Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets,...

General purpose GPU compute framework for cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and...

Builds Web APIs using SPARQL queries stored in GitHub repositories

This study is part of the joint PIONEER - EHDEN - OHDSI studyathon in March 2021, and aims to advance understanding of clinical management and outcomes of...

Python scripts for tweet retrieval and machine learning in the eScience project Automated Analysis of Online Behaviour on Social Media

A data layer quality monitoring and validation module, this solution is part of the Raft Suite ecosystem.

The Tribal Build, Integrate, and Test System (TriBITS) is a framework designed to handle large software development projects involving multiple independent...

K8S Tool to proxy-pass services from kubernetes cluster if you don't have a vpn to this cluster

Fiware-Enabled Autonomous Transport System (FEATS) is a project whose scope is automated material transport within a production facility using an Autonomous...

The CoFFEE component of the FEATS project.

The FI-BREW component of the FEATS project.

Go implementation of the OPAQUE asymmetric password-authenticated key exchange protocol.

Cross-platform, C implementation of the IETF QUIC protocol.

CV generator front end

Neuro-Intensive-Care DataScience Research Project Template

A connector in charge of persisting context data sources into other third-party databases and storage systems, creating a historical view of the context

Mayactl is a plugin for kubectl. It allows users to fetch details of their OpenEBS storage components.

IOP (Inter Operability Platform)

comses.net wagtail site

Java SDK for Serverless Workflow Project

Platform AbstRaction for SECurity service

Secure boot for 32-bit Microcontrollers!

A CLI tool and library for communicating with Thoth

✨ Golang Client Library for Atlassian Cloud.

Machine Learning Exchange (MLX) is a Data and AI Assets Catalog and Execution Engine powered by Kubeflow Pipelines on Tekton

MLX Katalog is a project to hold the default content samples to bootstrap Machine Learning Exchange.

Submariner enables direct networking between Pods and Services in different Kubernetes clusters, either on-premises or in the cloud.