Mozilla Location Service API wrapper
[](https://github.com/LukaJCB/ts-mls/actions/workflows/ci.yml) [](https://badge.fury.io/js/ts-mls) [ cryptographic foundation for Hush - credential and KeyPackage generation
Discord voice connection library — WebSocket gateway, UDP, RTP, encryption, DAVE/MLS
E2EE group identity and membership for Enkaku using MLS
Real MLS for React Native macOS apps — wraps the ping-openmls-sdk Rust core via UniFFI.
DIDComm v2 Group Messaging Protocol with MLS
Node.js bindings for the Group Protocol Stack: a layered, end-to-end encrypted group-messaging protocol family built on top of MLS (RFC 9420).
Library for all functions used throughout the mls-crm application
IDX MLS real estate integration for React, Next.js, and Framer — property search, map results, listings, lead capture, and CRM via Buying Buddy.
MLS API SDK for JavaScript.
Wix Code MLS integration using the RETS protocol
WASM/JS bindings for host-chat-mls — optional ratchet group encryption
Library for reading MLS flat files and parsing into javascript objects
Reference implementation of @softeq/mls contract
Based on video.js project
mls项目的公共组件库
This library was generated with [Angular CLI](https://github.com/angular/angular-cli) version 10.0.6.
Spark MLS Api client
MLS Preview is a simple command line tool that tells you about a team's upcoming matchup.
US real estate data — Zillow trends, MLS listings, mortgage rates, county records. MCP server for AI agents.
MLS team logos as React components
Install the MCLS player from npm
Create a new MLS Framework app with a single command
MLS implementation in Rust
This crate is a repository of MLS / RFC9420-related data structures.
Decentralized MLS — end-to-end encrypted group messaging with consensus-based membership management over gossipsub-like networks
Media LS — terminal-native audio/video file browser with metadata columns, TUI preview, and structured JSON output
Experimental Message Layer Security (MLS)-inspired library for P2P secure group communication
TLS codec and MLS specific encoding used by mls-rs
HPKE implementation based on mls-rs-crypto-traits used by mls-rs
Agent-side MLS (RFC 9420) wrappers for the Parley messaging protocol — KeyPackages, group lifecycle, encrypt/decrypt for private channels.
MLS (RFC 9420) integration for the Group Protocol Stack: openmls 0.8 plus a ChaCha20-Poly1305 AEAD layer driven by labelled exporters.
Browser/WASM bindings for the Group Protocol Stack.
Derive macro crate for mls-rs-codec
Core components and traits for mls-rs
Ruby library for integrating with the 42Floors MLS
Live table standings coming stright from MLSsoccer.com
CocoaPods plugin which allows you to generate a framework or static library from a podspec.
MyLittleSuite Setup CI
Official AWS Ruby gem for AWS Clean Rooms ML. This gem is part of the AWS SDK for Ruby.
High performance scoring engine for ML models
Self-ML is, as the name implies, a self-ml parser. It also has some utilities to aid in building self-ml files.
PredicSis ML SDK is the official SDK for PredicSis API: http://launch.predicsis.com/
Add this gem to your project to proudly tell people that your project involves AI and ML
AI4R is a lightweight, educational Ruby library featuring clean implementations of core machine learning and AI algorithms—such as decision trees, neural networks, k-means, genetic algorithms, and even a bit size Transformers architecture covering encoder, decoder, and seq2seq variations. Designed with simplicity and clarity in mind, this library is ideal for students, educators, and developers who want to understand these algorithms line by line. With no external dependencies, no GPU support, and no production overhead, AI4R serves as a practical and transparent way to explore the foundations of AI in Ruby. It is a long-maintained open-source effort to bring accessible, hands-on machine learning to the Ruby community.
This is the simple REST client for Firebase ML API V1. Simple REST clients are Ruby client libraries that provide access to Google services via their HTTP REST API endpoints. These libraries are generated and updated automatically based on the discovery documents published by the service, and they handle most concerns such as authentication, pagination, retry, timeouts, and logging. You can use this client to access the Firebase ML API, but note that some services may provide a separate modern client that is easier to use.
This is the simple REST client for Firebase ML API V1beta2. Simple REST clients are Ruby client libraries that provide access to Google services via their HTTP REST API endpoints. These libraries are generated and updated automatically based on the discovery documents published by the service, and they handle most concerns such as authentication, pagination, retry, timeouts, and logging. You can use this client to access the Firebase ML API, but note that some services may provide a separate modern client that is easier to use.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.