
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Zipy
Sentry.io
Better Stack
Middleware.io
Phare.io
Requestly
Grafana
Bird Eats Bug
Plotly
ZipyPlotly 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 Zipy. While we know about 34 links to Plotly, we've tracked only 2 mentions of Zipy. 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 / 5 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
Zipy is also a session replay and error tracking tool, which uses rrweb to capture the DOM. On top of that they have many small and big features which adds value to their product, must visit https://zipy.ai. - Source: Hacker News / about 2 years ago
Hey HN commmunity, Karthik here! Super stoked to announce the launch of Zipy today. Launching the product that you've been so dearly working on for months is like sending your newborn to school for the first time. Excitement to nervousness, anxiety to thrill, all sorts of emotions hit you at the same time. But the entire team of Zipy is confidently looking forward to the feedback you guys have in store for the... - Source: Hacker News / over 4 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.
Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Better Stack - Everything you need to ship higherโquality software faster.
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.
Middleware.io - Middleware observability platform provides complete visibility into your apps & stack, so you can monitor & diagnose issues anytime, anywhere.