To stay on the cutting edge, you know your organization needs the agility afforded by open source software and community collaboration. And that’s what you’ll find here. Hewlett-Packard Enterprise (HPE) has always had a culture of open collaboration and giving back to the community. It’s in our DNA. Open source collaboration is the whole idea behind the HPE Developer Community, offering a place where HPE and external engineers can come together to accelerate innovation.

Our open source projects today focus on common problems customers are trying to solve; making hybrid IT simple, enabling cloud economics, programming data analyses on laptops through supercomputers, and securing digital infrastructure. But they go beyond providing innovative enterprise solutions to tackling global issues, such as ensuring the right people can access the right data wherever it’s needed to combat disease and hunger. We do so by contributing to projects focused on cloud-native application development, data fabric, and high performance computing (HPC), investing in future growth areas such as AI, machine learning, data science, and edge computing.

Explore community-powered innovation here as we highlight a few of the latest open source contributions from HPE. We encourage you to join these community efforts, contributing where and when you can.

Addressing Key Concerns

I have data everywhere, including supplier and customer sites. I need to take advantage of it for AI and machine learning applications. What open source technologies can help me do this?

• View this video to learn how HPE Dataspaces connects data consumers with data producers offering a clean and trusted exchange of data

How can open, interconnected data access solve global issues?

• Explore how HPE’s research partnership with CGIAR System Organization, The AgStack Foundation and Digital Green enables farmers to find the data they need to advance their agricultural goals in this article

Where can I find an open source tool that helps me build and train ML models faster and easier?

• Read Determined AI is Joining Hewlett Packard Enterprise

• Learn more about Determined AI

My machine-learning application requires the power of parallel processing. But access to HPC machines is limited. Is there a way I can prototype my app on less expensive hardware and then port it over to a cluster or supercomputer?

• Explore Chapel, an open source programming language that aims to solve the “prototype then port” issue, developed by Cray, an HPE company

• Learn more about Chapel

• Join the Chapel community

How do I secure an application in heterogeneous, distributed environments?

• Learn how the CNCF-incubated project, SPIFFE/SPIRE, can help in the eBook Solving the Bottom Turtle

• Explore some of the top capabilities of SPIFFE/SPIRE

• Join the SPIFFE/SPIRE community

How can I deploy my stateful application on my modern, open Kubernetes platform?

• Learn about and contribute to the HPE-sponsored open source project KubeDirector

• Deploy cloud-native and non-cloud-native apps running on bare-metal or virtualized infrastructure, on-premises, on any cloud and at the edge with KubeDirector-powered HPE Ezmeral Runtime Enterprise

How can I manage my systems using open source standards?

• Simply and securely manage your data center hardware with the Redfish API ecosystem

• Learn why the industry is transitioning to Redfish

Where can I find open source design system and development framework tools to create responsive, accessible mobile-first apps?

• Build awesome apps with the HPE-sponsored open source project, Grommet

Skill Up

Documentation