Miller Alternatives
Similar projects and alternatives to miller
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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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.
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json-toolkit
"the best opensource converter I've found across the Internet" -- dene14
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SonarLint
Deliver Cleaner and Safer Code - Right in Your IDE of Choice!. SonarLint is a free and open source IDE extension that identifies and catches bugs and vulnerabilities as you code, directly in the IDE. Install from your favorite IDE marketplace today.
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golang-standards/project-layout
Standard Go Project Layout
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structured-text-tools
A list of command line tools for manipulating structured text data
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tsv-utils
eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
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scc
Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go
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DataProfiler
What's in your data? Extract schema, statistics and entities from datasets
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jello
CLI tool to filter JSON and JSON Lines data with Python syntax. (Similar to jq)
miller reviews and mentions
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Is there any conventionally accepted repo that is representative of well designed go code ?
Hmm, I'm no go expert, but one of the first tools written in go that I looked into is miller: https://github.com/johnkerl/miller
- Is there an awk/perl style tool for on-the-fly one-liners with a SQL syntax?
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Modernizing AWK, a 45-year old language, by adding CSV support
Neat, but I just use Miller wherever I need csv stuff
Completely different project in same spirit... https://github.com/johnkerl/miller
I have grown fond of using miller[0] to handle command line data processing. Handles the standard tabular formats (csv, tsv, json) and has all of the standard data cleanup options. Works on streams so (most operations) are not limited by memory.
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Introducing zq: an easier (and faster) alternative to jq
I'm going to plug miller here. It's like jq but can do csv and dkvp.
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Moreutils: A collection of Unix tools that nobody thought to write long ago
The absolute number one Unix tool that should have - and, more to the point, COULD have - been written long ago is mlr.
https://github.com/johnkerl/miller
"Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON."
This should have been part of the standard unix toolkit for the last 40 years.
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A New Way to Parse Plain Text Tables
What's wrong with Miller? (mlr) https://github.com/johnkerl/miller
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Select, put and delete data from JSON, TOML, YAML, XML and CSV files
I'm a big fan of miller (mlr) -- it's the tool I landed on when I needed to "graduate" from awk to look at CSV data. But when I read "go based" in your comment, I thought "nope, it's written in C". But no! It was ported to go -- very interesting!
The developer wrote a comprehensive document explaining the rationale behind the porting that answered all my questions and a lot more: https://github.com/johnkerl/miller/blob/main/README-go-port.....
Thought other miller/mlr fans (that don't follow its development) might find this interesting as well.
(The dasel tool looks very cool, too -- looks like a good complement to mlr and similar tools!)
Reminds me of https://github.com/johnkerl/miller which is also a go based tool cloning features from tools like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
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Read in from a CSV only those lines which meet a certain condition?
Alternatively you can filter the file at the command line and save it as a smaller file and then read that in. Look into awk or https://github.com/johnkerl/miller.
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Curl gets a --json flag
Check out miller
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data manipulation: jq vs Miller
View on GitHub
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Fq: Jq for Binary Formats
Miller Csv can process json in record format and has a much saner DSL in my experience.
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Miller – tool for querying, shaping, reformatting data in CSV, TSV, and JSON
Agreed, very much a user tool -- once it's released most people will get it via brew/yum/apt/conda/chocolatey and compile time will not be relevant for most folks.
Miller has always been a user tool and will remain so.
I think the confusion arose because I did the port per se and feature-adds first (which has taken most of the time), and left analysis/optimization (even low-hanging fruit like output-buffering) until the very end -- https://github.com/johnkerl/miller/pull/786 for example merged just a couple days ago.
Stats
johnkerl/miller is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
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