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Thanks for sharing, could you please comment on the performance aspect vis-a-vis json reader/writer provided by pydantic

Though not Github, worth mentioning Huggingface, which is also using git, but managing large files with their(?) xet protocol. https://huggingface.co/docs/hub/en/xet/index

GitHub Actions are amazing ! For a public repository who will give you a free machine to run for 6 hours at a stretch for a job !!


This thread is largely commentary on the technical aspects of GitHub Actions.

The fact the business gives away free compute is irrelevant and more a discussion of their marketing budget.


Will OSS (public) repositories also have to pay if they use self-hosted GitHub runners ? If yes, that seems a bit counterintuitive, given that Github hosted runners are free for public repos.

Why would a public repo use a self-hosted runner ? because the self-hosted runner storage available is only 14GB !!


Github, thanks for making this service available free for public repos, it's a big boon. Currently the runner has only 14GB of disk space, if that can be made to 50 GB, that would be amazing !


Wish GitHub markdown would support Vega-lite to create charts that would be a great combination.

Here is a brief discussion on the same https://github.com/orgs/community/discussions/16963


I don't see that ever happening in a pleasant way. Lots of little technical reasons why not.

However, we will likely have Vega support sometime soon in Scroll. Someone just needs to volunteer and add it (or someone has to fund us to add that).

We now have basics of ObservablePlot (https://observablehq.com/plot/) support (https://scroll.pub/blog/tables.html)


> Lots of little technical reasons why not.

What are some?


Does it have Gantt chart ?


Yes but we still develops


Windows service for tracking how much time I spend in each app.


Using parquet in python requires installing pyarrow and numpy, whereas CSV comes with stdlib.

Also, the csv has a very pythonic interface vis-a-vis parquet, in most cases if I can fit the file in memory I would go with CSV.


Safari finally has the Chrome feature that I miss the most, ability to create separate app like experience for a particular website.


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