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Topic: FastAPI
immich-drop: A Zero-Login Web App for Collecting Photos to Immich

immich-drop: A Zero-Login Web App for Collecting Photos to Immich

immich-drop is a lightweight web application designed to simplify collecting photos and videos from various sources directly into your Immich server. It provides a secure, zero-login interface for guests to upload media via invite links, ensuring privacy and efficient organization. This tool is ideal for anyone looking to gather media from friends, family, or events without requiring them to have an Immich account.

May 10, 2026
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docling-api: Scalable Document to Markdown Conversion Server

docling-api: Scalable Document to Markdown Conversion Server

docling-api is a robust and scalable backend server designed for converting a wide array of document formats, including PDFs, DOCX, and images, into Markdown. Built with FastAPI, Celery, and Redis, it supports both CPU and GPU processing, making it ideal for large-scale workflows requiring efficient text, table, and image extraction, along with OCR capabilities. This service offers flexible synchronous and asynchronous API endpoints for single and batch document conversions.

Jan 30, 2026
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SQLModel: Simplifying SQL Databases in Python with Pydantic and SQLAlchemy

SQLModel: Simplifying SQL Databases in Python with Pydantic and SQLAlchemy

SQLModel is a Python library designed for intuitive, compatible, and robust interaction with SQL databases. Built on Pydantic and SQLAlchemy, it streamlines database operations, especially within FastAPI applications, by leveraging Python type annotations. It aims to minimize code duplication and enhance developer experience with excellent editor support.

Dec 8, 2025
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LitServe: Build Custom Inference Engines for AI Models

LitServe: Build Custom Inference Engines for AI Models

LitServe is a powerful framework from Lightning AI designed to help developers build custom inference engines for a wide range of AI models and systems. It provides expert control over serving, supporting agents, multi-modal systems, RAG, and pipelines without the typical MLOps overhead. This framework offers a flexible and efficient solution for deploying AI models, whether self-hosted or managed on the Lightning AI platform.

Oct 29, 2025
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