HelgeKrueger

react-select

The Select Component for React.js

react-cosmos

Sandbox for developing and testing UI components in isolation

woodpecker

Woodpecker is a simple yet powerful CI/CD engine with great extensibility.

quart

An async Python micro framework for building web applications.

pg_activity

pg_activity is a top like application for PostgreSQL server activity monitoring.

mkdocstrings

:blue_book: Automatic documentation from sources, for MkDocs.

aio-pika

AMQP 0.9 client designed for asyncio and humans.

activitypub

takahe

An ActivityPub/Fediverse server

hypercorn

Hypercorn is an ASGI and WSGI Server based on Hyper libraries and inspired by Gunicorn.

aerich

A database migrations tool for TortoiseORM, ready to production.

pyld

JSON-LD processor written in Python

aiodns

Simple DNS resolver for asyncio

Propan

Propan is a powerful and easy-to-use Python framework for building event-driven applications that interact with any MQ Broker

did-core

W3C Decentralized Identifier Specification v1.0

fedbox

Reference implementation of an ActivityPub service using go-ap packages (mirror repository)

bovine

Modular ActivityPub/Fediverse Server

quart-cors

Quart-CORS is an extension for Quart to enable and control Cross Origin Resource Sharing, CORS.

multiformats

Python implementation of multiformat protocols.

did-method-key

DID (Decentralized Identifier) did:key method for embedding keys in DID urls

httpsig-org

Webpage and service source for httpsig.org

vc-di-eddsa

EdDSA Data Integrity Cryptosuites Specification

fediverse-jsonschema

JSON Schema definitions for Fediverse protocols and specifications.

vodozemac-bindings

Language bindings for vodozemac

activitypub-mincore

An exploration into an ActivityPub Minimal Core.

haskell-ocap

Haskell libraries for working with object capabilities.

quart-redis

A easy way of setting up a redis connection in quart.

httpsigpy

HTTP Message Signatures for Python 3

EdDSA-Test-Vectors

antisemitism-detector

This is the repository to my bachelor's thesis. The aim was to classify antisemitic comments. A custom dataset was created with the 4chan API and labeled. Different DistilBERT models for sequence-classification were trained and compared. A case study was then conducted.