csvq | lnav | |
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14 | 78 | |
1,450 | 6,749 | |
- | - | |
2.7 | 9.6 | |
5 months ago | about 8 hours ago | |
Go | C++ | |
MIT License | 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.
csvq
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Fx – Terminal JSON Viewer
sure can do, if you already use that shell [1], but personally I like specific tools for specific jobs such as jq [2], fx, csvq [3] etc, there's value in decoupling shells from utils (modularity, speed, innovation etc).
[1] I don't but tempted to try, like its data-types concept
[2] https://jqlang.github.io/jq/
[3] https://github.com/mithrandie/csvq
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Tool to interact with CSV
csvq
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Can SQL be used without an RDBMS?
There is a way of running SQL-like queries against CSV files.
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Yq is a portable yq: command-line YAML, JSON, XML, CSV and properties processor
Lately I have had to do a lot of flat file analysis and tools along these lines have been a godsend. Will check this out.
My go to lately has been csvq (https://mithrandie.github.io/csvq/). Really nice to be able run complicated selects right over a CSV file with no setup at all.
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Wie fusioniert man CSV tables?
csvq (https://mithrandie.github.io/csvq/)
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Tool to explore big data sets
I usually do this with awk, my largest target files being half a TB in size for a project last year (and far too large to hold entirely in RAM). There are some other utilities like csvq and csvsql both of which let you write SQL-style queries against CSV files, but I'm not sure how they perform on large files. There's a nice list of CSV manipulation tools too if any of those jog your memory.
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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.
- One-liner for running queries against CSV files with SQLite
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Most efficient way to query .CSV files for Mac?
Please check out this tool https://github.com/mithrandie/csvq
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Looking for: library to turn SQL (or abstracted) to code & execute against custom backend (slice of structs)
If you are looking to query nondb data with sql statements then you may want to check something like https://github.com/mithrandie/csvq (SQL for csv).
lnav
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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
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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
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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
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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?
querycsv - QueryCSV enables you to load CSV files and manipulate them using SQL queries then after you finish you can export the new values to a CSV file
lightproxy - 💎 Cross platform Web debugging proxy
q - q - Run SQL directly on delimited files and multi-file sqlite databases
dive - A tool for exploring each layer in a docker image
yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor
glow - Render markdown on the CLI, with pizzazz! 💅🏻
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
GoAccess - GoAccess is a real-time web log analyzer and interactive viewer that runs in a terminal in *nix systems or through your browser.
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
conio-for-linux - Conio.h for linux
duckdb - DuckDB is an in-process SQL OLAP Database Management System
nnn - n³ The unorthodox terminal file manager