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.
High-performance, easy-to-use data structures and data analysis tools for the Python programming language
A deep learning framework that puts Python first
Multi-language interactive computing environments.
Fundamental package for scientific computing with Python
Open Source Software Library for Machine Intelligence
Easy-to-use and general-purpose machine learning in Python
A Python app framework built specifically for Machine Learning and Data Science teams
Understand complex data sources and design and deploy new ones
Scalable and Flexible Gradient Boosting
A hosted Jupyter Notebook service
An open-source machine learning library and a script language based on the Lua programming language
Deploy machine learning models on mobile and IoT devices
Deep Learning library for Theano and TensorFlow
The Enterprise Data Science Platform for Data Scientists, IT Professionals and Business Leaders
It provides everything you need to develop GPU-accelerated applications