pydocstring-rs

Python bindings for pydocstring — a zero-dependency Rust parser for Python docstrings (Google and NumPy styles).

Produces a unified syntax tree with byte-precise source locations on every token — designed as infrastructure for linters and formatters.

Features

Full syntax tree — builds a complete AST, not just extracted fields; traverse it with walk()
Typed objects per style — style-specific classes like GoogleArg, NumPyParameter
Byte-precise source locations — every token carries its exact byte range for pinpoint diagnostics
Powered by Rust — native extension with no Python runtime overhead
Error-resilient — never raises exceptions; malformed input still yields a best-effort tree
Style auto-detection — hand it a docstring, get back Style.GOOGLE, Style.NUMPY, or Style.PLAIN

Installation

pip install pydocstring-rs

Usage

Unified Parse (auto-detect)

Use parse() when you don't know the style in advance. The returned object has a .style property so you can dispatch without isinstance checks:

from pydocstring import parse, Style

doc = parse(source)

match doc.style:
    case Style.GOOGLE:
        for arg in doc.sections[0].args:
            print(arg.name.text, arg.description.text)
    case Style.NUMPY:
        for param in doc.sections[0].parameters:
            print([n.text for n in param.names], param.description.text)
    case Style.PLAIN:
        print(doc.summary.text)

When you only need the style-independent model, no dispatch is necessary:

model = parse(source).to_model()  # works for all three styles

If you already know the style, prefer the explicit functions parse_google(), parse_numpy(), or parse_plain() — they return a concrete type and are slightly more efficient.

Style Detection

from pydocstring import detect_style, Style

detect_style("Summary.\n\nArgs:\n    x: Desc.")       # Style.GOOGLE
detect_style("Summary.\n\nParameters\n----------\n")  # Style.NUMPY
detect_style("Just a summary.")                       # Style.PLAIN

Style.PLAIN covers docstrings with no recognised section markers: summary-only, summary + extended, and unrecognised styles such as Sphinx.

Plain Style

Docstrings with no NumPy or Google section markers are parsed as plain:

from pydocstring import parse_plain

doc = parse_plain("""Brief summary.

More detail here.
Spanning multiple lines.
""")

print(doc.summary.text)            # "Brief summary."
print(doc.extended_summary.text)   # "More detail here.\nSpanning multiple lines."

Unrecognised styles such as Sphinx are also treated as plain: the :param: lines are preserved verbatim in extended_summary.

Google Style

from pydocstring import parse_google

doc = parse_google("""Summary line.

Args:
    x (int): The first value.
    y (str): The second value.

Returns:
    bool: True if successful.

Raises:
    ValueError: If x is negative.
""")

# Summary
print(doc.summary.text)  # "Summary line."

# Sections
for section in doc.sections:
    print(section.section_kind)  # GoogleSectionKind.ARGS, .RETURNS, .RAISES

# Walk the tree to access entries
from pydocstring import walk, Visitor

class GoogleArgCollector(Visitor):
    def __init__(self): self.args = []
    def enter_google_arg(self, arg, ctx): self.args.append(arg)

for arg in walk(doc, GoogleArgCollector()).args:
    print(f"  {arg.name.text}: {arg.type.text} — {arg.description.text}")

NumPy Style

from pydocstring import parse_numpy

doc = parse_numpy("""Summary line.

Parameters
----------
x : int
    The first value.
y : str
    The second value.

Returns
-------
bool
    True if successful.
""")

print(doc.summary.text)  # "Summary line."

for section in doc.sections:
    print(section.section_kind)  # NumPySectionKind.PARAMETERS, .RETURNS

# Walk the tree to access entries
class NumPyParamCollector(Visitor):
    def __init__(self): self.params = []
    def enter_numpy_parameter(self, p, ctx): self.params.append(p)

for param in walk(doc, NumPyParamCollector()).params:
    names = [n.text for n in param.names]
    print(f"  {names}: {param.type.text} — {param.description.text}")

AST Access

Use pretty_print() to visualise the full syntax tree:

doc = parse_google("Summary.\n\nArgs:\n    x (int): Value.")

print(doc.pretty_print())

Output:

GOOGLE_DOCSTRING@0..42 {
  SUMMARY: "Summary."@0..8
  GOOGLE_SECTION@10..42 {
    GOOGLE_SECTION_HEADER@10..15 {
      NAME: "Args"@10..14
      COLON: ":"@14..15
    }
    GOOGLE_ARG@20..42 {
      NAME: "x"@20..21
      OPEN_BRACKET: "("@22..23
      TYPE: "int"@23..26
      CLOSE_BRACKET: ")"@26..27
      COLON: ":"@27..28
      DESCRIPTION: "Value."@29..35
    }
  }
}

