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SeaweedFS is a fast distributed storage system for blobs, objects, files, and data lake, for billions of files! Blob store has O(1) disk seek, cloud tiering. Filer supports Cloud Drive, xDC replica…
Open Source Alternative to Vercel, Netlify and Heroku.
an application that automates the lifecycle of servers
Easily and securely send things from one computer to another 🐊 📦
🚀 The fast, Pythonic way to build MCP servers and clients
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Real-time & local speech-to-text server.
Document intelligence framework for Python - Extract text, metadata, and structured data from PDFs, images, Office documents, and more. Built on Pandoc, PDFium, and Tesseract.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Standardize FastAPI error/exception handling with APIException. Custom error codes, fallback logging, and beautiful Swagger UI integration.
Multilingual Document Layout Parsing in a Single Vision-Language Model
A categorized collection of FFmpeg commands for video automation pipelines.
Visualizes Video Quality Metrics (PSNR, SSIM & VMAF) calculated by ffmpeg.exe
Updated version of FreeFactory by James Hines (Lexridge) and Karl Swisher now written in Python3.
Modern admin interface for FastAPI with built-in authentication, event tracking, and security features
FastCRUD is a Python package for FastAPI, offering robust async CRUD operations and flexible endpoint creation utilities.
An extendable async API using FastAPI, Pydantic V2, SQLAlchemy 2.0, PostgreSQL and Redis.
🌼 🌼 🌼 🌼 🌼 The most popular, free and open-source Tailwind CSS component library
A Kubernetes web UI that is fully-featured, user-friendly and extensible
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
An automated document analyzer for Paperless-ngx using OpenAI API, Ollama, Deepseek-r1, Azure and all OpenAI API compatible Services to automatically analyze and tag your documents.
Voice Activity Detector (VAD) : low-latency, high-performance and lightweight