cheshire
q
| cheshire | q | |
|---|---|---|
| 2 | 46 | |
| 1,469 | 10,122 | |
| - | - | |
| 5.6 | 2.1 | |
| 29 days ago | 9 days ago | |
| Clojure | Python | |
| MIT License | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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cheshire
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Zq: An Easier (and Faster) Alternative to Jq
For me, transforming JSON on the command line was a pain, another DSL to learn. Now, I can just use Babashka/ Clojure + one or two functions from Cheshire https://github.com/dakrone/cheshire where I need to. If I needed a standalone tool, I would perhaps reach for https://github.com/borkdude/jet by the same author, Michiel Borkent, as Babashka or use jq that everybody else would find more familiar.
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A Practical Introduction to jq (and more)
[2]: https://github.com/dakrone/cheshire
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
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]
textql - Execute SQL against structured text like CSV or TSV
zed - A novel data lake based on super-structured data
csvq - SQL-like query language for csv
brackit - Query processor with proven optimizations, ready to use for your JSON store to query semi-structured data with JSONiq. Can also be used as an ad-hoc in-memory query processor.
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
grop - helper script for the `gron | grep | gron -u` workflow
InquirerPy - :snake: Python port of Inquirer.js (A collection of common interactive command-line user interfaces)
jid - json incremental digger
xsv - A fast CSV command line toolkit written in Rust.
yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor
ledger - Double-entry accounting system with a command-line reporting interface