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.
Open Source Software Library for Machine Intelligence
A deep learning framework that puts Python first
Fundamental package for scientific computing with Python
Multi-language interactive computing environments.
Easy-to-use and general-purpose machine learning in Python
High-performance, easy-to-use data structures and data analysis tools for the Python programming language
Deep Learning library for Theano and TensorFlow
A Python app framework built specifically for Machine Learning and Data Science teams
Scalable and Flexible Gradient Boosting
The Enterprise Data Science Platform for Data Scientists, IT Professionals and Business Leaders
A hosted Jupyter Notebook service
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
A framework for managing SQL based data operations.