The top open-source rookies, projects in 2018

The Open Network Automation Platform (ONAP), a platform for real-time, policy-driven orchestration and automation of physical and virtual network functions, is supported by carrier members whose subscribers represent 60 percent of the worldwide market.

ONAP has quickly risen to be the most prominent open source VNF orchestration platform and a critical contributor to the success of 5G cellular networks, according to Synopsys.

RChain is an open-source project which seeks to establish the possibility of building a scalable, secure, and sustainable blockchain with the overall aim of creating a decentralized, immutable, and global compute infrastructure.

Monica is a personal relationship management system that combines the "flexibility of a classic Rolodex with the dynamic versatility of modern social networks." The project has turned to the open source community to evolve a service described as a "personal CRM" which helps organize your personal life, meetings, and tasks.

Apollo Auto, developed by Baidu, is an open-source autonomous driving platform with a flexible architecture. Apollo enables Tier 1 providers, OEMs, and startups to build their own autonomous vehicles without the burden of "reinventing the wheel," which has led to the nomination as one of today's top open-source projects.

Haven, a project launched by The Guardian Project and the Freedom of the Press Foundation, is a scheme focused on creating a personal physical security application able to transmit "situational awareness" of the environment surrounding a mobile device.

The open-source project uses secure communications technologies and hardware already present in Android-based endpoint devices.

Prettier is a code formatter with the end goal of demolishing conflict among development groups and resolving IDE formatting problems through the standardization of code regardless of original construction and intent.

Common Voice, launched in 2017 by Mozilla's Open Innovation team, aims to establish the world's largest open collection of human voice data. The open-source project hopes to one day provide startups, innovators, and research universities with reliable datasets in order to train AI and machine learning algorithms for speech technologies.