gping VS graphic-walker

gping is a souped-up version of the traditional ping utility that graphs network latency for multiple hosts as well as execution time for commands, with the option of custom colors. Our thanks for the suggestion go to fudgecakekistan.

This sounds similar to what I had in our neighborhood. Turned out there was damage on the wire up on the pole, and it started disconnecting at the break point as the wire heated up during the day and would reconnect normal as it cooled in the evening until the next day as the sun came up around 8-10am. I was able to monitor and graph the lost packets and within the terminal with https://github.com/orf/gping during the worst time period. You may go in to test at the wrong time of day and find no damaged wire but try going during the heat up time of day. Ask customers when the worst time is. I’m not a technician but a customer who happens to do IT work. I finally got a good lead tech from the cable provider to check the cable at just the right time of day and they found the break in the cable. There also was a lot of noise in the signal in general at certain frequencies. Our neighborhood now has perfect internet :D

using gping (https://github.com/orf/gping) to wifi router:

Latency Tool: gping

https://github.com/orf/gping - but probably not for 100 IPs..

[2] https://github.com/Kanaries/graphic-walker/issues/330

GWalkR is an open-source R library that allows you to turn your data frame into a tableau style user interface for data exploration and visualization. It also allows you to analysis your data with natural language questions.

GWalkR is the R binding of graphic-walker: https://github.com/Kanaries/graphic-walker

Big fan of D3.js and now there is Observable Plot! I am building several data visualization software for exploratory data analysis:

RATH, auto exploratory data analysis: https://github.com/Kanaries/Rath

GraphicWalker, embeddable data exploration component: https://github.com/Kanaries/graphic-walker

They are using vega-lite for now. But there is a limit of building more fancy and customized visualizations. It seems Plot has a more flexible layer based visualization system that can support larger design space.

Is Plot stable enough now to migrate from vega-lite based system to Plot based? Are there any large milestone or roadmap of Plot in future?

+ Graphic Walker (https://github.com/Kanaries/graphic-walker): A lite embeddable component for visual analysis.

+ PyGWalker (https://github.com/Kanaries/pygwalker): turning your pandas dataframe into a Tableau-style User Interface for visual exploration.

RATH is a collection of interesting ideas that we think the next generation of data analysis software should be, so there might be many features that not well organized to be a united app. Tell me which feature you prefer and which is not. Looking forward for your ideas and advice.

I know you said you *dont* want a tableau like interface, but in case you do this might be a cool open source project to check out: https://github.com/Kanaries/graphic-walker

> it seems like the heavy lifting is done by the web app here: https://github.com/Kanaries/graphic-walker

FWIW, both are made by the same entity, Kanaries.

You may try to use and modify based on the OpenSource Graphic Walker: https://github.com/Kanaries/graphic-walker

Graphic Walker is designed to be easy to embed in other applications as a React component. Check out the code here: https://github.com/Kanaries/graphic-walker