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nvim --version:NVIM v0.5.0-dev+1339-g5d9c56012
Build type: RelWithDebInfo
LuaJIT 2.1.0-beta3
Compilation: C:/Program Files (x86)/Microsoft Visual Studio/2017/Enterprise/VC/T
ools/MSVC/14.16.27023/bin/Hostx86/x64/cl.exe /DWIN32 /D_WINDOWS /W3 /MD /Zi /O2
/Ob1 /DNDEBUG /W3 -D_CRT_SECURE_NO_WARNINGS -D_CRT_NONSTDC
Open source projects built in or receiving significant contributions from India :india:
Automatically close stale Issues and Pull Requests that tend to accumulate during a project.
After a period of inactivity, a label will be applied to mark an issue as stale, and optionally post a comment to notify contributors that the Issue or Pull Request will be closed.
If the Issue or Pull Request is updated, or anyone comments, then the stale label is removed.
If no more activity occurs, the Issue or Pull Request will be automatically closed with an optional comment.
Here is a list of links that return 404
https://apility.io/apidocs/
http://developer.linkedin.com/docs/rest-api
https://sentim-api.herokuapp.com/ works
https://quarantine.country/coronavirus/api/ works
https://blog.mugenmonkey.com/2017/09/10/ds3-api.html
https://developer.walmartlabs.com/docs
https://taylor.rest
Please feel free to add more broken links when you find t
We need either an automated process or manual guideline for releasing new versions of Scorecard. Basically, when users run the below command, we need to be sure to a high degree of confidence that this is well tested code that users are downloading and running:
GO111MODULE=on go get github.com/ossf/scorecard
GITHUB_AUTH_TOKEN="xyz" scorecard --repo=<repo-name> --show-details
Language informations
A Dependently typed programming language with complex grammar parsing, Treesitter-agda is dead though
The Storybook API has changed quite a lot since Solid's Storybook docs were written in 2019. It would be really helpful (and I think go a loooong way toward helping drive adoption, long-term) if Solid could:
Issue Label Bot automatically labels issues as either a feature request, bug or question, using machine learning. You can alias these labels so that the labels are personalized for your repo (for example if you prefer enhancement vs. feature_request).
Instructions on how to alias the labels can be viewed on the app's website.
This app only works on public repositories.