
Ditto
CopyQ
Maccy
Clipy
ClipboardFusion
CopyCat Clipboard
ClipClip
RecentX
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Ditto is recommended for users who frequently work with large amounts of text or data and need an efficient way to manage their clipboard history. It's also suitable for developers, writers, and office professionals who require a reliable clipboard management tool.
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, Ditto should be more popular than Plotly. It has been mentiond 61 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.
Ditto (Windows) - One of the most popular clipboard managers for Windows. Free, efficient and gets the job done. - Source: dev.to / about 1 year ago
The most famous is the clipboard one (https://ditto-cp.sourceforge.io/). I'd be surprised if they were referring to another "Ditto" software. - Source: Hacker News / over 2 years ago
I use Ditto (https://ditto-cp.sourceforge.io/). It uses about 5MB Ram and lets you expire clips. - Source: Hacker News / over 2 years ago
Ditto works well for me. If you have a cloud based file storage service like Google Drive or Dropbox, put the ditto database file in that folder and you'll also have an auto backup. Source: almost 3 years ago
In case you are not aware: https://ditto-cp.sourceforge.io/. - Source: Hacker News / about 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
CopyQ - CopyQ : Clipboard Manager with Advanced Features.
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.
Maccy - Lightweight open-source clipboard manager for macOS
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Clipy - Clipy is a clipboard extension for macOS.
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.