What are the best Development & Training Tools?
TensorFlow, NumPy, Jupyter, Pandas, and PyTorch are the most popular tools in the category “Development & Training”. “High Performance” is the primary reason developers pick TensorFlow over its competitors, while “Great for data analysis” is the reason why NumPy was chosen.
Easy-to-use and general-purpose machine learning in Python
Open Source Software Library for Machine Intelligence
Multi-language interactive computing environments.
A free open-source mathematical software system
Open-source, browser-local data exploration using DuckDB-WASM and PRQL
Measure LLM quality and catch regressions
Understand complex data sources and design and deploy new ones
Fundamental package for scientific computing with Python
High-performance, easy-to-use data structures and data analysis tools for the Python programming language
The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.
A platform for collaborative data science and analytics
A CLI tool to run machine learning without writing code
An easy-to-use federated learning platform (By Alibaba)
Improve the cost, performance, and accuracy of Gen AI apps
An open source tool for creating data science pipelines