Nushell
Updated: 05 June 2025
About
Nushell makes use of command outputs as data that can be transformed, it makes use of pipes that connnect commands together in a functional-programming usage style
Thinking in Nu
Nushell works with results using pipes, this is similar to >
in bash but isn’t exactly the same
Immutability
Variables are immutable, however values can be shadowed, so I can create a shadowing x
based on a previous x
like so:
1let x = $x + 1
Scoping
Nushell uses scoped environmments in blocks, so a command can use a value within its scope like so:
1ls | each { |it|2 cd $it.name3 make4}
Fundamentals
Types of Data
The describe
command returns the type of a variable
142 | describe
Conversions
The into
command can convert variable types
1"-5" | into int
1"1.2" | into decimal
Strings
Strings can be created as:
- Double quotes:
"hello world"
- Single quotes:
'hello: "world"'
- Interpolated:
$"my number = (40 + 2)"
- Bare:
hello
Bools
Booleans are simply true
and false
Dates
Dates can be in the following formats:
2022-02-02
2022-02-02T14:30:00
2022-02-02T14:30:00+05:00
Durations
Nushell has the following durations:
ns
nanosecondus
microsecondms
millisecondsec
secondmin
minutehr
hourday
daywk
week
And can be used like so:
13.14day
Or in calculations
130day / 1sec
Ranges
Ranges can be done as 1..3
for example, by default the end is inclusive, ranges can also be open ended ..2
or 2..
Records
Records hold key-value pairs, and may or may not have commas between entry names:
1{name: john age: 5}
A record is the same as a single row of a table
Records can be iterated over by transposing them into a table:
1{name: john age: 5} | transpose key value
And accessing properties can be done like:
1{name: john age: 5}.age
Or
1{name: john age: 5}."age"
Lists
Lists are ordered sequences of data and use []
with optional ,
separators. The below will create alist of strings
1[sam fred george]
A list is the same as a single column table
Indexing lists can be done with a .
as with records:
1[sam fred george].1
Or using ranges:
1[sam fred george] | range 0..1
Tables
Tables can be created with the following syntax:
1[[column1, column2]; [Value1, Value2] [Value3, Value4]]
Tables can also be created from json
1[{name: sam, rank: 10}, {name: bob, rank: 7}]
Internally tables are just a list of records
Blocks
Blocks of code are denoted using {}
, for example:
1each { |it| print $it }
Loading Data
Open Files
Files can be opened with the open
command:
1open package.json
Nu will parse the file if it can and will return data and not just a plain string
If a file extension isn’t what the type usually has, we can still parse the file, we just ned to tell nu that it’s a specific format, so we can do this like so:
1open Cargo.lock | from toml
Manipulating Strings
String data can be manipulated using things like the lines
command which will split each line into a row:
1open people.txt | lines
And we can further apply the split
command on the column to split it by some specific character:
1open people.txt | lines | split column ";"
Additionally, we can use trim
:
1open people.txt | lines | split column ";" | str trim
And lastly, we can transform it into a table with formal column names with some additional properties on the split
command:
1open people.txt | lines | split column "|" first_name last_name job | str trim
Fetch Urls
We can also fetch remote files which will then also be converted into data like so:
1fetch https://blog.rust-lang.org/feed.xml
Cheatsheet
Moving around the File System
Nushell provides commands for normal file-system related tasks which are similar to common commands such as:
1./hello/world # will cd to the directory
Listing Files
1ls
Or listing a specific file type
1ls *.md
Or even globs
1ls **/*.md
Globs
You can also use the glob
method directly to find files recursively:
1glob **/*.png
The
glob
method returns a list of strings versus thels
method which returns a list of file objects
Stopping All Docker Containers
The Docker CLI outputs data that’s nicely structured for working with the NuShell table structure.
