csvq
jc
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csvq
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Fx – Terminal JSON Viewer
sure can do, if you already use that shell [1], but personally I like specific tools for specific jobs such as jq [2], fx, csvq [3] etc, there's value in decoupling shells from utils (modularity, speed, innovation etc).
[1] I don't but tempted to try, like its data-types concept
[2] https://jqlang.github.io/jq/
[3] https://github.com/mithrandie/csvq
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Tool to interact with CSV
csvq
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Can SQL be used without an RDBMS?
There is a way of running SQL-like queries against CSV files.
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Yq is a portable yq: command-line YAML, JSON, XML, CSV and properties processor
Lately I have had to do a lot of flat file analysis and tools along these lines have been a godsend. Will check this out.
My go to lately has been csvq (https://mithrandie.github.io/csvq/). Really nice to be able run complicated selects right over a CSV file with no setup at all.
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Wie fusioniert man CSV tables?
csvq (https://mithrandie.github.io/csvq/)
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Tool to explore big data sets
I usually do this with awk, my largest target files being half a TB in size for a project last year (and far too large to hold entirely in RAM). There are some other utilities like csvq and csvsql both of which let you write SQL-style queries against CSV files, but I'm not sure how they perform on large files. There's a nice list of CSV manipulation tools too if any of those jog your memory.
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sqly - execute SQL against CSV / JSON with shell
Apparently, there were many who thought the same thing; Tools to execute SQL against CSV were trdsql, q, csvq, TextQL. They were highly functional, hoewver, had many options and no input completion. I found it just a little difficult to use.
- One-liner for running queries against CSV files with SQLite
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Most efficient way to query .CSV files for Mac?
Please check out this tool https://github.com/mithrandie/csvq
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Looking for: library to turn SQL (or abstracted) to code & execute against custom backend (slice of structs)
If you are looking to query nondb data with sql statements then you may want to check something like https://github.com/mithrandie/csvq (SQL for csv).
jc
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Xonsh: Python-powered, cross-platform, Unix-gazing shell
https://github.com/kellyjonbrazil/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."
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Gooey: Turn almost any Python command line program into a full GUI application
> I'd love to see programs communicate through a typed JSON/proto format that shed enough details to make this more independent, and get useful shell command structuring/completion or full blown GUIs from simply introspecting the expected input and output types.
You should try PowerShell. It's basically Microsoft's .NET ecosystem molded into an interactive command line. I'm not entirely sure if PoweShell can make full use of the static types that build up its core, but its ability to exchange objects in the command line is almost unmatched.
On Linux you can use `jc` (https://github.com/kellyjonbrazil/jc) combined with `jq` (https://jqlang.github.io/jq/) to glue together command lines.
- jc: Converts the output of popular command-line tools to JSON
- why does the proc directory exist?
- Open source python projecto to contribute to
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jq 1.7 Released
In addition to my previous comment about jq-like tools, I want to share a couple other interesting tools, which I use alongside jq are jo [0] and jc [1].
[0]: https://github.com/jpmens/jo
[1]: https://github.com/kellyjonbrazil/jc
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The Case for Nushell
> I wanted to write some wrappers for the standard commands that automatically did all this via `jq`.
If you're not already aware of it, you may wish to check out `jc`[0] which describes itself as a "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..."
The `jc` documentation[1] & parser[2] for `ls` also demonstrates that reliable & cross-platform parsing of even "basic" commands can be non-trivial.
[0] https://github.com/kellyjonbrazil/jc
[1] https://kellyjonbrazil.github.io/jc/docs/parsers/ls
[2] https://github.com/kellyjonbrazil/jc/blob/4cd721be8595db52b6...
What are some alternatives?
querycsv - QueryCSV enables you to load CSV files and manipulate them using SQL queries then after you finish you can export the new values to a CSV file
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
q - q - Run SQL directly on delimited files and multi-file sqlite databases
jq - Command-line JSON processor
yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor
murex - A smarter shell and scripting environment with advanced features designed for usability, safety and productivity (eg smarter DevOps tooling)
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
jello - CLI tool to filter JSON and JSON Lines data with Python syntax. (Similar to jq)
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
babashka - A Clojure babushka for the grey areas of Bash (native fast-starting Clojure scripting environment) [Moved to: https://github.com/babashka/babashka]
duckdb - DuckDB is an in-process SQL OLAP Database Management System
Octo Pack - Creates Octopus-compatible NuGet packages