Tree Traversal

Use walk() with a Visitor subclass for depth-first traversal. walk() returns the visitor instance so you can read results inline:

from pydocstring import parse_google, walk, Visitor

doc = parse_google("Summary.\n\nArgs:\n    x (int): Value.")

class NameCollector(Visitor):
    def __init__(self): self.names = []
    def enter_google_arg(self, arg, ctx): self.names.append(arg.name.text)

print(walk(doc, NameCollector()).names)  # ["x"]

WalkContext is passed as the second argument to every enter_* / exit_* hook and exposes line_col(offset) for O(log n) byte-offset-to-line/column conversion:

class LocPrinter(Visitor):
    def enter_google_arg(self, arg, ctx):
        lc = ctx.line_col(arg.name.range.start)
        print(f"{arg.name.text} at line {lc.lineno}, col {lc.col}")

walk(doc, LocPrinter())

Source Locations

All tokens carry byte-precise source ranges:

doc = parse_google("Summary.\n\nArgs:\n    x (int): Value.")
token = doc.summary
print(token.range.start, token.range.end)  # 0 8

Style-Independent Model (IR)

Convert any parsed docstring into a style-independent intermediate representation for analysis or transformation:

from pydocstring import parse_google, SectionKind

parsed = parse_google("Summary.\n\nArgs:\n    x (int): The value.\n")
doc = parsed.to_model()

print(doc.summary)  # "Summary."

for section in doc.sections:
    if section.kind == SectionKind.PARAMETERS:
        for param in section.parameters:
            print(param.names)            # ["x"]
            print(param.type_annotation)  # "int"
            print(param.description)      # "The value."

Emitting (Code Generation)

Re-emit a Docstring model in any style — useful for style conversion or formatting:

from pydocstring import Docstring, Section, SectionKind, Parameter, emit_google, emit_numpy

doc = Docstring(
    summary="Brief summary.",
    sections=[
        Section(
            SectionKind.PARAMETERS,
            parameters=[
                Parameter(
                    ["x"],
                    type_annotation="int",
                    description="The value.",
                ),
            ],
        ),
    ],
)

google = emit_google(doc)
print(google)  # Contains "Args:"

numpy = emit_numpy(doc)
print(numpy)  # Contains "Parameters\n----------"

Combine parsing and emitting to convert between styles:

from pydocstring import parse_google, emit_numpy

parsed = parse_google("Summary.\n\nArgs:\n    x (int): The value.\n")
doc = parsed.to_model()
numpy_text = emit_numpy(doc)
print(numpy_text)  # Contains "Parameters\n----------"

API Reference

Functions

Function	Returns	Description
`parse(text)`	`GoogleDocstring \| NumPyDocstring \| PlainDocstring`	Auto-detect style and parse
`parse_google(text)`	`GoogleDocstring`	Parse a Google-style docstring
`parse_numpy(text)`	`NumPyDocstring`	Parse a NumPy-style docstring
`parse_plain(text)`	`PlainDocstring`	Parse a plain docstring (no section markers)
`detect_style(text)`	`Style`	Detect style: `Style.GOOGLE`, `Style.NUMPY`, or `Style.PLAIN`
`emit_google(doc)`	`str`	Emit a `Docstring` model as Google-style text
`emit_numpy(doc)`	`str`	Emit a `Docstring` model as NumPy-style text

