Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Maccy
Paste App
CopyQ
Ditto
Pastebot
Clipy
CopyCat Clipboard
Rectangle
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.
{"users" => "Individuals who frequently work with text, developers, writers, and anyone who needs an efficient way to manage their clipboard history.", "environments" => "Ideal for macOS users who appreciate native app integration and minimal system resource usage."}
Based on our record, Maccy should be more popular than Plotly. It has been mentiond 52 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
Yes and no [0]. There's no chance I'm the only one. And no, it's not a chatbot or automation tool or anything else that's "selling shovels", it's an end product. I've had multiple people reach out to me organically with how much it has helped them, reviews are very good and so on. But really, you don't even need this counterexample because it's trivial. It's like a C fanatic saying "No useful software can be made... - Source: Hacker News / 6 months ago
Maccy (Mac) - Lightweight, open source and fast. Minimal and effective. - Source: dev.to / about 1 year ago
MicDrop - Add a global "mute microphone" button in the status bar (https://getmicdrop.com/) AltTab - Give the same (sane) behaviour to cmd+tab as alt+tab on Windows (https://alt-tab-macos.netlify.app/) Rectangle - Window snapping (https://rectangleapp.com/) Maccy - A clipboard history manager (https://maccy.app/) DropZone - Add a "shelf" zone in the same way as Dropover. It's less good than Dropover, but it's... - Source: Hacker News / over 2 years ago
I haven't used Ditto so I don't know how closely macOS clipboard managers compare to it, but there's certainly a fair number of programs for the Mac out there that sound similar to Ditto's own description, from the free, open source Maccy to the somewhat over-the-top $13 Pastebot. There are other utility programs that include similar functionality; personally, I'm using Alfred, a keyboard-driven launcher,... - Source: Hacker News / over 2 years ago
My favourite discovery for 2023 was https://maccy.app/ which provides a Windows-style clipboard history. It covers off one of the few things I love from Windows. - Source: Hacker News / over 2 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.
Paste App - Paste is a clipboard manager for Mac and iOS devices.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
CopyQ - CopyQ : Clipboard Manager with Advanced Features.
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.
Ditto - Easy to use interface; Search and paste previous copy entries; Keep multiple computer's clipboards in sync; Data is encrypted when sent over the network; Accessed from tray icon or global hot key; Select entry by double click, enter key or drag drop…