High-performance, high-scalability distributed computing for the BEAM.

• UpdatedFeb 17, 2025
• Erlang

Admidio is a free open source user management system for websites of organizations and groups. The system has a flexible role model so that it’s possible to reflect the structure and permissions of your organization.

• UpdatedApr 28, 2025
• PHP

Web-based software to manage a non-profit food coop (product catalog, ordering, accounting, job scheduling).

• UpdatedApr 29, 2025
• Ruby

Node.js SDK for the Webflow Data API

• UpdatedApr 21, 2025
• TypeScript

• UpdatedOct 31, 2021
• Kotlin

Cluster membership protocol with failure detection inspired by Cassandra and DynamoDB

• UpdatedApr 14, 2025
• Rust

MongoDB Data Store Adaptor for ASP.NET Core Identity

• UpdatedJan 9, 2019
• C#

Probabilistic Data Structures and Algorithms in Python

• UpdatedFeb 24, 2020
• Python

ASP.NET Identity implementation for Umbraco's native member data

• UpdatedDec 8, 2022
• C#

This is a membership management system, it's chiefly a database of member data for legal purposes, setting up subscription payments, managing access control permissions, logging events, and interfacing with Discourse permissions.

• UpdatedJul 22, 2020
• JavaScript

Membership system written in PHP, includes registration form, login form.

• UpdatedSep 15, 2022
• PHP

Anonymous Proof of Ethereum Address Ownership

• UpdatedSep 23, 2024
• TypeScript

Better membership software for WordPress.

• UpdatedFeb 19, 2025
• PHP

GitHub Action that provides an Organization Membership Audit

• UpdatedAug 30, 2023
• JavaScript

Simple Membership solution for Kirby 3

• UpdatedFeb 18, 2019
• PHP

DynamoDB Data Store Adaptor for ASP.NET Core Identity

• UpdatedDec 26, 2018
• C#

Consensus (Raft) and Memberlist (SWIM) implementation for .NET micro-services

• UpdatedSep 14, 2023
• C#

Write you an in-process gRPC service mesh.

• UpdatedMay 11, 2022
• Rust

Simple Membership plugin for Kirby CMS

• UpdatedJan 5, 2018
• PHP

Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradients. To achieve robustness to users dropping out, existing practical privacy-preserving federated learning schemes are based on (t, N)-threshold secret sharing. Such schemes rely on a strong assumption to guara…

• UpdatedJun 9, 2021
• Jupyter Notebook