Objects

Class	Key Properties
`Style`	`GOOGLE`, `NUMPY`, `PLAIN` (enum)
`GoogleSectionKind`	`ARGS`, `RETURNS`, `YIELDS`, `RAISES`, `NOTES`, `EXAMPLES`, … (enum)
`NumPySectionKind`	`PARAMETERS`, `RETURNS`, `YIELDS`, `RAISES`, `NOTES`, `EXAMPLES`, … (enum)
`GoogleDocstring`	`style`, `summary`, `extended_summary`, `paragraphs`, `sections`, `deprecation`, `source`, `pretty_print()`, `to_model()`
`GoogleSection`	`section_kind`, `header_name`, `range`
`GoogleArg`	`name`, `type`, `description`, `optional`, `open_bracket`, `close_bracket`, `colon`
`GoogleReturn`	`return_type`, `description`, `colon`
`GoogleYield`	`return_type`, `description`, `colon`
`GoogleException`	`type`, `description`, `colon`
`GoogleWarning`	`type`, `description`, `colon`
`GoogleSeeAlsoItem`	`name`, `description`, `colon`
`GoogleAttribute`	`name`, `type`, `description`, `open_bracket`, `close_bracket`, `colon`
`GoogleMethod`	`name`, `type`, `description`, `open_bracket`, `close_bracket`, `colon`
`PlainDocstring`	`style`, `summary`, `extended_summary`, `source`, `pretty_print()`, `to_model()`
`NumPyDocstring`	`style`, `summary`, `extended_summary`, `paragraphs`, `sections`, `deprecation`, `source`, `pretty_print()`, `to_model()`
`NumPySection`	`section_kind`, `header_name`, `range`
`NumPyParameter`	`name`, `names`, `type`, `description`, `optional`, `default_value`, `colon`, `default_keyword`, `default_separator`
`NumPyReturns`	`name`, `return_type`, `description`, `colon`
`NumPyYields`	`name`, `return_type`, `description`, `colon`
`NumPyException`	`type`, `description`, `colon`
`NumPyWarning`	`type`, `description`, `colon`
`NumPySeeAlsoItem`	`name`, `description`, `colon`
`NumPyReference`	`label`, `content`, `directive_marker`, `open_bracket`, `close_bracket`
`NumPyAttribute`	`name`, `type`, `description`, `colon`
`NumPyMethod`	`name`, `type`, `description`, `colon`
`NumPyDeprecation`	`version`, `description`, `directive_marker`, `keyword`, `double_colon`
`Token`	`text`, `range`, `is_missing()`
`TextRange`	`start`, `end`, `is_empty()`
`Visitor`	Base class; subclass and override `enter_` / `exit_` methods
`WalkContext`	`line_col(offset)` — passed as second arg to every `enter_` / `exit_` hook
`SectionKind`	`PARAMETERS`, `RETURNS`, `RAISES`, `NOTES`, … (enum, 24 variants — model IR)
`Docstring`	`summary`, `extended_summary`, `directives`, `deprecation` (computed), `sections`
`Section` (model)	`kind`, `parameters`, `returns`, `exceptions`, `attributes`, `methods`, `see_also_entries`, `references`, `body`
`Parameter`	`names`, `type_annotation`, `description`, `is_optional`, `default_value`
`Return`	`name`, `type_annotation`, `description`
`ExceptionEntry`	`type_name`, `description`
`Attribute`	`name`, `type_annotation`, `description`
`Method`	`name`, `type_annotation`, `description`
`SeeAlsoEntry`	`names`, `description`
`Reference`	`label`, `content`
`Directive`	`name`, `argument`, `description`

Development

Prerequisites

Rust (stable)
uv (manages the Python interpreter, venv, and dev tooling)

Build

cd bindings/python

# Create the venv and install dev tooling (maturin, pytest) into it.
# uv provisions the pinned Python from .python-version automatically.
uv sync

# Build and install the native extension in development mode
uv run maturin develop --uv

# Verify
uv run python -c "import pydocstring; print(pydocstring.detect_style('Args:\n    x: y'))"

After changing the Rust source, re-run uv run maturin develop --uv to rebuild.

Build a wheel

uv run maturin build --release
# Output: target/wheels/pydocstring-*.whl

Publish to PyPI

uv run maturin publish

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The following attestation bundles were made for pydocstring_rs-0.3.1-cp310-abi3-macosx_10_12_x86_64.whl:

Publisher: release.yml on ryumasai/pydocstring

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: pydocstring_rs-0.3.1-cp310-abi3-macosx_10_12_x86_64.whl
- Subject digest: a5a74548b1dfc9d7a18262711af0b5b5761e13f90d6ae97c116b41b24b7c49d7
- Sigstore transparency entry: 2135920567
- Sigstore integration time: Jul 10, 2026
Source repository:
- Permalink: ryumasai/pydocstring@9bd7ec9b5176ccad2fcc548bb35fdfdd8051f571
- Branch / Tag: refs/tags/v0.3.1
- Owner: https://github.com/ryumasai
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@9bd7ec9b5176ccad2fcc548bb35fdfdd8051f571
- Trigger Event: push

Release history Release notifications | RSS feed

0.4.1

Jul 14, 2026

0.4.0

Jul 14, 2026

This release

0.3.1

Jul 10, 2026

0.3.0

Jul 9, 2026

0.2.0

Jul 7, 2026

0.1.15

Jul 7, 2026

0.1.14

Jul 6, 2026

0.1.13

May 11, 2026

0.1.12

May 9, 2026

0.1.11

Apr 15, 2026

0.1.10

Apr 9, 2026

0.1.9

Apr 1, 2026

0.1.8

Mar 31, 2026

0.1.7

Mar 30, 2026

0.1.6

Mar 29, 2026

0.1.5

Mar 22, 2026

0.1.4

Mar 20, 2026

0.1.3

Mar 19, 2026

0.1.2

Mar 16, 2026

0.1.1

Mar 10, 2026

0.1.0

Mar 10, 2026

0.0.3

Mar 8, 2026

pydocstring-rs 0.3.1

pydocstring-rs

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