miller
csvkit
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| miller | csvkit | |
|---|---|---|
| 63 | 9 | |
| 8,553 | 5,816 | |
| - | 1.1% | |
| 9.1 | 8.6 | |
| 6 days ago | 7 days 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
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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
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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/
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Need help on cleaning this data!!
where mlr is from https://github.com/johnkerl/miller
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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
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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
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Any cli utility to create ascii/org mode tables?
worth giving Miller a shot
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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
csvkit
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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
- Icsp – Command-line iCalendar (.ics) to CSV parser
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Tool to interact with CSV
I used to use csvkit tools, but at some point I had issues with some conversions of values (I don't remember the details).
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This Week In Python
csvkit – A suite of utilities for converting to and working with CSV
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How to log query in Postgres container Docker to CSV file
I recommend you add a header column to CSV file that we got so it's easy to implement and use a tool like csvkit to filter data.
- Do you know of any website that has a bunch of files for CSV parser edge case testing?
- If you want to run SQL queries on CSV files from the command line without installing/opening any DBMS software, use CSVKIT
What are some alternatives?
visidata - A terminal spreadsheet multitool for discovering and arranging data
Kaitai Struct - Kaitai Struct: declarative language to generate binary data parsers in C++ / C# / Go / Java / JavaScript / Lua / Nim / Perl / PHP / Python / Ruby
xsv - A fast CSV command line toolkit written in Rust.
pymorphy2 - Morphological analyzer / inflection engine for Russian and Ukrainian languages.
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
Python-Schema-Matching - A python tool using XGboost and sentence-transformers to perform schema matching task on tables.
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.
binary-csv - A fast, streaming CSV binary parser written in javascript
csvtk - A cross-platform, efficient and practical CSV/TSV toolkit in Golang
yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor
csv-spectrum - A variety of CSV files to serve as an acid test for CSV parsing libraries