9 best Python Dataset libraries in 2025

Python programming language was developed by Guido van Rossum in the late 1980s and early 1990s at the National Research Institute for Mathematics and Computer Science in the Netherlands. It is simple, easy to read and learn, open source, cross-platform, extensible with other languages, and has an extensive standard library. It is a powerful programming language that can be used as a scripting language for web applications, automation, artificial intelligence, and scientific computing. Analyzing and visualizing data can be very helpful in understanding data sets. Python has a wide range of libraries that provide data analysis tools to deal with data from various sources. There are several popular Python Dataset open source libraries available for developers: vision - Datasets, Transforms and Models specific to Computer Vision; tensor2tensor - deep learning models and datasets designed to make deep learning; ParlAI - evaluating AI models.