hi Nick, Thanks for your idea, I will try to get those adoption metrics from the community. Stars/Forks/PRs from github might be good indicators.
In the data quality area, we do see some competitors coming up, most of them are designed for cloud environments. To compete with them, we need to make apache griffin generic enough for different computing engines/clouds, also should be ready out of the box. Thanks, William On Sat, Jan 20, 2024 at 9:18 AM Nick Sokolov <chemika...@gmail.com> wrote: > Do we roughly know current adoption numbers / artifact downloads, and > understand what would improve it? I feel community activity (both > conversations and contributions) are in strong relationship with usefulness > of the project, and if there are any adoption blockers we should identify > those and fix to avoid stagnation. Did anything change with competition in > OSS and closed source space in data quality area? > > I don't work in data space for a few years now, but it is sad to see > engagement going down. > > On Fri, Jan 19, 2024, 4:54 PM William Guo <gu...@apache.org> wrote: > > > Hello everyone, > > > > As we're aware, community activity has been on the lower side lately. > > However, in the ever-evolving landscape of AI, ensuring high-quality data > > is crucial. We aim to enhance Griffin to be versatile and well-suited for > > the demands of this emerging AI era. > > > > I'm reaching out for your thoughts and ideas on data quality features, > also > > how to improve community activities. How can we further refine Griffin to > > meet the requirements of robust and high-quality data in the realm of AI? > > Your insights are highly valued. > > > > Thank you, William > > >
