Census
Hightouch
DinMo
RudderStack
Iteratively
Segment
Bytek
Heap
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Sync data from your warehouse into all your business tools with Census. Give every team the data they need to act and automate with confidence.
CensusPlotly 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 Census. While we know about 34 links to Plotly, we've tracked only 1 mention of Census. 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 vibrant ecosystem of reverse ETL solutions is emerging, with startups like Hightouch, Census, Grouparoo (open source), Polytomic, Rudderstack, and Seekwell leading the charge. Even platforms like Workato are incorporating reverse ETL functionalities with differential sync capabilities. - 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 / 6 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 / almost 2 years 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
Hightouch - What if you could power real-time product experiences with the analytical horsepower of a data warehouse?
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.
DinMo - Turn your customer data into profitable growth. Discover the composable CDP which makes it easy to collect, enrich, segment, and activate your customer data in all your business platform.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
RudderStack - Agentic power for the entire customer data lifecycle
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.