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It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits.
7,212
companies
Technoloy Usage Stadistics and Market Share
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Matplotlib is used in 83 countries
There are 65 alternatives to Matplotlib
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Company | Country | Industry | Employees | Revenue | Technologies |
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| Matplotlib | ||||
| Matplotlib | ||||
United States | Retail | 2.3M | $611B | Matplotlib | |
United States | Motor Vehicle Manufacturing | 66K | $75B | Matplotlib | |
Canada | Software Development | 21K | $4.8B | Matplotlib | |
United States | Financial Services | 22K | $6.9B | Matplotlib | |
Telecommunications |
| Matplotlib | |||
| Matplotlib | ||||
United States | Software Development | 118K |
| Matplotlib | |
It Services And It Consulting |
| Matplotlib |
We have data on 7,212 companies that use Matplotlib. Our Matplotlib customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
Matplotlib is a popular data visualization library in the Python programming language. It provides a wide variety of high-quality 2D plotting capabilities, making it an essential tool for data scientists, analysts, and researchers. With Matplotlib, users can create line plots, bar plots, histograms, scatter plots, and much more, allowing them to effectively communicate insights and trends within their data.
Charting Libraries like Matplotlib belong to the broader category of data visualization tools. These tools are crucial for transforming raw data into visual representations, enabling easier interpretation and analysis. Matplotlib, specifically, stands out for its flexibility and customization options, allowing users to fine-tune every aspect of their plots to meet specific requirements. Whether it's creating simple visualizations or complex, publication-quality figures, Matplotlib excels in catering to a wide range of user needs within the data visualization domain.
Founded in 2003 by John D. Hunter, Matplotlib initially stemmed from the desire to replicate the plotting capabilities of MATLAB in Python. Hunter, a neurobiologist, recognized the gap in Python's data visualization offerings and sought to create a robust plotting library that would facilitate interactive and publication-ready visualizations. Since its inception, Matplotlib has evolved into a cornerstone tool within the Python ecosystem.
Currently, Matplotlib holds a significant market share within the Charting Libraries category, owing to its extensive functionality, active community support, and seamless integration with other data analysis libraries like NumPy and Pandas. As the demand for data-driven insights continues to grow across industries, Matplotlib is poised to maintain and potentially expand its market share in the future. Its adaptability, reliability, and continuous development make it a go-to choice for professionals looking to visualize their data effectively.
You can access an updated list of companies using Matplotlib by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 7,212 companies that use Matplotlib.
Matplotlib is used by a diverse range of organizations across various industries, including "Retail", "Motor Vehicle Manufacturing", "Software Development", "Financial Services", "Telecommunications", "Software Development", "It Services And It Consulting". For a comprehensive list of all industries utilizing Matplotlib, please visit TheirStack.com.
Some of the companies that use Matplotlib include edX Boot Camps, 2U Bootcamps, Walmart, Tesla, Shopify, Navy Federal Credit Union, GTA (Global Technology Associates), 2U Bootcamps Instructional Engagement, Meta, Metiora and many more. You can find a complete list of 7,212 companies that use Matplotlib on TheirStack.com.
Based on our data, Matplotlib is most popular in United States (2,166 companies), United Kingdom (402 companies), India (270 companies), France (195 companies), Germany (171 companies), Canada (162 companies), Spain (139 companies), Brazil (125 companies), Netherlands (72 companies), Switzerland (55 companies). However, it is used by companies all over the world.
You can find companies using Matplotlib by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.