AI Tools for Python Tools

LLM inference, agents, RAG, Python exec in browser, no back end

Source EU AI Act Scanner for Python AI Projects

A collaborative data science notebook with a free Student plan that includes more powerful hardware than the standard free tier.

PandasAI is a revolutionary Python library that seamlessly merges generative AI with the popular Pandas data manipulation library. It simplifies data analysis by enabling users to interact with cumber

Python Data Science Handbook by Jake VanderPlas - AI tool

Efficiently enhance and manipulate images with seamless integration to popular deep learning frameworks.

Natural Language Processing in Python by Steven Bird, Ewan Klein, and Edward Loper - AI tool

Lep is the command-line interface (CLI) for Lepton AI, which allows users to create, develop, and deploy AI models known as photons, both locally and on the Lepton AI cloud. The tool offers commands t

Complete platform to craft standout AI products — built on Netflix-born Metaflow, Outerbounds is the managed ML platform for data scientists and ML engineers.

Understands your Jupyter notebook, writes and executes code.

Automate data preprocessing, select and tune models, deploy models, monitor performance efficiently.

Easily build AI models, monitor applications, and utilize open-source frameworks.

Textrai is an open-source AI library for building semantic search, RAG, and intelligent text applications with embeddings and lightweight pipelines. It integrates with popular embedding models (Huggin

Deep Learning with Python by François Chollet - AI tool

AI pair programmer which suggests code snippets and entire functions in real-time.

Code-powered spreadsheet tool with Python, SQL, and AI integration.

Open-source machine learning framework by Google.

Deep Learning with Python by François Chollet - AI tool

A framework for building NLP applications (e.g. agents, semantic search, question-answering) with language models.

Quickly develop deep learning models, train large networks efficiently, and scale up models with GPU, CPU, and cloud computing.

Process text, extract information, tokenize, parse, and recognize named entities with speed and accuracy.

Ship Blazing-Fast Python Code — Every Time.

A framework for building NLP applications (e.g. agents, semantic search, question-answering) with language models.

CEBRA is a library designed to estimate Consistent EmBeddings of high-dimensional Recordings utilizing Auxiliary variables. By leveraging self-supervised learning algorithms implemented with PyTorch,