What are the best Development & Training Tools Tools?
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.
Easy-to-use and general-purpose machine learning in Python
It provides everything you need to develop GPU-accelerated applications
Fundamental package for scientific computing with Python
A deep learning framework that puts Python first
Open Source Software Library for Machine Intelligence
Multi-language interactive computing environments.
High-performance, easy-to-use data structures and data analysis tools for the Python programming language
A Python app framework built specifically for Machine Learning and Data Science teams
Deep Learning library for Theano and TensorFlow
A framework for managing SQL based data operations.
Create and productionize data science using one easy and intuitive environment
Easy to Use With the Power to Integrate All Data Types
Deepnote is a collaborative data science notebook built for teams that is shareable and Jupyter-compatible
The Enterprise Data Science Platform for Data Scientists, IT Professionals and Business Leaders
Improve the cost, performance, and accuracy of Gen AI apps
A hosted Jupyter Notebook service