Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Lusha
Apollo.io
ZoomInfo
Hunter.io
Clearbit
UpLead
DiscoverOrg
RocketReach
Lusha is a continuously updating database that provides B2B Salespeople with targeted, accurate, and timely business information. Lusha aggregates its data from multiple sources, cross-checking and updating LIVE to ensure up-to-the-minute data accuracy and database cleanliness.
Plotly
LushaPlotly 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.
Based on our record, Plotly seems to be a lot more popular than Lusha. While we know about 34 links to Plotly, we've tracked only 1 mention of Lusha. 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
Most SDR stacks start with a contact database โ ZoomInfo, Apollo, or Lusha โ and treat enrichment as a one-time step at the top of the funnel. The problem: these databases are 3โ18 months stale on average. Job titles change. Companies restructure. Decision-makers who were Director of Engineering in Q1 are VP by Q3. - Source: dev.to / 3 months ago
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.
Apollo.io - Apolloโs predictive prospecting, sales engagement, and actionable analytics help the teams to reach its full revenue potential.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
ZoomInfo - ZoomInfo is a B2B database providing detailed business information on people and companies.
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.
Hunter.io - Find all the email addresses related to a domain