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DPG Registry

All DPGs have been reviewed to ensure they meet the requirements of the DPG Standard. DPG status is valid for a period of one year from its approval, after which they must be reassessed to ensure they remain compliant.

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Software DPGs

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Showing 205 of 256 DPGs|
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VIPS
VIPS

NIBIO

Software

Open platform for automatic pest prediction in agriculture created by NIBIO, Norway


SDGs

SDG2: Zero HungerSDG13: Climate ActionSDG15: Life on Land

Activity trend

Vxnaid
Vxnaid

Johnson & Johnson Global Public Health

Software

Vxnaid is a digital platform that supports correct vaccine administration & efficient vaccination campaigns. Enable broad adoption of Vxnaid especially in RLS countries to ensure correct administration of vaccines, identification of vaccinees, follow-up/recall of vaccinated persons and understanding of vaccination campaign effectiveness.


SDGs

SDG3: Good Health and Well-Being

Activity trend

WSO2 Identity Server
WSO2 Identity Server

WSO2 LLC

Software

WSO2 Identity Server is an open-source Identity and Access Management (IAM) solution supporting secure authentication, identity federation, and user management via open standards such as OAuth2, OpenID Connect, SAML, SCIM 2.0, and FIDO2.


SDGs

SDG9: Industry¸ Innovation and InfrastructureSDG16: Peace¸ Justice and Strong InstitutionsSDG17: Partnerships for the Goals

Activity trend

X-Road®
X-Road®

Nordic Institute for Interoperability Solutions (NIIS)

Software

X-Road® is open-source software that provides unified and secure data exchange between organisations in a collaborative ecosystem.


SDGs

SDG1: End Poverty in all its forms everywhereSDG3: Good Health and Well-BeingSDG7: Affordable and Clean EnergySDG8: Decent Work and Economic GrowthSDG9: Industry¸ Innovation and InfrastructureSDG11: Sustainable Cities and CommunitiesSDG13: Climate ActionSDG16: Peace¸ Justice and Strong Institutions

Activity trend

Zamba
Zamba

DrivenData

Software

AI tools for wildlife monitoring with camera trap videos. Zamba is a command-line tool built in Python to automatically identify the species seen in camera trap videos from sites in central Africa. The tool makes predictions for 24 common species in these videos.


SDGs

SDG15: Life on Land

Activity trend

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