Uppy
Uploader Window
Uploadcare
Filestack
CarrierWave
CloudExplorer
tus.io
AssetPicker
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
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.
Based on our record, Plotly should be more popular than Uppy. 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.
Look at https://uppy.io/ open source and lot of integrations. You can keep moving to different levels of abstraction as required and see some good practices of how things are done. - Source: Hacker News / over 2 years ago
I just found uppy. This will be the next one I use. https://uppy.io/. Source: about 3 years ago
I’m building a photo sharing website and want to make it incredibly easy to upload photos. Of course I could just utilize AWS official packages but that’s pretty bare bones. I could also use next-s3-upload which is purpose built for Next and simplifies some things but is still fairly basic. But then there’s things like uppy that provides everything you’d ever need in an uploaded (third party sources, camera, etc.)... Source: over 3 years ago
Media file uploads with the Uppy JavaScript uploader plugin. Source: over 3 years ago
I would look at Uppy.js, I've used it in an enterprise application and it works super well, makes it super easy to do what you're trying to achieve with progress bars for each file. 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 / 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
Uploader Window - Easy File Uploader for your websites and apps
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.
Uploadcare - File uploading, media processing & content delivery for modern web apps
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Filestack - Simple file uploader and robust APIs for uploading, transforming, and delivering any file into your app. Filestack is a collection of tools and powerful APIs that make it simple to upload, transform, and deliver content.
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.