
Snapdrop
Syncthing
Wormhole.app
ShareDrop
Send Anywhere
PairDrop
WeTransfer
LocalSend
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
Snapdrop
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.
Takes forever to send even small video files with high speed internet. Horrible documentation for transferring instructions. No option in the app menu to choose a destination folder. There's no way to compress all of your videos on an android to send to the Mac, even though that is suggested in their "features". And not 1 single video could I find in 2 hours of google searches that answered these questions. For a company touting such "ease of use", as a 40 year mac user, this was another waste of time app. If the company would like to contact me and answer these questions, if it is indeed an "easy, reliable app", I will gladly help them make a video that actually walks people through the problems I have encountered.
SnapDrop does an excellent job in sharing multiple files to another computer. Just zip/compress a folder with multiple files and select that zipped folder to send to the other computer or mobile device.
Based on our record, Snapdrop should be more popular than Plotly. It has been mentiond 232 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.
Snapdrop Snapdrop is mainly a browser-based service rather than a native mobile app, though some unofficial wrappers exist. It requires a modern web browser and uses WebRTC for peer-to-peer file transfers. Because it runs in a browser, an internet connection may be necessary. Snapdrop works best for sharing small files, while larger transfers may be slower due to browser constraints. The service is free and does... - Source: dev.to / 6 months ago
If the constraint is that you don't want to install any software, there are a bunch of these web based AirDrop clones, besides the ones mentioned here are two more: https://pairdrop.net/ https://snapdrop.net/ I've tried PairDrop, it works well. - Source: Hacker News / over 1 year ago
I love Snapdrop [0] for that use case, since it doesn't require downloading/installing an app. [0] https://snapdrop.net/. - Source: Hacker News / over 1 year ago
> My fave is https://snapdrop.net it's so funny how everyone have a favorite. They all use standardized hacks on top of hacks, just because ISP do not want to let you serve content and will fight for NAT, which is their only line of defense from everyone else messing with their precious IGMP multicast hacks so they can subsidize their TV business on your internet bill. it's all so funny. But the best joke is how... - Source: Hacker News / about 2 years ago
Https://snapdrop.net/ is a great solution that unlike KDE doesn't require installation. Along with https://webwormhole.io/ they are my go to for transferring assets between systems. Both use WebRTC. - Source: Hacker News / about 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 / 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
Syncthing - Syncthing replaces proprietary sync and cloud services with something open, trustworthy and...
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.
Wormhole.app - Wormhole lets you share files with end-to-end encryption and a link that automatically expires.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
ShareDrop - HTML5 clone of Apple's AirDrop - easy P2P file transfer powered by WebRTC
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.