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🐲 Next generation frontend for ownCloud Infinite Scale
WebDAV/gRPC/HTTP high performance server to link high level clients to storage backends
Issue tracker only. Active development is on Gerrit at https://gerrit.collaboraoffice.com/.
🌤️ OpenCloud is the open source platform for file management, sharing and collaboration. Simple and sovereign.
An evolving how-to guide for securing a Linux server.
Xiaomi Home Integration for Home Assistant
Harness engineering beginner tutorial, from 0 to 1
Python module for parsing semi-structured text into python tables.
A simple SWE style browser agent framework that achieves SOTA results on long horizon web tasks.
Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
Fast BM25 search in Python, powered by Numpy and Numba
OpenRAG is a comprehensive, single package Retrieval-Augmented Generation platform built on Langflow, Docling, and Opensearch.
CrowdSec - the open-source and participative security solution offering crowdsourced protection against malicious IPs and access to the most advanced real-world CTI.
Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 30/30 tests passed.
A lightweight and high-performance reverse proxy for NAT traversal, written in Rust. An alternative to frp and ngrok.
An open, sub-millisecond, single-executable Firebase alternative with type-safe APIs, built-in WebAssembly runtime, realtime subscriptions, auth, and admin UI built on Rust, SQLite & Wasmtime.
High level API for using machine learning models in OpenMM simulations
Honcho: a python clone of Foreman. For managing Procfile-based applications.
Process manager for Procfile-based applications and tmux
A lightweight, lightning-fast, in-process vector database
A cloud native embedded storage engine built on object storage.
OpenData is a collection of open source databases built on a common, object-native storage and infrastructure foundation.
OpenMM is a toolkit for molecular simulation using high performance GPU code.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?