Hunter.io
Apollo.io
Snov.io
Lusha
ZoomInfo
Clearbit
AnyMailFinder.com
ZeroBounce
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Hunter.io
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.
I often use the Hunter Google Chrome extension to assist me in discovering the contact details of new outreach targets. The only drawback is that I quite often exceed my free monthly allowance of lead requests.
Based on our record, Hunter.io should be more popular than Plotly. It has been mentiond 155 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.
A few things worth flagging: PDL beats Clearbit's historical rates for US and Western European companies, but drops to ~52% match rate for Japan and South Korea specifically. Apollo underperforms on raw company matching but returns significantly more contacts per domain in Prospector-style queries than Clearbit's Prospector ever did โ the tradeoff is more stale titles in the result set. Hunter.io is fast and cheap... - Source: dev.to / about 2 months ago
The real conclusion I'd push back on from every vendor comparison I've read: there is no single tool that solves reverse lookup at 80%+ accuracy with clean data. The waterfall is the answer. The question is whether you build it yourself with PDL + Hunter.io + Prospeo, or use a platform like Clay to abstract the plumbing โ and whether you're willing to pay FullEnrich's premium for that abstraction. - Source: dev.to / 2 months ago
Last year I ran the same LinkedIn Sales Navigator export through three enrichment APIs. Apollo matched 61% of the emails. Hunter.io matched 54%. An OSINT-first pipeline I'd built in n8n โ pulling from public sources before hitting any paid API โ matched 79% and cost roughly $0.003 per contact. The delta wasn't magic. It was sequence. - Source: dev.to / 3 months ago
Start with diligent email list hygiene. Remove invalid, dormant, or unengaged addresses regularly. Use free verification tools like NeverBounce or Hunter.io โ many of which offer limited free API calls โ or build your own heuristics. - Source: dev.to / 6 months ago
By putting a mailto link out there, you also share your contact details with any legitimate outreach specialists that wish to reach you. Finding all your company emails hidden in the html code is as easy as a single tap on a hunter.io widget (many similar tools are also available). - Source: dev.to / almost 2 years ago
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
Apollo.io - Apolloโs predictive prospecting, sales engagement, and actionable analytics help the teams to reach its full revenue potential.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Snov.io - Snov.io is a multichannel lead generation and outreach automation platform that helps B2B teams find qualified leads, automate email and LinkedIn campaigns, and manage deals in one built-in CRM.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Lusha - Search less. Sell more.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.