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Microsoft Office Excel VS Matplotlib

Compare Microsoft Office Excel VS Matplotlib and see what are their differences

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Microsoft Office Excel logo Microsoft Office Excel

Microsoft Office Excel is a commercial spreadsheet application.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Microsoft Office Excel Landing page
    Landing page //
    2023-04-21
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Microsoft Office Excel videos

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Michael Net Worth

More videos:

  • Tutorial - How to use review tab(Microsoft Excel part-6)
  • Tutorial - How To Pass Microsoft Excel Test - Get ready for the Interview
  • Review - Microsoft Excel Review Tab All Option,Ms Excel के review Tab को जानिए हिंदी में,Ms excel Review Tab!

Matplotlib videos

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Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Microsoft Office Excel and Matplotlib)

Microsoft Office Excel

Matplotlib

Spreadsheets
100 100%
Spreadsheets
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Project Management
100 100%
Project Management
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

Share your experience with using Microsoft Office Excel and Matplotlib. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Microsoft Office Excel and Matplotlib

Microsoft Office Excel Reviews

  1. Unleashing the Potential with Microsoft Office Excel

    A software program created by Microsoft that uses spreadsheets to organize numbers and data with formulas and functions. It is one of the best software for daily use Microsoft Office Excel has been an absolute game-changer for me in the realm of spreadsheet applications. Whether it's managing data, creating intricate formulas, or visualizing trends, Excel stands out as a powerhouse of functionality and efficiency.

    👍 Pros:    Database management
    👎 Cons:    Learning curve
  2. Everyone loves to hate it, but it's the best!

    What would we do without Excel!? Sure, the online version isn't as simple as Google Sheets, they could have chosen not to localise the function names, and it's always chaos trying to consolidate multiple budget or forecast files & templates, but aside from that it's everyone's favourite spreadsheet. What you can't do in Excel isn't worth doing. Even if there's often a better way...

  3. Reliable Software

    It is one of the best software for daily purpose.

Top 10 Data Analysis Tools in 2022
Microsoft Excel Microsoft Excel allows the direct addition of analog data from a picture to a fully editable format in Excel. Microsoft 365 Business Basic subscription costs $6/user/month. Microsoft Excel is a very efficient tool for small businesses in processing and conducting calculations on data. However, Excel is relatively old, which means limited features in terms of...
Source: www.spiceworks.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 doesn’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

Based on our record, Matplotlib seems to be more popular. It has been mentiond 98 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.

Microsoft Office Excel mentions (0)

We have not tracked any mentions of Microsoft Office Excel yet. Tracking of Microsoft Office Excel recommendations started around Mar 2021.

Matplotlib mentions (98)

  • Implementing semantic image search with Amazon Titan and Supabase Vector
    Matplotlib: for displaying our image result. - Source: dev.to / 23 days ago
  • Releasing The Force Of Machine Learning: A Novice’s Guide 😃
    Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 2 months ago
  • How to retrieve and analyze crypto order book data using Python and a cryptocurrency API
    Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 5 months ago
  • Ask HN: What plotting tools should I invest in learning?
    For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 9 months 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: 12 months ago
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What are some alternatives?

When comparing Microsoft Office Excel and Matplotlib, you can also consider the following products

Google Sheets - Synchronizing, online-based word processor, part of Google Drive.

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

LibreOffice - Calc - LibreOffice Calc is the spreadsheet program you've always needed. A fork of OpenOffice.

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

Apple Numbers - Numbers lets you build beautiful spreadsheets on a Mac, iPad, or iPhone — or on a PC using iWork for iCloud. And it’s compatible with Apple Pencil.

Plotly - Low-Code Data Apps

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