q
jq
Our great sponsors
| q | jq | |
|---|---|---|
| 46 | 306 | |
| 10,122 | 25,063 | |
| - | - | |
| 2.1 | 0.0 | |
| 8 days ago | 11 months ago | |
| Python | C | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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
-
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
-
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.
-
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.
-
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
-
q VS trdsql - a user suggested alternative
2 projects | 25 Jun 2022
- One-liner for running queries against CSV files with SQLite
jq
-
GNU Parallel, where have you been all my life?
That should recursively list directories, counting only the files within each, and output² jsonl that can be further mangled within the shell². You could just as easily populate an associative array for further work, or $whatever. Unlike bash, zsh has reasonable behaviour around quoting and whitespace too.
¹ https://zsh.sourceforge.io/Doc/Release/User-Contributions.ht...
² https://github.com/jpmens/jo
³ https://github.com/stedolan/jq
- How do i edit reputation?
-
Jj: JSON Stream Editor
What I miss from jq and what is implemented but unreleased is platform independent line delimiters.
jq on Windows produces \r\n terminated lines which can be annoying when used with Cygwin / MSYS2 / WSL. The '--binary' option to not convert line delimiters is one of those pending improvements.
https://github.com/stedolan/jq/commit/0dab2b18d73e561f511801...
-
Building and deploying a web API powered by ChatGPT
If you have jq installed you can use it to make the output look nicer.
-
Search in your Jupyter notebooks from the CLI, fast.
It requires jq for JSON processing and GNU parallel for concurrent searches in the notebooks.
- Check the jq manual!
- mkv vs mp4 metadata
-
Amazon Begs Employees Not to Leak Corporate Secrets to ChatGPT
jq is your friend.
- Memes are all cool and all. But this is your daily remaining that 10000! =
-
How to export/import/externally-edit/whatever WI entries?
The jq command (https://stedolan.github.io/jq/) is useful pulling that information out.
What are some alternatives?
textql - Execute SQL against structured text like CSV or TSV
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
csvq - SQL-like query language for csv
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.
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
gojq - Pure Go implementation of jq
InquirerPy - :snake: Python port of Inquirer.js (A collection of common interactive command-line user interfaces)
json5 - JSON5 — JSON for Humans
xsv - A fast CSV command line toolkit written in Rust.
jp - Validate and transform JSON with Bash
ledger - Double-entry accounting system with a command-line reporting interface
nushell - A new type of shell