q
InquirerPy
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| q | InquirerPy | |
|---|---|---|
| 46 | 6 | |
| 10,122 | 327 | |
| - | - | |
| 2.1 | 0.0 | |
| 4 days ago | about 2 months ago | |
| Python | Python | |
| 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
InquirerPy
- My first big project, Password Database, with Encryption tools, Password, Pin, and Encryption key generation. Verison 1.1
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InquirerPy: Python port of Inquirer.js (A collection of common interactive command-line user interfaces) - Reimplementation of PyInquirer
Alternate projects such as questionary and python-inquirer are addressed here.
Alternate projects such as questionary and python-inquirer are addressed here.
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InquirerPy: Another Python Port of Inquirer.js
- Pagination options don't work
InquirerPy focus primarily on resolving the above issues and also introducing more customization options and new prompts.
Alternate projects such as questionary and python-inquirer are addressed [here](https://github.com/kazhala/InquirerPy#similar-projects).
Github: https://github.com/kazhala/InquirerPy
What are some alternatives?
textql - Execute SQL against structured text like CSV or TSV
PyInquirer - A Python module for common interactive command line user interfaces
csvq - SQL-like query language for csv
pyp - Easily run Python at the shell! Magical, but never mysterious.
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
elodie - An EXIF-based photo assistant, organizer and workflow automation tool.
xsv - A fast CSV command line toolkit written in Rust.
doitlive - Because sometimes you need to do it live
ledger - Double-entry accounting system with a command-line reporting interface
pipupgrade - 🗽 Like yarn outdated/upgrade, but for pip. Upgrade all your pip packages and automate your Python Dependency Management.
simdjson - Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
xonsh - :shell: Python-powered, cross-platform, Unix-gazing shell.