We can kill all containers by parsing the data into a table and stopping them individually
1docker container ls | from ssv | select "CONTAINER ID" | each { |i| docker container stop $i."CONTAINER ID" }
Config
Some utils from my current config.nu
, primarily for working with Git
1alias gch = git checkout2alias gcb = git checkout -b3alias glg = git log --graph4alias ga = git add5alias gp = git push6alias gf = git fetch7alias gl = git pull8alias gcm = git commit -m9alias gprune = git remote prune origin10
11alias conf = code $nu.config-path12alias env = code $nu.env-path13
14# Deletes all branches other than the current branch15def gclean [] {16 git branch17 | lines18 | filter {|l| $l | str contains -n "*"}19 | each {|b| $b | str trim}20 | each {|b| git branch -d $b}21}22
23def 'gclean D' [] {24 git branch25 | lines26 | filter {|l| $l | str contains -n "*"}27 | each {|b| $b | str trim}28 | each {|b| git branch -D $b}29}30
31def gmaster [] {32 let branch = git rev-parse --abbrev-ref HEAD33 git checkout master34 git pull35 git checkout $branch36 git merge master37}38
39def dev [repo:string] {40 code $"~/repos/$repo"41}42
43# Search for a string or regex using `rg -i`44def search [45 regex:string, # regex or string to search on46 -i # Run the search as case insensitive47 ] {48 if $i {49 rg -i $regex50 } else {51 rg $regex52 }53}
Watch Mode
Nushell has builtin support for watching files and running a comand when they change
You can do this using the watch
command:
1watch /some/path { echo "things have changed" }2watch /some/path {|op, path, new_path| echo "things have changed" }3watch /some/path --glob=**/*.json { echo "things have changed" }
Notifiy
A little script that’s also useful to have is this one that will notify you when a task completes. It’s a handy way to be notified when a long running task completes
This uses AppleScript as per the example on stackexchange so it will only work on MacOS. I’m sure there’s a similar way to accomplish this on other operating systems
1def "notify" [title: string = "Task Complete"] {2 print $in3
4 let $command = 'display notification "' + $title + '" with title "Shell Process Complete" sound name "Frog"'5 osascript -e $command6}
You can include the above in your nushell config and use it as follows:
1my-command long-task | notify "My Long Task is Completed"
It will also handle printing the output from the task being run
The $in
Param and Closures
Nushell functions can also use an implicit input parameter, this can be used when defining a function, for example:
1def example[] {2 echo $in3}
Which can then be used as
1"Hello World!" | example
Additionally, note that example "Hello World!"
will not work since $in
params cannot be passed positionally and can only be used part of a pipeline
It’s also possible to use $in
when we epect a closure which lets us leave out the parameter definition, for example, we can run ls
in all subdirectories of an input like so:
1# Using a normal closure2ls | each { |f| ls $f.name }3
4# Using `$in`5ls | each { ls $in.name }
The { ls $in.name }
is the same as a closure like {|f| ls $f.name }
so it’s a bit easier to type in this scenario as well.
Parsing
The parse
function can be used to read some string into a usable data structure, take the following file for example:
1john smith, age: 242jack smith, age: 54
The parse command lets us structure that using:
1open data.txt | lines | parse "{name} {surname}, age: {age}"2
3╭───┬──────┬─────────┬─────╮4│ # │ name │ surname │ age │5├───┼──────┼─────────┼─────┤6│ 0 │ john │ smith │ 24 │7│ 1 │ jack │ smith │ 54 │8╰───┴──────┴─────────┴─────╯
Detecting Columns
In simple cases instead of parsing some text you can also use detect columns
. For example using a file like this:
1Name Age2Bob Smith 253Jack Smith 82
We can use detect columns
to automatically parse the simple structure for us:
1open data.txt | detect columns2
3╭───┬──────┬─────╮4│ # │ Name │ Age │5├───┼──────┼─────┤6│ 0 │ Bob │ 25 │7│ 1 │ Jack │ 82 │8╰───┴──────┴─────╯
If our table doesn’t have headers we can still use detect columns --no-headers
to prevent it trying to use the first row as a header:
1 git status --porcelain | detect columns --no-headers2
3╭───┬─────────┬──────────╮4│ # │ column0 │ column1 │5├───┼─────────┼──────────┤6│ 0 │ A │ data.txt │7╰───┴─────────┴──────────╯
We can combine this with a rename
to improve this structure of our output table:
1git status --porcelain | detect columns --no-headers | rename status file2
3╭───┬────────┬──────────╮4│ # │ status │ file │5├───┼────────┼──────────┤6│ 0 │ A │ data.txt │7╰───┴────────┴──────────╯
Input
You can take in user input using the input
function, this allows for dynamic imput. This is handy for doing a search over some list, for example composing it with the above:
1open data.txt | lines | parse "{name} {surname}, age: {age}" | input list 'Search for User' --fuzzy
Closures
Nushell does something quite interesting with closures. Since everything is immutable it’s possible to do environment-changing operations in a somewhat contained way.
For example, I can do
some stuff like moving to a different folder, but I will not be affected outside of the closure
1# in the `root` folder2do { cd ./my-child | ls } # within the closure i am inside of the `my-child` folder3# back to the `root` folder
Or I can cd
into each folder and ls
each of them, while remaining in my parent folder.
1# in the `root` folder2ls | where type == dir | each { cd $in.name | ls }3# back to the `root` folder
Parallel
Due to the isolation that closures afford us, we can also run these in parallel, nushell has parallel methods of some commands, e.g. the each
command, which can be used with par-each
:
1ls | where type == dir | par-each { cd $in.name | ls }
This works the same but is much faster for large/complex tasks
Timer
Nushell also has a timeit
command that can be used to time the execution of any block, for example:
1timeit { ls | each { print $in.name } }
Passing Multiple Strings
Nushell supports a spread-type operator for passing a list from input into a space-separated command kind of like xargs:
1 ls *.json | get name | yarn prettier --write ...$in
The
...$in
spreads the input stream into a space-separated list