pyrs-yaml

A high-performance Python YAML library with perfect round-trip support, built with Rust and PyO3.

Features

YAML 1.2 compliant - Uses saphyr-parser for full YAML 1.2 support
Perfect Round-Trip - Preserves comments, anchors, tags, chomping, scalar styles, and flow/block formatting
High Performance - Rust backend, see benchmarks
NumPy ndarray support - safe_dump() / safe_dumps() / from_dict() / dump_file() serialize numpy.ndarray of any dimension (0-D through N-D) with zero-copy Rust dispatch
JSON Schema validation - YamlDocument.validate(schema) validates parsed documents against JSON Schema; YamlValidateError for failures
Async I/O - safe_dumps_async / safe_dump_async / safe_loads_async / safe_load_async via asyncio.run_in_executor
Incremental re-parse - doc.source() + doc.reparse() for re-parsing stored YAML in-place with different options
JSON serialization - doc.to_json() exports documents to standard JSON
Custom AST - Extensible AST for advanced YAML manipulation
PyYAML Compatible - Drop-in replacement with safe_load/safe_dump API

Installation

pip install pyrs-yaml

Quick Start

import pyrs_yaml

# Parse YAML
doc = pyrs_yaml.parse("key: value")
print(doc.to_yaml())  # key: value

# PyYAML compatible API
data = pyrs_yaml.safe_load("key: value")
print(data)  # {'key': 'value'}

# Round-trip preserves comments
original = "# Comment\nkey: value  # inline\n"
doc = pyrs_yaml.parse(original)
assert doc.to_yaml() == original  # True

JSON Schema validation

doc = pyrs_yaml.parse("name: Alice\nage: 30")
doc.validate({"type": "object", "properties": {"name": {"type": "string"}}})
# None — validation passed

# Invalid — raises YamlValidateError
doc.validate({"type": "object", "required": ["email"]})
# pyrs_yaml.YamlValidateError: "Email" is a required property

Async serialization

import asyncio
import pyrs_yaml

async def main():
    yaml = await pyrs_yaml.safe_dumps_async({"a": 1})
    data = await pyrs_yaml.safe_loads_async(yaml)
    print(data)  # {'a': 1}

asyncio.run(main())

Incremental re-parse

doc = pyrs_yaml.parse("x: on")
print(doc.get("x"))  # "on" (core schema: string)

doc.reparse(schema="yaml1.1")
print(doc.get("x"))  # True (yaml1.1 schema: bool)

JSON export

doc = pyrs_yaml.parse("a: 1\nb: hello")
json_str = doc.to_json()  # '{"a": 1, "b": "hello"}'

NumPy ndarray support

import numpy as np
import pyrs_yaml

# 1-D array
arr = np.array([1, 2, 3], dtype="int32")
yaml_str = pyrs_yaml.safe_dump(arr)
print(yaml_str)
# - 1
# - 2
# - 3

# 2-D matrix
matrix = np.array([[1, 2], [3, 4]], dtype="float64")
yaml_str = pyrs_yaml.safe_dump(matrix)
print(yaml_str)
# -
#   - 1.0
#   - 2.0
# -
#   - 3.0
#   - 4.0

# Round-trip
loaded = pyrs_yaml.safe_load(yaml_str)
assert loaded == [[1.0, 2.0], [3.0, 4.0]]

Features Supported

Feature	Support
YAML 1.2	Full
Comments (standalone + inline)	Preserved
Anchors (`&`) and aliases (`*`)	Preserved
Tags (`!!str`, `!!int`, etc.)	Preserved
Chomping (`\|-`, `\|+`, `>-`, `>+`)	Preserved
Complex keys (sequence/mapping as key)	Supported
Escape sequences (`\n`, `\t`, `\uXXXX`)	Supported
Flow collections (`{}`, `[]`)	Preserved
Block scalars (`\|`, `>`)	Preserved
Merge keys (`<<: *alias`)	Resolved (opt-out via `resolve_merges=False`)
NumPy ndarray	Full (0-D through N-D)
JSON Schema validation	Full
Async I/O	Full
Incremental re-parse	Full
JSON export	Full

API Reference

Core Functions

# Parse YAML string (accepts str or bytes)
doc = pyrs_yaml.parse(yaml_str)
doc = pyrs_yaml.parse(yaml_bytes)

# Parse with options
doc = pyrs_yaml.parse(yaml_str, resolve_merges=False)

# Parse YAML file
doc = pyrs_yaml.parse_file("config.yaml")

# Parse multiple YAML documents
docs = pyrs_yaml.parse_all_docs(yaml_str)

# Convert to YAML string (with options)
yaml_str = doc.to_yaml()
yaml_str = doc.to_yaml_with_options(indent_size=4, explicit_start=True, sort_keys=True)

# Get value by key (with default)
value = doc.get("key")
value = doc.get("missing_key", "default")

# Get root type
doc.root_type()  # "mapping", "sequence", "scalar", "null"

# Check containment and length
"key" in doc
len(doc)

# Iterate
for key in doc:
    print(key, doc[key])

PyYAML Compatible API

# Load YAML to dict
data = pyrs_yaml.safe_load(yaml_str)

# Load multiple documents
docs = pyrs_yaml.safe_loads(yaml_str)

# Dump dict to YAML
yaml_str = pyrs_yaml.safe_dump(data)

# Convert dict to YAML
yaml_str = pyrs_yaml.from_dict(data)

# Convert JSON to YAML
yaml_str = pyrs_yaml.from_json(json_str)

# Dump to file
pyrs_yaml.dump_file(data, "output.yaml")

# Extract YAML frontmatter from markdown
frontmatter, content = pyrs_yaml.read_markdown("post.md")
frontmatter, content = pyrs_yaml.read_markdown_str(markdown_text)

# i18n language management
pyrs_yaml.set_language("zh-CN")
pyrs_yaml.get_language()  # "zh-CN"
pyrs_yaml.list_languages()  # ["en", "zh-CN"]
pyrs_yaml.detect_language()  # auto-detect from environment
pyrs_yaml.negotiate_language(["zh-CN", "en"], "en")  # "zh-CN"

Performance

Criterion benchmarks in benches/yaml_bench.rs:

Operation	Time
Parse (small, ~2 keys)	~1.7 us
Parse (medium, ~30 keys)	~20 us
Parse (large, ~60 keys)	~93 us
Serialize (small)	~200 ns
Serialize (medium)	~1.7 us
Serialize (large)	~4.9 us
Roundtrip (large)	~99 us

Development

# Install dependencies
uv sync

# Build Python extension
maturin develop --release

# Run tests
cargo test
pytest tests/

# Run benchmarks
cargo bench

# Run clippy
cargo clippy -- -D warnings

# Format code
cargo fmt

License

Licensed under either of:

at your option.

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