github / innovationgraph Goto Github PK

This is an awesome new dataset, thanks for releasing it. As it's for research purposes I recommend you explicitly state how you want the dataset to be cited in the README (didn't find it but perhaps I missed it)

This is a really cool project!

I was looking at the India figures and they are astonishing. 14M git pushes. 30M repositories. 12M developers. 450k orgs. In the FOSS communities that we're a part of here in India, a conversation that often comes up is the low number of widely used FOSS projects originating from here. But these numbers are hard to reconcile with that observation (anecdotal, of course) and perhaps indicate a different reality altogether.

It would be great if there was a way to get visibility into "popular" projects from geographies. Stars, forks etc. don't of course directly imply quality, usage, or even popularity, but may serve as an indicator. Perhaps there are other data points that serve as indicators.

Thank you

Generally I think it's harder for me to wrap my head around the graph we currently have because it's mixing things that are used for different purposes.

For example, Makefile / Shell / Dockerfile / Batchfile / Powershell all seem to be a pretty different logical grouping than Java / C / C# / typescript / ruby etc. It's hard to really make sense of what seeing the plots side by side means . Have you considered showing labels or groups or something that would allow the viewer of the graph to separate on an axis that shows more interesting views? Like "Imperative programming languages"? "shell" languages? Build scripts?

Mostly I'm interested in being able to see things visualized in for categories that are "apples to apples".

I am looking into the reason that the number of repo declined rapidly in China around Q1 2022. I wonder whether there is a working definition of the repo?

• Would any active repo count as a repo?

• If there is no action on the repo for a given time, would it still count?

• If a repo is archived, would it still count?

Similarly, I wonder whether there is a working definition for organization in the dataset.

While trying to export to PNG, JPEG, PDF or SVG in licenses the website loads quite a while then redirects to the following url:

Can someone else reproduce this or is this only on my machine?

Some are very recognizable either due to ubiquity such as Javascript or because the assigned color naturally goes with the language name, like Ruby or Rust https://github.com/github-linguist/linguist/blob/7ca3799b8b5f1acde1dd7a8dfb7ae849d3dfb4cd/lib/linguist/languages.yml#L6139C11-L6139C18

This would make the chart a little more instantly legible for heavy GitHub users (and perhaps users of other tools, I'm mildly curious now how widely those color associations have spread).

Thanks a lot for this great project! I was wondering whether there is the possibility to provide this dataset also at monthly frequency? I assume that the underlying data is available. Any feedback is greatly appreciated!

Would be great if we could have data for the employers for git pushes.
Assigning the employee to an account may not be trivial, but through the email address or the orgs they belong, it might be feasible.

Would be great to see the top companies contributing to open-source, as well as the top universities (both globally and per region).

Thank you!

P.S.: I'm going to have 250+ students submitting patches to various github projects soon. I would be trilled to see the impact and benchmark it against other universities. They are required to use the university email address in the commits and github account.

          Fixed by @khxu in December https://github.blog/2023-12-07-github-innovation-graph-q2-2023-data-release/

Originally posted by @mlinksva in #11 (comment)

https://innovationgraph.github.com/global-metrics/licenses

I think this should be removed or changed to something more obvious like "Unknown". Because it's capitalized I thought "NOASSERTION" might be something about not asserting some copyrights or something and googling "noassertion license" didn't produce immediately obvious results.

plaase add F# and Ocaml in the diagram/stats

• https://dotnet.microsoft.com/en-us/languages/fsharp
• https://ocaml.org/

I am wondering why Germany and France are individually reported as economies but not part of the EU?

👋

While I am SUPER interested in tracking the popularity of specific framework use, i will say that ASP.NET seems out of place in this graph. For example, we don't list Rails, so I would expect us to also not list ASP.NET.

Thanks!