
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

IBM SPSS Statistics
LabPlot
Stata
JMP
SciDaVis
Base SAS
GraphPad Prism
OriginLab OriginPro is a comprehensive interface-based data management platform that allows users to calculate or visualize the data insights in various fields like engineering, scientific domain, or multi-sector industrial stats.

Which is more popular?
Based on our record, Matplotlib seems to be more popular. It has been mentioned 114 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | matplotlib.org | originlab.com |
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What each product offers, as listed by its team.


Possible disadvantages
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An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
OriginPro is recommended for scientists, engineers, and data analysts who regularly work with large datasets and require advanced statistical analysis and high-quality graphing tools. It is particularly beneficial for researchers in academia and industry who need to present data in a clear and visually appealing manner.
Walkthroughs and reviews on video.
Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Matplotlib and OriginPro. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
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...
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...
OriginPro is a data analysis software that is the latest version of Origin Software. OriginPro software has a spreadsheet front end. Unlike other common spreadsheets, OriginPro's worksheet is column-oriented. Each...
Recommendations tracked on public social media and blogs since March 2021.


In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review.... - Source: dev.to / 7 months ago
Numbers are useful, but sometimes it’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... - Source: dev.to / 10 months ago
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 / 10 months ago
Tracking OriginPro since Sep 2021.
When comparing Matplotlib and OriginPro, you can also consider the following products.

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.
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NumPy is the fundamental package for scientific computing with Python
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LabPlot is a KDE-application for interactive graphing and analysis of scientific data.
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Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
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Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.
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