Software Alternatives, Accelerators & Startups

Matplotlib VS Fetchify

Compare Matplotlib VS Fetchify and see what are their differences

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Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

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.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • 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

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

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 Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Fetchify videos

No Fetchify videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Matplotlib and Fetchify)
Data Science And Machine Learning
Address Verification API
0 0%
100% 100
Technical Computing
100 100%
0% 0
Address Finder
0 0%
100% 100

Questions & Answers

As answered by people managing Matplotlib 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 Matplotlib and Fetchify

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...

Fetchify Reviews

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Social recommendations and mentions

Based on our record, Matplotlib seems to be more popular. It has been mentiond 114 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.

Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
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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 Matplotlib 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

NumPy - NumPy is the fundamental package for scientific computing with Python

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

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

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