q
lnav
q | lnav | |
---|---|---|
46 | 78 | |
10,130 | 6,792 | |
- | - | |
2.1 | 9.6 | |
about 1 month ago | 5 days ago | |
Python | C++ | |
GNU General Public License v3.0 only | BSD 2-clause "Simplified" 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
-
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
lnav
-
Ask HN: Interesting TUIs (text user interfaces), maybe forgotten ones?
The Logfile Navigator (https://lnav.org) is a log file viewer/merger/tailer for the terminal. It has some advanced UX features, like showing previews of operations and displaying context sensitive help. For example, the preview for filtering out logs by regex is to highlight the lines that will be hidden in red. This can make crafting the right regex a bit easier since the preview updates as you type. lnav also has some simple bar charting abilities, so you can visualize the results of SQL queries made against the log messages.
- Lnav: A log file viewer for the terminal
-
Angle-grinder: Slice and dice logs on the command line
See https://lnav.org for a powerful mini-ETL CLI power tool; it embeds SQLite, supports ~every format, has great UX and easily handles a few million rows at a time.
- FLaNK Stack 26 February 2024
- LNAV – The Logfile Navigator
-
Toolong: Terminal application to view, tail, merge, and search log files
The code base seems like a good reference as a small Python project.
My fav option in this class of apps: https://lnav.org/ It lets you use journalctl with pipes as requested here: https://github.com/Textualize/toolong/issues/4
-
Logdy.dev – web based logs viewer UI for local development environment
For local development, I cannot recommend lnav[1] enough. Discovering this tool was a game changer in my day to day life. Adding comments, filtering in/out, prettify and analyse distribution is hard to live without now.
I don't think a browser tool would fit in my workflow. I need to pipe the output to the tool.
[1] https://lnav.org/
- Textanalysistool.net
- Ask HN: What apps have you created for your own use?
What are some alternatives?
textql - Execute SQL against structured text like CSV or TSV
lightproxy - 💎 Cross platform Web debugging proxy
csvq - SQL-like query language for csv
dive - A tool for exploring each layer in a docker image
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
glow - Render markdown on the CLI, with pizzazz! 💅🏻
InquirerPy - :snake: Python port of Inquirer.js (A collection of common interactive command-line user interfaces)
GoAccess - GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
xsv - A fast CSV command line toolkit written in Rust.
conio-for-linux - Conio.h for linux
ledger - Double-entry accounting system with a command-line reporting interface
nnn - n³ The unorthodox terminal file manager