NumPy, TensorFlow, Jupyter, Pandas, and PyTorch are the most popular tools in the category “Development & Training Tools”. “Great for data analysis” is the primary reason developers pick NumPy over its competitors, while “High Performance” is the reason why TensorFlow was chosen.
A deep learning framework that puts Python first
Fundamental package for scientific computing with Python
High-performance, easy-to-use data structures and data analysis tools for the Python programming language
Open Source Software Library for Machine Intelligence
Easy-to-use and general-purpose machine learning in Python
Multi-language interactive computing environments.
Deep Learning library for Theano and TensorFlow
The Enterprise Data Science Platform for Data Scientists, IT Professionals and Business Leaders
A hosted Jupyter Notebook service
A Python app framework built specifically for Machine Learning and Data Science teams
It provides everything you need to develop GPU-accelerated applications
An open-source machine learning library and a script language based on the Lua programming language
Scalable and Flexible Gradient Boosting
A framework for managing SQL based data operations.