Top 10 Most used Python Libraries

Top 10 Most used Python Libraries:-

  • Tensorflow
  • Django
  • PySpark
  • Scikit-learn
  • SciPy
  • OpenCV
  • Selenium
  • Matplotlib
  • NumPy
  • Pandas

Top 10 Most used Python Libraries

1. Tensorflow

This library was developed by Google in collaboration with Brain Team. TensorFlow is used in almost every Google application for machine learning. Tensorflow is an open-source library used to implement deep network and computational work. Specially used for ML.


Django is an open-source python framework designed for building Websites. or we can say that it is a framework for web development


Spark is a fast and general cluster computing system for Big Data. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Spark Streaming for stream processing.


scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.


SciPy (pronounced “Sigh Pie”) is open-source software for mathematics, science, and engineering. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use but powerful enough to be depended upon by some of the world’s leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!


OpenCV supports a wide variety of programming languages like C++, Python, Java, etc, and is available on different platforms including Windows, Linux, OS X, Android, iOS, etc. Also, interfaces based on CUDA and OpenCL are also under active development for high-speed GPU operations.OpenCV focuses on Computer Vision or it is used for Computer Vision.


Selenium is one of the Top 10 libraries, the selenium is used for testing a b application or web-apps and the interesting thing is that you don't need any knowledge about scripting languages.


Matplotlib is used for 2D Graphics and visualizations also it provides object-oriented API for attaching plots into an application using general GUI toolkits like Tkinter, TX, etc.


Numpy is a core library in python programming, it is used for scientific calculations also it provides us high-performance multidimensional array objects and tools for working with these matrices.


Pandas is written for python programming for data analysis and visualizations and mainly it is used for reading data sets. it offers data structures and operations for manipulating numerical tables and time series.