
Shutter
Greenshot
Snipping Tool
MWSnap
FastStone Capture
PicPick
LightShot
Snagit
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Shutter
PlotlyShutter is recommended for users who need a versatile screenshot tool with editing capabilities, especially those creating tutorials, guides, or any visual content that requires annotations. It's also suitable for those who prefer an open-source solution available on Linux platforms.
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 Shutter. 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.
Hey I use "shutter" https://shutter-project.org/ which has a nice blur option. Source: over 3 years ago
I also used Flameshot and Shutter. Shutter was very feature rich, and I think it's the closest in terms of having the same workflow actions as ShareX -- I don't think it fully supports Wayland yet though and has a TON of dependencies. Flameshot has had issues with Wayland and IMHO as of now most of its features has been implemented in native screencaptures (and if you need the tray icon, I think on Gnome there's... Source: over 3 years ago
Maybe look into Shutter but it can only screenshot scrolling webpages no any other windows. Source: over 3 years ago
Shutter (https://shutter-project.org) is a very good tool for creating and editing screenshots. Source: over 3 years ago
At home on my own PC, I use something called "Shutter" https://shutter-project.org/. Source: over 4 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
Greenshot - Greenshot is a free and open source screenshot tool that allows annotation and highlighting using the built-in image editor.
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.
Snipping Tool - Use Snipping Tool to capture a screen shot, or snip, of any object on your screen, and then annotate, save, or share the image
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
MWSnap - MWSnap is basically a free to use Windows snapping tools that are used for snapping any part of the screen that is currently displaying on the front of all opened programs and windows.
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.