DARE: Delivering Agile Research Excellence on European E-Infrastructures

The DARE platform provides all the necessary tools to research developers to develop and execute their experiments written using either the fine-grained workflow specification library dispel4py or CWL. Moreover, the DARE platform offers data provenance to the users so as to track and analyze their data. The DARE platform is cloud-ready, integrating containerized software applications running on top of Kubernetes. Kubernetes enables automated deployment, scaling and management of containerized applications. Research developers can interact with the DARE platform by making use of its RESTful API. DARE API is a composition of RESTful Web APIs exposed by the containerized versions of the underlying DARE platform components. For more information about the DARE Project visit our site at http://project-dare.eu/.

Get Started

Features

Cloud Enabled Platform

DARE platform is a cloud-ready platform using Kubernetes and dockerized environments

On-Demand Execution Environments

MPI clusters are deployed On-demand on the cloud

Monitoring Tools

Monitoring tools for job execution

Helper Functions

Client-side library to help you interact with the platform. You can find the documentation here

Resources Management

Control your cloud resources using on-demand execution environments

Installation Instructions

Easy local installation following the given instructions

CWL / dispel4py Workflows-as-a-Service

The DARE platform provides all the necessary tools to research developers to develop their scientific applications. Currently, we support two workflow languages, i.e. CWL and dispel4py

Check it out

Trace provenance logs

DARE comes with an integrating provenance service. During the workflow execution, provenance logs are saved and can be visualized afterwards using the sprov-viewer service.

Check it out

DARE API

Research developers can interact with the DARE platform by making use of its RESTful API. DARE API is a composition of RESTful Web APIs exposed by the containerized versions of the underlying DARE platform components.

Check it out

Workflow Registries

Research developers can register their workflows in the respective registries (dispel4py and CWL) and then refer to them by name. This functionality enables code reusability and sharing!

Check it out

Ready to get started?

Contact our team to request a demo!