Expressions in Nodlin

Sat, 05 Sep 2026 00:00:00 +0000

What are expressions?

Expression nodes compute a single value from connected graph data — similar to a formula cell in a spreadsheet.

They are not full Nodlin scripts. Scripts (see ) define custom types, forms, images, and multi-step logic. Expressions are a separate, lighter interpreter for one-line Starlark formulas.

	Expression node	Script node
Purpose	Calculate a result	Custom behaviour, UI, side effects
Length	Single formula line	Full script
Access	Aliases, `related()`, `col()`, aggregates	`node`, `context`, `factory`, forms, links
Result	Number, condition, list, or map	Full node payload + form + image

When to use expressions

Use expressions when you need:

Totals, averages, maxima over linked values
Simple conditions (revenue > cost)
A column from a table on a spreadsheet or script payload
A named intermediate value other nodes can reference

Use scripts when you need forms, custom visuals, creating nodes/links, or multi-step workflows.

— full Starlark scripts
— including the expression editor control
— language reference

Mental model (Excel → Nodlin)

Excel	Nodlin expression
`=A1+B1`	`price + quantity` (node aliases)
`=SUM(A1:A10)`	`sum(related())` or `sum(col(table, 1))`
`=AVERAGE(...)`	`avg(...)`
`=MAX(...)` / `=MIN(...)`	`max(...)` / `min(...)`
`=IF(A1>10,"high","low")`	`"high" if a > 10 else "low"`

Key difference: instead of cell addresses, you use aliases on connected nodes and/or the related() function over relationships.

Quick start

1. Alias connected inputs

Give related nodes short aliases (e.g. price, qty, trial). In expressions those names become variables.

(price + tax) * qty

2. Sum everything on a link

sum(related("value", "hasCost"))

3. Max age from a table on a spreadsheet

If a spreadsheet node is aliased trial and its value contains people as rows [["fred", 23], ...]:

max(col(trial["people"], 1))

4. Condition

revenue > cost

Result displays as TRUE / FALSE on the node.

Aliases

Each connected inbound node with an alias exposes its default binding as a variable:

Prefer the value property
Else condition
Else the whole payload (dict)

# Scalar values
price * qty

# Dict binding (e.g. spreadsheet value map)
trial["cost"]
trial["people"]

Tips

Aliases must be unique among inbound related nodes used by the expression.
Prefer aliases over related()[0] when there is a single clear source node.
Nested paths use Starlark subscripts: trial["a"]["b"], rows[0].

The `related()` function

related() reads properties from inbound connected nodes and always returns a list.

Syntax

related([prop,] [relation,] [type])

Argument	Meaning	Example
`prop`	Property to extract	`"value"`, `"condition"`, `"cost"`
`relation`	Relationship filter	`"hasCost"`, `"input"`
`type`	Node type filter (requires `relation`)	`"Product"`, `"spreadsheetFile"`

Names can be short FQN references in lowerCamel (e.g. hasCost, spreadsheetFile) or matching user labels.

Examples

related()
# → default value/condition from all inbound related nodes

related("value", "hasCost")
# → value props over hasCost

related("value", "owns", "Product")
# → Product values over owns

sum(related("value", "hasCost"))
avg(related())
max(related("value", "hasPrice"))

Exactly one match: `hasOne`

When you need exactly one related value (not a list), wrap with hasOne:

hasOne(related("value", "input", "spreadsheetFile"))
# → single value dict; errors if 0 or more than one match

This mirrors script-side node.R.<rel>.hasOne() cardinality checks. Prefer an alias when the source is named; use hasOne(related(...)) for the unaliased case instead of a bare [0] index.

# Preferred when aliased
max(col(trial["people"], 1))

# Unaliased edge case
max(col(hasOne(related("value", "input", "spreadsheetFile"))["people"], 1))

Tables: `col()` and aggregates

`col(rows, index_or_name)`

Extract one column from a list of rows:

Row shape	Second argument	Example
List of lists / tuples	Integer index (0-based)	`col(trial["people"], 1)`
List of dicts	String key	`col(trial["people"], "age")`

# people = [["fred", 23], ["john", 26], ["peter", 92]]
max(col(trial["people"], 1)) # → 92
sum(col(trial["people"], 1))
avg(col(trial["people"], 1))
min(col(trial["people"], 1))

Missing keys or out-of-range indexes are errors (so mistakes are visible).

List comprehensions (escape hatch)

Still valid when you need custom logic:

max([age for name, age in trial["people"]])
max([row[1] for row in trial["people"]])
sum([x for x in related() if x > 100])

For plain column extract + aggregate, col is clearer.

Empty lists

max([]) and min([]) fail. Ensure the source list is non-empty, or handle emptiness upstream.

