PoloDB
miller
| PoloDB | miller | |
|---|---|---|
| 4 | 63 | |
| 770 | 8,559 | |
| 3.1% | - | |
| 7.2 | 9.0 | |
| 2 months ago | 10 days ago | |
| Rust | Go | |
| Mozilla Public License 2.0 | GNU General Public License v3.0 or later |
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.
PoloDB
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A NoSQL embedded database for you Rust app
Github: https://github.com/PoloDB/PoloDB
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An embedded NoSQL database on rust.
Have you looked at https://github.com/PoloDB/PoloDB. You can get some ideas from it.
- PoloDB 3 released
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Is there a nice embedded json db, like PoloDB (Rust) for Golang
For the sake of easy querying, MongoDB would be what I want but it's not fitting for a cli tool. I came across https://github.com/vincentdchan/PoloDB which is a lightweight embedded mongo-alike, very awesome, but it's for Rust.
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
What are some alternatives?
tock - A secure embedded operating system for microcontrollers
visidata - A terminal spreadsheet multitool for discovering and arranging data
hare - Hare is a nimble little database management system for Go.
xsv - A fast CSV command line toolkit written in Rust.
badger - Fast key-value DB in Go.
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
golang-scribble - A tiny Golang JSON database
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.
example - FerretDB example
csvtk - A cross-platform, efficient and practical CSV/TSV toolkit in Golang
buntdb - BuntDB is an embeddable, in-memory key/value database for Go with custom indexing and geospatial support
yq - yq is a portable command-line YAML, JSON, XML, CSV, TOML and properties processor