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Greenshot VS Matplotlib

Compare Greenshot VS Matplotlib and see what are their differences

ScreenSnap Pro
Stop sharing plain, boring screenshots. Add stunning backgrounds, pro annotations, and instant cloud links โ€” all in one click. Pay once, own it forever. featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Greenshot logo Greenshot

Greenshot is a free and open source screenshot tool that allows annotation and highlighting using the built-in image editor.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Greenshot Landing page
    Landing page //
    2018-09-30
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Greenshot features and specs

  • Open Source
    Greenshot is an open-source tool, meaning it is free to use and has a transparent development process. Users can view, modify, and distribute the source code.
  • Lightweight
    Greenshot has a small footprint and runs efficiently, making it suitable for use on older or less powerful systems without significantly impacting performance.
  • Customizable
    The tool offers various configuration options, allowing users to tailor the screenshot capture process and output to their specific needs.
  • Annotation Tool
    Greenshot includes built-in annotation tools, enabling users to edit, highlight, and add notes to their screenshots directly within the application.
  • Multiple Export Options
    Users can save screenshots in various formats or directly upload them to cloud services or share them via email, making it versatile for different use cases.

Possible disadvantages of Greenshot

  • Windows-Centric
    Greenshot primarily supports Windows. Users on macOS and Linux might find it less optimized or need to seek alternative solutions.
  • Learning Curve
    Although versatile, the extensive features and customization options might present a learning curve for new users, particularly those unfamiliar with screenshot tools.
  • Limited Advanced Editing
    While Greenshot offers annotation tools, it lacks advanced image editing capabilities found in more comprehensive graphic design software.
  • Occasional Bugs
    As with many open-source projects, users may encounter occasional bugs or stability issues, requiring community support or patience for fixes.
  • No Video Capture
    Greenshot is designed exclusively for capturing static screenshots and does not support video or GIF recording, unlike some of its competitors.

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

Analysis of Greenshot

Overall verdict

  • Overall, Greenshot is a recommended screenshot tool due to its comprehensive features that cater to both basic and advanced screenshot needs while being resource-efficient.

Why this product is good

  • Greenshot is considered a good tool by many users due to its simplicity, ease of use, and powerful features that are highly beneficial for creating and editing screenshots. It offers various annotation tools, multiple output options, and integration with other services which enhance productivity and documentation processes.

Recommended for

  • Students who need to include annotated screenshots in their reports or presentations.
  • Office workers who frequently share screen captures in emails or documents.
  • Software developers and testers who require detailed screenshots for bug reporting and documentation.
  • Anyone looking for an easy-to-use, free, and reliable screenshot tool.

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Greenshot videos

+ Add

My Greenshot Review 2017

More videos:

  • Tutorial - Complete Greenshot Tutorial for Beginners | Best Screen Capture Tool for Windows 10
  • Review - Greenshot Screenshot App Review

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Greenshot and Matplotlib)

Greenshot

Matplotlib

Screenshot Annotation
100 100%
Screenshot Annotation
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Screenshots
100 100%
Screenshots
0% 0
Technical Computing
0 0%
Technical Computing
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 Greenshot and Matplotlib

Greenshot Reviews

Top 13 Free Snagit Alternatives For 2021
Greenshot is a free and open source screen-capture tool that can serve as a Snagit free alternative for Windows 7. It is quite unfortunate that Greenshot is only compatible with Windows, but hey, itโ€™s free, so we canโ€™t judge.
Source: screenrec.com
15 Best Snagit Alternatives in 2020
Greenshot is an open source screen capture tool. This tool allows you to quickly capture screenshots of a selected region, window, or entire screen. It also helps you to capture scrolling web pages from the Internet Explorer and other browsers.
Source: www.guru99.com
30 Best Free Screen Capture Tools and Plugins
Greenshot can capture any region on the screen or a web page and present the options to annotate or highlight parts of the shot. Interestingly, it provides an option to save the file or upload it to Flickr or Picasa. But it runs only on Windows PC.
Source: www.hongkiat.com

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Greenshot might be a bit more popular than Matplotlib. We know about 117 links to it since March 2021 and only 114 links to Matplotlib. 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.

Greenshot mentions (117)

  • Flameshot โ€“ Powerful, yet simple to use open-source screenshot software
    For the last 10(ish) years I've been using Greenshot [1]. I haven't found any issues with it but it is only available on Windows and Mac. [1] https://getgreenshot.org/. - Source: Hacker News / about 2 years ago
  • Help removing ads on https://getgreenshot.org/
    Just looking for filters to remove ad space on https://getgreenshot.org/. There is a space at the top on one on the right side. Thanks! Source: over 2 years ago
  • How to get rid of the dialog box after print screen ?
    This is a program installed called Greenshot. It's a utility used for taking screenshots. If you want it to go away, you can uninstall greenshot. Source: over 2 years ago
  • This guy just dropped the BEST MOD of the month and yall dont talk abt it ????
    Here's a useful free software for that https://getgreenshot.org/. Source: about 3 years ago
  • I opened Start and I searched for Snipping Tool to capture this!
    I had to install Greenshot once for a class and now I use it for all of my screenshots. Source: about 3 years ago
View more

Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing Greenshot and Matplotlib, you can also consider the following products

ShareX - ShareX is a free and open source program that lets you capture or record any area of your screen...

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

LightShot - The fastest way to take a customizable screenshot.

NumPy - NumPy is the fundamental package for scientific computing with Python

Snagit - Screen Capture Software for Windows and Mac

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

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