mar 2021.

NumPy mentions (107)

  • 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 / about 2 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 / about 2 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
  • A Comprehensive Guide to NumPy Arrays
    Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago
  • Beginning Python: Project Management With PDM
    A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
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What are some alternatives?

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

iovation - iovation offers device-based solutions for fraud prevention and authentication.

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

MaxMind - Determine the geographical location of website visitors based on the IP addresses for fraud detection, content localization, geo-targeting.

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

Kount - eCommerce fraud detection & prevention

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

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