Python: The Best Image Processing Libraries

• scikit-image

  10 5,864 9.6 Python

  Image processing in Python

  

Scikit-image The Scikit-image library is a collection of image processing algorithms that are designed to be easy to use and understand. It includes algorithms for common tasks like edge detection, feature extraction, and image restoration. If you are just starting out in image processing, then this is a good library to check out!

• NumPy

  272 26,360 10.0 Python

  The fundamental package for scientific computing with Python.

  

Numpy While not exactly an image processing library, numpy is one of the most important libraries for scientific computing in Python today. It provides powerful tools like linear algebra and Fourier transforms that make it easier to work with images. If you are doing serious mathematics or data analysis with your images, then this is probably the library you want to use.

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• cheatsheets

  126 7,235 7.1 Python

  Official Matplotlib cheat sheets (by matplotlib)

  

Matplotlib The matplotlib library is a plotting library for Python. It can be used to generate plots in either the "matlab" style or the more traditional gnuplot-style, depending on your preference. Best of all, it's actually built into numpy; simply use np.imshow() and youj'll be on your way!

Suggest a related project