jello
csvq
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jello
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jq 1.7 Released
Jello let’s you use python syntax with dot notation without the stdin/stdout/json.loads boilerplate.
https://github.com/kellyjonbrazil/jello
- the case for bash
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Simple Apache Log Parser
Yep, you can create a filter in jq to do that. Alternatively, if you prefer Python syntax you could try jello, which works like jq but is really Python under the hood. (I am also the author of jello)
- I'm developing a new command line tool for querying and transforming JSON files , called ~Q (pronounced "unquery"). My design goal is to create a tool that is powerful yet easy to use (aim to be more intuitive for users than existing tools such as jq). Let me know your thoughts and suggestions.
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An introduction to the magic of jq - Understanding the basics of jq with a realistic example
I'm no expert in any of these tools, but here are some yamlpath and jello examples to match:
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Show HN: gq – like jq or zq, but you use Go
Similar in concept to jello[0] which works like jq but uses python syntax.
[0] https://github.com/kellyjonbrazil/jello
- Parsing Complex JSON
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Searching for a value in json with jq
jello:
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Anyone have a resource to filter out information from complex json outputs? In the example, I am trying to get the "state": "succeeded" information for each entry in the resource array.
Or, if you prefer python list comprehension syntax, you could use Jello:
- Ask HN: Local Tools for Viewing JSON
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).
What are some alternatives?
jellex - TUI to filter JSON and JSON Lines data with Python syntax
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
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.
q - q - Run SQL directly on delimited files and multi-file sqlite databases
jc - CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.
yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
jsonslicer - Stream JSON parser for Python
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
jmespath.py - JMESPath is a query language for JSON.
duckdb - DuckDB is an in-process SQL OLAP Database Management System