Visualize Pydantic AI agent workflows from Logfire traces as an interactive HTML diagram — tools, nested sub-agents, tokens and exact cost.

Full-stack AI app generator — FastAPI + Next.js with AI Agents, RAG, streaming, auth, and 20+ integrations out of the box.

Guardrail capabilities for Pydantic AI — cost tracking, prompt injection detection, PII filtering, secret redaction, tool permissions, and async guardrails. Built on pydantic-ai's native capabiliti…

Build Claude Code–style deep agents in Python: tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, and unlimited context — all on Pydantic AI.

Run Claude Code on Azure OpenAI & Databricks models

A secure REST API and Model Context Protocol (MCP) server for your vault.

Easy and secure implementation of Azure Entra ID (previously AD) for your FastAPI APIs 🔒 B2C, single- and multi-tenant support.

AdalFlow: The library to build & auto-optimize LLM applications.

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

Example project showing off clean/hexagonal architecture concepts in Python

Example application code for the python architecture book

Automatically mock your HTTP interactions to simplify and speed up testing

🐍💨 FastAPI Rocket Boilerplate to build an API based in Python with its most modern technologies!

it's basically chatgpt-cli, uses api.

Source code accompanying O'Reilly book: Machine Learning Design Patterns

A comprehensive Python package template to kickstart and standardize your MLOps initiatives and data pipelines.

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

A sample to run a FastAPI app on Azure Functions

Azure Machine Learning Compute debugging with PyCharm and ngrok

A curated list of references for MLOps

A native Rust library for Delta Lake, with bindings into Python

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

Test-Driven Data Analysis Functions

Connect to PBI/AAS Models via Python