q
fx
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| q | fx | |
|---|---|---|
| 46 | 50 | |
| 10,122 | 18,509 | |
| - | - | |
| 2.1 | 9.1 | |
| 8 days ago | 2 days ago | |
| Python | Go | |
| GNU General Public License v3.0 only | 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.
q
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I wrote this iCalendar (.ics) command-line utility to turn common calendar exports into more broadly compatible CSV files.
CSV utilities (still haven't pick a favorite one...): https://github.com/harelba/q https://github.com/BurntSushi/xsv https://github.com/wireservice/csvkit https://github.com/johnkerl/miller
- Segítség kérés Excel automatizáláshoz
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Show HN: ClickHouse-local – a small tool for serverless data analytics
I think they're talking about https://github.com/harelba/q, which is not very fast.
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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.
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Q – Run SQL Directly on CSV or TSV Files
Hi, author of q here.
Regarding the error you got, q currently does not autodetect headers, so you'd need to add -H as a flag in order to use the "country" column name. You're absolutely correct on failing-fast here - It's a bug which i'll fix.
In general regarding speed - q supports automatic caching of the CSV files (through the "-C readwrite" flag). Once it's activated, it will write the data into another file (with a .qsql extension), and will use it automatically in further queries in order to speed things considerably.
Effectively, the .qsql files are regular sqlite3 files (with some metadata), and q can be used to query them directly (or any regular sqlite3 file), including the ability to seamlessly join between multiple sqlite3 files.
http://harelba.github.io/q/#auto-caching-examples
- PostgreSQL alternative for Large amounts of data
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q VS trdsql - a user suggested alternative
2 projects | 25 Jun 2022
- One-liner for running queries against CSV files with SQLite
fx
- Bash/Zsh autocomplete for JSON fields
- Fx 32.0, now with YAML support too
- Fx JSON viewer now supports YAML
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Jaq – A jq clone focused on correctness, speed, and simplicity
There's also this awesome tool to make JSON interactively navigable in the terminal:
https://fx.wtf
- Fx 31.0.0 Release
- FLaNK Stack Weekly for 30 Oct 2023
- jq 1.7
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Modern Linux Tools vs. Unix Classics: Which Would I Choose?
Using awk/sed to parse json seems to be using the wrong tool for the job.
As an alternative to jq with easier to remember syntax, see https://fx.wtf/
Recent discussion: https://news.ycombinator.com/item?id=37567009
- Fx – Terminal JSON Viewer
- fx – terminal JSON viewer
What are some alternatives?
textql - Execute SQL against structured text like CSV or TSV
jless - jless is a command-line JSON viewer designed for reading, exploring, and searching through JSON data.
csvq - SQL-like query language for csv
jiq - jid on jq - interactive JSON query tool using jq expressions
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
jid - json incremental digger
InquirerPy - :snake: Python port of Inquirer.js (A collection of common interactive command-line user interfaces)
rq - Record Query - A tool for doing record analysis and transformation
xsv - A fast CSV command line toolkit written in Rust.
kubectl-jq - Kubectl plugin that works like "kubectl get" but runs everything through a JQ program you provide
ledger - Double-entry accounting system with a command-line reporting interface
ngs - Next Generation Shell (NGS)