Operators and conditions

Arithmetic and comparison

+ - * / ^ · == != < > <= >= · and or not

(price + tax) * qty
revenue > cost and status == "approved"

Conditional expression (ternary)

Use the expression form, not an if-statement:

# Valid
"high" if a > 10 else "low"
A1 if B2 > 0 else B2 + A1

# Invalid (statement — not allowed in a single expression)
# if B2 > 0: A1 else: B2 + A1

Parentheses and strings

(price + tax) * qty
"hello"
'world'

Built-in functions (summary)

Nodlin-specific

Function	Returns	Role
`related([prop,] [relation,] [type])`	List	Values from inbound related nodes
`sum(list)`	Number	Sum numerics (non-numerics ignored)
`avg(list)`	Number	Average numerics
`col(rows, index\|name)`	List	Column from list-of-rows
`hasOne(list)`	Any	Exactly one list element

Starlark (also available)

max, min, len, abs, sorted, enumerate, zip, any, all, int, float, str, bool, list, dict, type, …

Modules

math.sqrt(16)
math.pi
math.ceil(3.2)

time.now()
# (time helpers as provided by the expression environment)

Result types and display

An expression evaluates to one of:

Type	Example	On the node
Number	`price * qty`	Formatted value (scale, currency, %)
Condition	`revenue > cost`	`TRUE` / `FALSE` (or icons)
List	`related()` / `col(...)`	Compact list summary
Map	dict result	Key summary

Formatting (on the expression node, not in the formula)

Setting	Purpose
Scale	Decimal places (0–8)
Currency / PCT	e.g. USD, EUR, or percentage
Size / colours	Node appearance
Show label	Title vs comment
List icon options	First / last / both for list results

Errors surface with a clear error state on the node (and in the form) so formula mistakes are visible.

Worked examples

Totals and tax

Aliases: product = 29.99, taxRate = 0.08, qty = 3

(product + product * taxRate) * qty
# → 97.1694 (format as USD, scale 2 → $97.17)

Average cost over a relationship

avg(related("value", "hasCost"))
# connected costs [10, 15, 25] → 16.67

Profit check

(product * qty) > sum(related("value", "hasCost"))
# → True

Spreadsheet table column

Spreadsheet alias trial, value.people = name/age rows:

max(col(trial["people"], 1))
# → 92

max(col(hasOne(related("value", "input", "spreadsheetFile"))["people"], 1))

Writing expressions in the UI

Expression fields use a CodeMirror editor (Python highlighting) with an expandable helper panel:

Named inputs — insert aliases; open Fields… for dict paths
Aggregate column — for list-of-rows fields, pick column + max/min/sum/avg → inserts max(col(...))
Related list — build related(...) / sum(related(...)) / hasOne(related(...))
Operators — chips and templates (col, comprehensions, conditionals)

Habit that pays off: alias the source node, use Fields… + Aggregate column, avoid hand-written related()[0] when hasOne or an alias will do.

Forms can also embed the same control via webform.addExpressionEditor — see .

Expressions vs scripts (checklist)

Need	Prefer
One calculated number / condition / list	Expression
Reuse that value by name on neighbours	Expression + alias
Custom form, SVG, create/link nodes	Script
Multi-step workflow / actions	Script
Domain-specific node type	Script package

Troubleshooting

Symptom	Likely cause
Unknown name	Missing alias, or node not inbound-related
`hasOne(): no items` / `>1 items`	Zero or multiple matches — fix links or filter `relation`/`type`
`col(): … out of range` / key not found	Wrong column index/name or ragged rows
`max`/`min` on empty list	No rows — check source path
Invalid if/else	Use `a if cond else b`, not `if cond: …`
Type without relation	`related` requires `relation` whenever `type` is set

Expressions | nodlin.com

Expressions in Nodlin

What are expressions?

When to use expressions

Mental model (Excel → Nodlin)

Quick start

1. Alias connected inputs

2. Sum everything on a link

3. Max age from a table on a spreadsheet

4. Condition

Aliases

Syntax

Examples

Exactly one match: `hasOne`

Tables: `col()` and aggregates

`col(rows, index_or_name)`

List comprehensions (escape hatch)

Empty lists

Operators and conditions

Arithmetic and comparison

Conditional expression (ternary)

Parentheses and strings

Built-in functions (summary)

Nodlin-specific

Starlark (also available)

Modules

Result types and display

Formatting (on the expression node, not in the formula)

Worked examples

Totals and tax

Average cost over a relationship

Profit check

Spreadsheet table column

Writing expressions in the UI

Expressions vs scripts (checklist)

Troubleshooting

Further reading

Expressions | nodlin.com

Expressions in Nodlin

What are expressions?

When to use expressions

Related docs

Mental model (Excel → Nodlin)

Quick start

1. Alias connected inputs

2. Sum everything on a link

3. Max age from a table on a spreadsheet

4. Condition

Aliases

The related() function

Syntax

Examples

Exactly one match: hasOne

Tables: col() and aggregates

col(rows, index_or_name)

List comprehensions (escape hatch)

Empty lists

Operators and conditions

Arithmetic and comparison

Conditional expression (ternary)

Parentheses and strings

Built-in functions (summary)

Nodlin-specific

Starlark (also available)

Modules

Result types and display

Formatting (on the expression node, not in the formula)

Worked examples

Totals and tax

Average cost over a relationship

Profit check

Spreadsheet table column

Single related spreadsheet without alias

Writing expressions in the UI

Expressions vs scripts (checklist)

Troubleshooting

Further reading

The `related()` function

Exactly one match: `hasOne`

Tables: `col()` and aggregates

`col(rows, index_or_name)`