
Copper
Zoho CRM
Pipedrive
Freshsales CRM
Alore CRM
WORKetc CRM
SugarCRM
Base CRM
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
Copper
PlotlyCopper is highly recommended for small to medium-sized businesses, teams that rely on Google Workspace, and organizations looking for an intuitive and easy-to-use CRM solution. It's particularly suited for businesses looking to improve their sales processes and collaboration efficiency without the complexity of more intensive CRM systems.
Plotly 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 Copper. While we know about 34 links to Plotly, we've tracked only 1 mention of Copper. 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.
I've seen Copper CRM work quite well for contractors (assuming that your team is using or open to using Google Workspace - if you're not using Google Workspace, I'd probably ask why not? But then recommend you to use Pipedrive if you're not willing to switch to Google Workspace). Source: over 3 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
Zoho CRM - Omnichannel CRM for Businesses of all sizes
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.
Pipedrive - Sales pipeline software that gets you organized. Helps you focus on the right deals, so easy to use that salespeople just love it. Great for small teams.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Freshsales CRM - A full-fledged CRM for high-velocity sales teams.
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.