awesome-cli-apps
csvq
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awesome-cli-apps | csvq | |
---|---|---|
26 | 14 | |
13,506 | 1,443 | |
- | - | |
6.0 | 2.7 | |
3 days ago | 3 months ago | |
Shell | Go | |
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
awesome-cli-apps
- Terminal Trove – A collection of CLIs, TUIs and all things in the terminal
- Should I switch from Ubuntu to Arch for improved Linux knowledge, security, and a lighter system?
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Converting old Lenovo R60 era Laptop into terminal/text mode only linux utility machine
It is absolutely possible. Use Lynx for web browsing, use TMUX for split screen, use BC for calculator, use KHAL for calendar and of course use RTV for Reddit. :-) Here is a great list of CLI apps: https://github.com/agarrharr/awesome-cli-apps Here are some of my favorites though: - https://github.com/GothenburgBitFactory/timewarrior - https://github.com/IonicaBizau/idea - https://github.com/jeffkowalski/geeknote - https://github.com/insanum/sncli - https://github.com/visit1985/mdp - https://github.com/astefanutti/decktape - https://github.com/insanum/gcalcli - https://github.com/pimutils/khal - https://dianne.skoll.ca/projects/remind/ - https://github.com/zquestz/s - https://github.com/yudai/gotty - https://github.com/axiros/terminal_markdown_viewer - https://github.com/chubin/wttr.in - https://github.com/schachmat/wego - https://github.com/tldr-pages/tldr
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Resources for development in terminal
also, take a look at this repo https://github.com/agarrharr/awesome-cli-apps
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Other resources for development in terminal?
Also, searching for github lists might give you something to check out, for example: https://github.com/agarrharr/awesome-cli-apps
- I fell in love with the terminal. Now I wanna know how to migrate and start using it regularly. How do I become proficient in the terminal
- Tips and Tools for Text Mode Lovers
- How to get into the whole WM stuff easier?
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What can a beginner do with Linux Mint?
These sites may give you some insights: https://github.com/agarrharr/awesome-cli-apps https://github.com/luong-komorebi/Awesome-Linux-Software
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Relative Newbie to Linux Command Line
fzf, a multi-purpose fuzzy finder, and clifm file manager. You might also be interested in this repo.
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
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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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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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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).
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An Introduction to JQ
I just found https://github.com/mithrandie/csvq which is SQL for CSV files, which I thought was pretty cool.
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
q - q - Run SQL directly on delimited files and multi-file sqlite databases
yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
grub-btrfs - Include btrfs snapshots at boot options. (Grub menu)
duckdb - DuckDB is an in-process SQL OLAP Database Management System
gsheet - gsheet is a CLI tool (and Golang package) for piping csv data to and from Google Sheets
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
web - ALG Website Source Code
awesome-mac -  Now we have become very big, Different from the original idea. Collect premium software in various categories.
dasel - Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.