miller
jello
| miller | jello | |
|---|---|---|
| 63 | 31 | |
| 8,571 | 461 | |
| - | - | |
| 9.0 | 5.8 | |
| 7 days ago | 5 months ago | |
| Go | Python | |
| GNU General Public License v3.0 or later | 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.
miller
- Qsv: Efficient CSV CLI Toolkit
-
jq 1.7 Released
jq and miller[1] are essential parts of my toolbelt, right up there with awk and vim.
[1]: https://github.com/johnkerl/miller
-
Perl first commit: a “replacement” for Awk and sed
> This works really well if your problem can be solved in one or two liners.
My personal comfort threshold is around the 100-line mark. It's even possible to write maintainable shell scripts up to 500 lines, but it mostly depends on the problem you're trying to solve, and the discipline of the programmer to follow best practices (use sane defaults, ShellCheck, etc.).
> It go bad very quickly when, say, you have two CSV files and want to join them the sql-way.
In that case we're talking about structured data, and, yeah, Perl or Python would be easier to work with. That said, depending on the complexity of the CSV, you can still go a long way with plain Bash with IFS/read(1) or tr(1) to split CSV columns. This wouldn't be very robust, but there are tools that handle CSV specifically[1], which can be composed in a shell script just fine.
So it's always a balancing act of being productive quickly with a shell script, or reaching out for a programming language once the tools aren't a good fit, or maintenance becomes an issue.
[1]: https://miller.readthedocs.io/
-
Need help on cleaning this data!!
where mlr is from https://github.com/johnkerl/miller
-
Running weekly average
if this class of problems (i.e., csv/tsv data) is your main target you may find miller (https://github.com/johnkerl/miller) much more useful in the long run
-
GQL: A new SQL like query language for .git files written in Rust
That said, you may be interested in Miller (https://github.com/johnkerl/miller) which provides similar capabilities for CSV, JSON, and XML files. It doesn't use a SQL grammar, but that's just the proverbial lipstick on the thing. I'm not the author, but I have used it and I see some parallels in use cases at the very least.
- johnkerl/miller: Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
-
Any cli utility to create ascii/org mode tables?
worth giving Miller a shot
-
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
- Miller: Like Awk, sed, cut, join, and sort for CSV, TSV, and tabular JSON
jello
-
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
-
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.
-
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:
-
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
-
Searching for a value in json with jq
jello:
-
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
What are some alternatives?
visidata - A terminal spreadsheet multitool for discovering and arranging data
jellex - TUI to filter JSON and JSON Lines data with Python syntax
xsv - A fast CSV command line toolkit written in Rust.
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.
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
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.
csvtk - A cross-platform, efficient and practical CSV/TSV toolkit in Golang
jsonslicer - Stream JSON parser for Python
yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor
jmespath.py - JMESPath is a query language for JSON.