Software Alternatives, Accelerators & Startups

Xnapper VS Plotly

Compare Xnapper VS Plotly and see what are their differences

Xnapper logo Xnapper

Take beautiful screenshots instantly

Plotly logo Plotly

Low-Code Data Apps
  • Xnapper Landing page
    Landing page //
    2023-02-17

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.

  • Plotly Landing page
    Landing page //
    2023-07-31

Xnapper videos

Best SCREENSHOT Tool for Mac | Xnapper Review (FULL DEMO)

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to Xnapper and Plotly)
Design Tools
100 100%
0% 0
Data Visualization
0 0%
100% 100
Screenshots
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Xnapper and Plotly

Xnapper Reviews

5 Best Screenshot Tools for Mac in 2024 (Free & Paid)
In conclusion, these five screenshot apps for Mac offer a range of features to cater to different user needs. Xnapper stands out as the best all-in-one screenshot tool with its automatic beautification and screen recording capabilities. CleanShot X and Snagit are feature-rich and ideal for professionals, while Lightshot is perfect for users who prefer a simple free...
Source: storychief.io

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Social recommendations and mentions

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.

Xnapper mentions (6)

  • Show HN: I made a tool to make you popular
    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
  • "Your work is art. 🖼️ Frame it 🖼️ Portrait Mode for developers, now in Arc!" – The Browser Company (@browsercompany) via X
    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
  • Show HN: Chalk.ist – Create beautiful images of your source code
    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
  • Is there any screenshot tool that can add gradient background?
    Xnapper can do this. https://xnapper.com/. Source: about 1 year ago
  • Those making $500/month on side projects in 2023 – Show and tell
    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
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Plotly mentions (30)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    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
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 7 months ago
  • Junior Developer asked to make Saaas in first month.
    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
  • PSA: You don't need fancy stuff to do good work.
    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
  • Wait, but I thought they were the same thing?
    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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What are some alternatives?

When comparing Xnapper and Plotly, you can also consider the following products

BrandBird - Brand your Twitter content uniquely

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.

Pika.style - A free tool to quickly convert screenshots into beautiful website and device mockups. You can create customizable images for App Store, Instagram, and more

Chart.js - Easy, object oriented client side graphs for designers and developers.

Screely - Screely instantly generates dribbble-ready images. Simply upload your screenshot and we'll do the rest.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application