Xnapper is a nataive macOS Application that enables users to take beautiful screenshots instantly, making it "social media ready" the moment you snap your screen.
Based on our record, Plotly should be more popular than Xnapper. It has been mentiond 30 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.
600 hours to build another screenshot editor? Which just adds some gradient and aligns the image? What are some differences between your product and the following free services? https://screenzy.io/ https://screenshot.rocks/ https://www.fabpic.app/ https://shoteasy.fun/screenshot-beautifier https://gemoo.com/screen-capture/ https://xnapper.com/ https://codeimage.dev/. - Source: Hacker News / 3 months ago
No, it's taking a screenshot of the browser's content, then adding padding to the surrounding image, and letting you pick a colour for it. Screenshot Software like Cleanshot X and Xnapper have this feature built in, either as a default or as a customisable setting.They're basically making it unnecessary to use a third-party screenshot tool to achieve the same effect. Why would you want it? I have no clue.... Source: 7 months ago
Reminds me of https://xnapper.com/, except for code. I imagine some people might tweet snippets of code, and this makes the snippet look much more visually appealing. - Source: Hacker News / 10 months ago
Xnapper can do this. https://xnapper.com/. Source: about 1 year ago
I built a screenshot app for macOS and made ~$3k/mo from it :) https://xnapper.com People like the app for its ability to turn a normal boring screenshot into a beautiful one that they can share on social media instantly. - Source: Hacker News / 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 / 22 days ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: about 1 year ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: over 1 year ago
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