json_to_paths
vim-jqplay
| json_to_paths | vim-jqplay | |
|---|---|---|
| 2 | 2 | |
| 66 | 5 | |
| - | - | |
| 0.0 | 10.0 | |
| about 3 years ago | over 1 year ago | |
| JSONiq | Vim Script | |
| - | - |
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json_to_paths
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Interactive Examples for Learning Jq
as a list of jq arguments.
You can use it to make queries or keep track of a documents structure.
https://github.com/TomConlin/json_to_paths
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A Practical Introduction to jq (and more)
b) may care when the structure (but not the values) change.
so a jq utility[] that spits out all the jq paths for a json files helps in both cases.
[] https://github.com/TomConlin/json_to_paths
vim-jqplay
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Interactive Examples for Learning Jq
Nice!
Let me piggyback to mention the (neo)vim plugin I use for tightening the loop... https://github.com/phelipetls/vim-jqplay
It's great for building large complex queries that will eventually live in scripts, but your zsh plugin seems to hit a real sweet spot of fast feedback for ad-hoc queries too! Huge props!
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Introducing jsonpath.nvim
As I got too much into jq by attempting to port a Vim-only jq playground plugin to be compatible with Neovim as well, I wished for something that would quickly tell me how to access the value under the cursor in a JSON file. I knew treesitter was good at this stuff, so I studied just enough to implement this.
What are some alternatives?
babashka - A Clojure babushka for the grey areas of Bash (native fast-starting Clojure scripting environment) [Moved to: https://github.com/babashka/babashka]
blamer.nvim - A git blame plugin for neovim inspired by VS Code's GitLens plugin
jello - CLI tool to filter JSON and JSON Lines data with Python syntax. (Similar to jq)
nvim-lspconfig - Quickstart configs for Nvim LSP
PowerShell - PowerShell for every system!
aioli - Framework for building fast genomics web tools with WebAssembly and WebWorkers
grop - helper script for the `gron | grep | gron -u` workflow
jc - CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.