
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
TanStack Table
AG Grid
MUI X Data Grid
Mantine
Material React Table
Headless UI
Tailwind CSS
Tablefront
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.
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Based on our record, Plotly should be more popular than TanStack Table. 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.
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
TanStack Table for the core table logic. - Source: dev.to / over 1 year ago
UI libraries aside, the whole headless rave has spread to packages and libraries for standalone components, headless text editors like Tiptap and Platejs, headless table components like Tanstack table, and more out there to explore. - Source: dev.to / over 2 years ago
To create the task table I have used [@tanstack/react-table](https://tanstack.com/table/v8) as it has many features like searching, pagination, sorting, and filtering. As it is a Headless table library it handles most of the complex tasks on its own. - Source: dev.to / over 2 years ago
If you're looking for information about tables in React, you can explore the TanStack Table documentation for version 8 at tanstack.com/table/v8. TanStack Table is a headless UI library that allows you to build powerful tables and datagrids in various frameworks like TS/JS, React, Vue, Solid, and Svelte while retaining control over markup and styles. The documentation will provide you with detailed information on... - Source: dev.to / almost 3 years ago
Refer to TanStack Table documentation. - Source: dev.to / almost 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.
AG Grid - The best HTML5 datagrid in the world
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
MUI X Data Grid - A fast and extensible React data table and React data grid, with filtering, sorting, aggregation, and more.
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.
Mantine - React library, 60+ hooks and components with dark theme support and focus on accessibility