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mallochio

Show HN: Pingaroo – a tiny native macOS menu bar app for network stats

https://github.com/mallochio/pingaroo

Hi HN,I built a tiny native menu bar app I'm calling Pingaroo. It separates router latency from internet latency and shows real-time signal quality/noise graphs to help diagnose intermittent lag. Written in 100% Swift/SwiftUI and fully open source.Pingaroo is a recreation of the WhyFi app by James Potter based on screenshots, with a few personal riffs and improvements.Feedback welcome!

( Read More... | 3 comments | 4 points | on HN )
Re:Ask HN: What does your ML pipeline look like? on Tuesday April 23, 2019 @01:25PM (#19730802)
+1 for mentioning this. Took it out for a test run. Really neat stuff.
Re:Ask HN: What does your ML pipeline look like? on Tuesday April 23, 2019 @01:23PM (#19730778)
Could you also give us some details about the software you specifically use in the pipeline, other than kubernetes/docker? Do you use any available (possibly open source)? tools for versioning and monitoring? Or are you building this all up from scratch for your needs?
Re:Ask HN: What does your ML pipeline look like? on Sunday April 21, 2019 @03:07PM (#19713903)
Interesting. Could you maybe expand on the tools that you utilize inside the pipeline for ETL, model creation, annotation and testing?
Re:Ask HN: What does your ML pipeline look like? on Sunday April 21, 2019 @01:35PM (#19713318)
Thanks for the reply. Could you give some more insight into how and what tools you choose for the different sort of tasks (say NLP vs CV vs RL)? Also, how and why are different tools/pipelines better for production and product building?
Re:Ask HN: What does your ML pipeline look like? on Sunday April 21, 2019 @01:27PM (#19713264)
This is great, thanks for the link. Could you expand on how this workflow be different/better than sticking to just something like TFX and tensorflow serving? Is it easier to use or more scalable?
Thanks a bunch for taking the effort to create this, and for making it open source.! The project looks amazing.

Could you maybe also explain what the target audience is? Are there any benefits for using Polyaxon in (solo) research projects on a cluster, or is it tailored towards production-ready environments at corporations?

Can someone tell me how this is different from/improves over pachyderm?
Re:Ask HN: Email on Linux? on Saturday June 09, 2018 @04:12PM (#17274743)
I use Mailspring (https://github.com/Foundry376/Mailspring). Neat features, sleek UI and also pretty fast.