We have data on 20 companies that use Python Image Library (PIL/Pillow). The companies using Python Image Library (PIL/Pillow) are most often found in United States and in the Higher Education industry. Python Image Library (PIL/Pillow) is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for Python Image Library (PIL/Pillow) usage goes back as far as 1 years and 4 months.
|InnovAccer Inc.||innovaccer.com||United States||50M-100M||200-500|
|University of North Carolina at Charlotte||uncc.edu||United States||200M-1000M||1000-5000|
|Workiva Inc||workiva.com||United States||200M-1000M||1000-5000|
|Phononic, Inc.||phononic.com||United States||10M-50M||50-200|
|Rochester Institute of Technology||rit.edu||United States||200M-1000M||>10000|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 12,500 technology products, including Software Frameworks. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Software Frameworks category, Python Image Library (PIL/Pillow) has a market share of about 0.1%. Other major and competing products in this category include:
Python Imaging Library (abbreviated as PIL) (in newer versions known as Pillow) is a free library for the Python programming language that adds support for opening, manipulating, and saving many different image file formats. It is available for Windows, Mac OS X and Linux. PIL is not compatible with Python 3.x whereas Pillow supports Python 3.x.
Looking at Python Image Library (PIL/Pillow) customers by industry, we find that Higher Education (12%), Computer Software (12%) and Financial Services (8%) are the largest segments.
59% of Python Image Library (PIL/Pillow) customers are in United States, 9% are in Canada and 9% are in India.