
Envoy
Proxyclick
SwipedOn
The Receptionist
TractionGuest
Teem
WhosOnLocation
VisitorTrack
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
Envoy
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 should be more popular than Envoy. It has been mentiond 34 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.
Envoy (https://envoy.com) | Software Eng (Product, Backend) | San Francisco, CA (ONSITE) I'm hiring engineers for a Special Projects team to rapidly iterate and ship experimental products with the goal to define what the future of workplaces will be (think wayfinding, access control, hospitality, visitor/employee experience, etc.). We'll be working with some of the most impactful companies around the world. Reach... - Source: Hacker News / over 1 year ago
We have been working closely with users of Cerbos such as Envoy, Blockchain.com, Utility Warehouse, 9fin, and Salesroom on this release. We canโt wait to hear more about what you would like to see in future releases - join our Slack community to join the conversation. - Source: dev.to / over 2 years ago
Envoy sells products for managing hybrid workspaces: https://envoy.com/ So hardly an unbiased source. - Source: Hacker News / almost 3 years ago
Https://envoy.com was founded and is run by an Ottawa dude. Although yeah Shopify definitely counts :). Source: over 3 years ago
For software, we started with https://gogetcorp.com/ which I liked, but we couldn't figure out a way to arrange foreign payment to renew with our purchasing rules. We're replacing with https://envoy.com/ just because we were already using it for guest check-in. 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
Proxyclick - Connect with Confidence
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.
SwipedOn - SwipedOn is a smart but simple visitor management solution. Our paperless gateway makes connecting people intuitive and easy.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
The Receptionist - The Receptionost is a visitor managemnt solution that has visitor logging system to track visitor traffic.
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.