Fetchify
Loqate
Ideal postcodes
Primo Postcodes
getAddress.io
Smarty
ConsumerCloudServices Consumer Address Finder
Google Maps
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
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.
Fetchifyโs 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, Fetchifyโs solutions reduce operational costs, improve customer experience, and ensure data integrity for smarter business decisions. Whether youโre cleaning an existing database or preventing bad data at entry, Fetchify provides the reliable, scalable data validation tools your business needs to grow.
Fetchify
PlotlyPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
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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.
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.
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.
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, weโve expanded our product range, added international datasets, and continue our mission to make customer data cleaner, faster, and smarter for every business.
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.
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
Based on our record, Plotly seems to be more popular. It has been mentiond 34 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.
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
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