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NumPy VS Fetchify

Compare NumPy VS Fetchify and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Fetchify logo Fetchify

Fetchify delivers fast, accurate address, email, phone and bank validation tools that help businesses capture clean, verified customer data, reduce failed deliveries and improve checkout experiences worldwide.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Fetchify Fetchify Address and Data Validation
    Fetchify Address and Data Validation //
    2025-11-11

Fetchify is a leading SaaS provider of data validation and cleansing tools designed to help businesses capture, verify and maintain accurate customer information across every digital touchpoint. Our powerful cloud-based APIs and plugins make it simple to integrate real-time address lookup, email, phone, and bank validation into your website, CRM, or ecommerce platform โ€” improving checkout conversion, reducing failed deliveries, and protecting data quality at source.

Built on trusted global datasets including Royal Mail PAFยฎ, Multiple Residence, and Not Yet Built data, Fetchify delivers unparalleled accuracy for UK and international addresses, with rooftop-level precision through Rooftop Geocodes. Our intelligent validation services ensure that every customer record โ€” from signup forms to order fulfilment โ€” is complete, verified, and compliant.

Fetchifyโ€™s SaaS platform is easy to deploy and scale, offering ready-made integrations with popular platforms such as Shopify, WooCommerce, Magento, Salesforce, and Microsoft Dynamics, as well as flexible REST APIs for custom applications. Developers can get started in minutes with simple documentation and transparent pay-as-you-go pricing or subscription plans.

Trusted by thousands of organisations across ecommerce, finance, logistics, retail, and marketing, Fetchifyโ€™s solutions reduce operational costs, improve customer experience, and ensure data integrity for smarter business decisions. Whether youโ€™re cleaning an existing database or preventing bad data at entry, Fetchify provides the reliable, scalable data validation tools your business needs to grow.

Fetchify

$ Details
paid Free Trial ยฃ25.0 / Monthly
Platforms
Microsoft Dynamics 365 NetSuite Salesforce Shopify Plus Magento WooCommerce Prestashop BigCommerce JavaScript Json REST API Google Chrome Firefox
Release Date
2008 October
Startup details
Country
United Kingdom
State
London
City
London
Founder(s)
Adam Stylo
Employees
10 - 19

NumPy features and specs

  • 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 of NumPy

  • 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.

Fetchify features and specs

  • Global Address Auto-Complete
    Search as you type address validation for accurate global address data capture
  • Postcode Lookup
    Lookup UK Addresses quickly and easily with Royal Mail PAF postcode finder
  • Email Validation
    Capture valid email addresses, reduce spam risk and optimise campaign effectiveness with Email Address Validation
  • Phone Number Validation
    Check validity on global landline and mobile phone numbers
  • UK Bank Validation
    Validation UK Bank Account and Sort-Code data for accurate payment information capture
  • Data cleansing
    Cleanse out of date address lists, email contacts, phone numbers and bank accounts
  • Geolocation
    Add geolocation data to global addresses
  • Eircodes
    Validate addresses for the Republic of Ireland with Eircode data
  • UK PAF Multiple Residence
    Enhance UK PAF with Multiple Residence address lookups

Analysis of NumPy

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.

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

Fetchify videos

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Category Popularity

0-100% (relative to NumPy and Fetchify)
Data Science And Machine Learning
Address Verification API
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Address Finder
0 0%
100% 100

Questions & Answers

As answered by people managing NumPy and Fetchify.

What makes your product unique?

Fetchify's answer:

Fetchify combines powerful, developer-friendly APIs with trusted, high-quality address and data sources such as Royal Mail PAFยฎ, Multiple Residence, and Not Yet Built datasets to deliver unmatched accuracy. Unlike many validation tools, Fetchify provides granular rooftop-level geocoding, flexible integrations, and transparent pricing โ€” all through a single, reliable SaaS platform that scales effortlessly across ecommerce, CRM, and enterprise systems.

Why should a person choose your product over its competitors?

Fetchify's answer:

Fetchify offers a balance of accuracy, speed, and simplicity rarely matched in the data validation market. Our technology focuses on preventing bad data at entry rather than correcting it later, helping businesses cut failed deliveries, boost checkout conversion, and improve customer experience. With global coverage, robust uptime, UK-based support, and flexible APIs that fit effortlessly into existing workflows, and a knowledgable, accessible support team, Fetchify is the trusted alternative to providers like Loqate, Melissa, and Smarty.

How would you describe the primary audience of your product?

Fetchify's answer:

Fetchify is designed for businesses and developers who rely on accurate customer data โ€” from ecommerce and retail to logistics, finance, and marketing but the Fetchify product range is built for any SaaS platform to be lightweight, easy to implement and cost effective to use. Typical users include SaaS developers, data managers, digital marketers, and IT teams looking to integrate address lookup, email, phone, and bank validation directly into forms, CRMs, or websites to improve data quality and reduce operational friction.

What's the story behind your product?

Fetchify's answer:

Originally founded as Crafty Clicks in 2008, the business was acquired by software investment group ClearCourse in 2019. Since then, rebranding as Fetchify and investing in our people as well as our products, we have evolved from a simple UK postcode lookup service into a comprehensive SaaS data validation platform serving thousands of global businesses. Over the years, weโ€™ve expanded our product range, added international datasets, and continue our mission to make customer data cleaner, faster, and smarter for every business.

Which are the primary technologies used for building your product?

Fetchify's answer:

Fetchify is built on a modern, scalable cloud infrastructure using AWS and proprietary algorithms for high-speed query performance, and robust RESTful APIs for integration. Our services leverage multiple data sources including Royal Mail PAFยฎ, Ordnance Survey, USPS, and other global address providers. Continuous monitoring, automated scaling, and distributed clusters ensure reliability, speed, and resilience across all Fetchify validation products.

Who are some of the biggest customers of your product?

Fetchify's answer:

-Royal Bank of Scotland -SharkNinja -Security Watchdog -Gousto -The Access Group -Mattel -GTech -LG -The Kennel Club -Movember -Enterprise Rent-A-Car -Moonpig Group

User comments

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Reviews

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

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

Fetchify Reviews

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Social recommendations and mentions

Based on our record, NumPy seems to be more popular. It has been mentiond 122 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.

NumPy mentions (122)

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Fetchify mentions (0)

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

What are some alternatives?

When comparing NumPy and Fetchify, 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.

Loqate - The Standard in Global Address Verification

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

Ideal postcodes - We help businesses improve UX and data quality with a cutting edge address validation service.

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

Primo Postcodes - UK Postcode Address Lookup API - Maximise E-Commerce Checkouts, Increase Conversions, Reduce Data Entry & Improve Accuracy.