Anyone else using git submodules to manage your plugins?

• Puts Debuggerer

  922 87 0.0 Ruby

  Ruby library for improved puts debugging, automatically displaying bonus useful information such as source line number and source code.

  function! utils#InstallPlugins() abort let dir = substitute(&packpath, ",.*", "", "")."/pack/plugins/start/" silent! call mkdir(dir, 'p') call system("git init ".dir) for plugin in g:plugins.repos echo "repo: ".plugin call system("git -C ".dir." submodule add --depth=1 https://github.com/".plugin) endfor call system("git -C ".dir." submodule update --recursive --remote") for f in g:plugins.files echo "file: ".f[0] call system("curl -o ".substitute(&rtp, ",.*", "", "")."/".f[0]." -L ".f[1]) endfor silent! helptags ALL echo "Plugins installed" endfunction

• .vim

  0 1 0.0 Vim Script

  My vim settings and modules all in one place (by mikelane)

  I do this same thing. And I put it up on GitHub: https://github.com/mikelane/.vim. So any time I need to get vim set up on a new computer, I just clone it.

• Mergify

  blog.mergify.com

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• vim-plug

  29 32,056 0.0 Vim Script

  :hibiscus: Minimalist Vim Plugin Manager

  I used to manage plugins this way, but it got difficult to keep up with. I switched to Plug and never looked back. You get the same results without the hassle, and you can manage plugins without leaving vim.

• git-submanage

  0 6 10.0 Python

  Simple scripts to manage git submodules

  I do and I use git-submanage to add some git commands for working with submodules. Specifically git sub-commit-changelog --verbose path/to/plugin to commit the plugin update with a changelog in the commit message (and aborts if there are no changes or it went backwards).

• dotbot

  3 6,424 7.7 Python

  A tool that bootstraps your dotfiles ⚡️

  I use dotbot to manage my dotfiles, which is good for anything I need to install prior to installing plugins (I use vim-plug).

• InfluxDB

  www.influxdata.com

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  Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.

  

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