Plotly VS DevRev
Compare Plotly VS DevRev and see what are their differences
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Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
DevRev
Trace
CX Genie
Intercom
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Shorter Loop
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Featurebase
A DevCRM connects the makers to the customer by delivering a system of record, social experience, and a suite of platform connections to create a single source of truth for all customer, product, and work-related data.
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.
Based on our record, Plotly seems to be a lot more popular than DevRev. While we know about 34 links to Plotly, we've tracked only 2 mentions of DevRev. 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
We faced a similar situation at https://devrev.ai/ a few months back, but we decided to go fully client side rather than using server side solutions like Cube. We developed our own open-source library Meerkat (https://github.com/devrev/meerkat) which allows you to generate and execute SQL queries in the browser. - Source: Hacker News / over 2 years ago
Why donโt you check out DevRev? The idea here is to consolidate customer support (GPT chatbot, tickets, SLAs etc) with software development tools (issues, sprints, epics etc). Similar to how we experienced consolidation in infrastructure with AWS and what weโre seeing across other industries, we all know the world doesnโt need more tools. They also announced it's free for startups so perhaps youโd qualify for it... Source: over 3 years 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.
Trace - Visualized Node.js monitoring
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
CX Genie - Transform customer support with no-code AI-powered solutions
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.
Intercom - Intercom is a customer relationship management and messaging tool for web businesses. Build relationships with users to create loyal customers.