robusta VS star-history

To put one more option out there, we use Hikaru (https://pypi.org/project/hikaru/) in Robusta.dev (https://github.com/robusta-dev/robusta) and have been pretty happy with it. Example code below:

  with Pod().read(name='thename', namespace='the-namespace') as p:

Open Source alternative based on Prometheus

I'm from the Robusta team (https://github.com/robusta-dev/robusta) which bursts upwards towards the end. Happy to answer any questions!

The guys at Robusta, added it into thier slack so when alerts pop of issues in k8s, chatgpt can be used to investigate and offer options to check and potentially solutions. Next phase is probably to let it also apply it :)

It's no replacement for learning how things work, but we're trying to automate common troubleshooting cases with Robusta. https://github.com/robusta-dev/robusta

https://docs.robusta.dev/master/ https://github.com/robusta-dev/robusta

This is the sort of thing we built Robusta for: https://github.com/robusta-dev/robusta

That’s a great project you pulled off. From the time I starred it (10-12h ago I think), and upon re-checking this post, you gained 500+ stars lol.

Visualized in a chart with star-history: https://star-history.com/#nilsherzig/LLocalSearch

You can actively see a fresh "hype curve" in the transformer-debugger repo that was posted a couple days ago (https://github.com/openai/transformer-debugger) (star history https://star-history.com/#openai/transformer-debugger&Date).

Regardless of the repo's stars or how valuable it really is, at the time I saw it posted to HN, it had 1.6k stars/16 hours. What channel are people listening to to star it so quickly. I'm not implying any nefariousness, mind you, I'm only wondering where all the stargazers were referred from so fast and in such volume.

I’ve been releasing open-source projects for years now, and I’ve always wanted to see how fast my Github repo is growing compared to other successful repositories on https://star-history.com/. The problem is that on Star History, I’m unable to zoom into the graph, so a new repo that has 1,000 stars cannot be compared with a big repo that has 50,000 because you can’t see how the bigger repo does in its beginning. So, I asked GPT Pilot to build this functionality. It scrapes Github repos for stargazers, saves them into the database, plots them on a graph, and enables the graph to be zoomed in and out.

i'm a one man shop in montana, competing w/ Google, Vercel & Facebook for dev mindshare

if i did what everyone else does you never would have heard of htmx

https://star-history.com/#bigskysoftware/htmx&Date

also: https://star-history.com/#bigskysoftware/htmx&facebook/react...

Similar to http://star-history.com for GitHub repos, http://like-history.ai is a tool to help generate the like history of projects on HuggingFace.co

More details: https://twitter.com/Tim_Qian/status/1730245069259575485

yeah, he was the one that really started the madness:

https://star-history.com/#bigskysoftware/htmx&bigskysoftware...

his video posted on july 7th

Github star history graph of the batch:

https://star-history.com/#trpc/trpc&termux/termux-app&respon...