gtfs-guru 0.9.1

Fast GTFS validator written in Rust

GTFS Guru Python

High-performance GTFS feed validator with Python bindings. Written in Rust, exposed via PyO3.

Installation

pip install gtfs-guru

From Source

pip install maturin
maturin build --release
pip install target/wheels/gtfs_guru-*.whl

Quick Start

import gtfs_guru

# Validate a GTFS feed
result = gtfs_guru.validate("/path/to/gtfs.zip")

print(f"Valid: {result.is_valid}")
print(f"Errors: {result.error_count}")
print(f"Warnings: {result.warning_count}")

# Print errors
for error in result.errors():
    print(f"{error.code}: {error.message}")

API Reference

Functions

validate(path, country_code=None, date=None) -> ValidationResult

Validate a GTFS feed.

Parameters:

• path (str): Path to GTFS zip file or directory
• country_code (str, optional): ISO country code (e.g., "US", "RU")
• date (str, optional): Validation date in YYYY-MM-DD format

Returns: ValidationResult object

Example:

result = gtfs_guru.validate(
    "/path/to/gtfs.zip",
    country_code="US",
    date="2025-01-15"
)

async validate_async(path, country_code=None, date=None, on_progress=None) -> ValidationResult

Validate a GTFS feed asynchronously (non-blocking).

Parameters:

• path (str): Path to GTFS zip file or directory
• country_code (str, optional): ISO country code
• date (str, optional): Validation date in YYYY-MM-DD format
• on_progress (Callable[[ProgressInfo], None], optional): Callback for progress updates

Example:

import asyncio

async def main():
    def on_progress(info):
        print(f"{info.stage}: {info.current}/{info.total}")
        
    result = await gtfs_guru.validate_async(
        "/path/to/gtfs.zip",
        on_progress=on_progress
    )
    
asyncio.run(main())

version() -> str

Get validator version.

>>> gtfs_guru.version()
'0.9.0'

notice_codes() -> list[str]

Get list of all available notice codes.

>>> len(gtfs_guru.notice_codes())
164
>>> gtfs_guru.notice_codes()[:3]
['attribution_without_role', 'bidirectional_exit_gate', 'block_trips_with_overlapping_stop_times']

notice_schema() -> dict

Get schema for all notice types with descriptions and severity levels.

>>> schema = gtfs_guru.notice_schema()
>>> schema['missing_required_field']
{'severity': 'ERROR', 'description': '...'}

Classes

ValidationResult

Result of GTFS validation.

Attributes:

Attribute	Type	Description
is_valid	bool	True if no errors
error_count	int	Number of errors
warning_count	int	Number of warnings
info_count	int	Number of info notices
validation_time_seconds	float	Validation time in seconds
notices	list[Notice]	All validation notices

Methods:

# Get notices by severity
errors = result.errors()       # List[Notice]
warnings = result.warnings()   # List[Notice]
infos = result.infos()        # List[Notice]

# Filter by notice code
notices = result.by_code("missing_required_field")  # List[Notice]

# Export
result.save_json("/path/to/report.json")
result.save_html("/path/to/report.html")
json_str = result.to_json()   # str
report = result.to_dict()     # dict

Notice

A single validation notice.

Attributes:

Attribute	Type	Description
code	str	Notice code (e.g., "missing_required_field")
severity	str	"ERROR", "WARNING", or "INFO"
message	str	Human-readable message
file	str | None	GTFS filename
row	int | None	CSV row number
field	str | None	Field name

Methods:

# Get context field
value = notice.get("fieldName")  # Any | None

# Get all context
ctx = notice.context()  # dict[str, Any]

Examples

Basic Validation

import gtfs_guru

result = gtfs_guru.validate("/path/to/gtfs.zip")

if result.is_valid:
    print("Feed is valid!")
else:
    print(f"Found {result.error_count} errors")
    for error in result.errors():
        print(f"  - {error.code}: {error.message}")

Detailed Analysis

from collections import Counter

result = gtfs_guru.validate("/path/to/gtfs.zip")

# Count notices by code
error_counts = Counter(e.code for e in result.errors())
for code, count in error_counts.most_common(10):
    print(f"{code}: {count}")

# Find all missing required fields
for notice in result.by_code("missing_required_field"):
    file = notice.file
    field = notice.get("fieldName")
    row = notice.row
    print(f"{file}:{row} - missing {field}")

Save Reports

result = gtfs_guru.validate("/path/to/gtfs.zip")

# Save JSON report (same format as Java validator)
result.save_json("report.json")

# Save HTML report
result.save_html("report.html")

# Get as Python dict
report = result.to_dict()
summary = report["summary"]
print(f"Agencies: {summary.get('agencies', [])}")
print(f"Routes: {summary.get('routes', {}).get('count', 0)}")

Validation with Options

# Validate for specific country (affects some rules)
result = gtfs_guru.validate(
    "/path/to/gtfs.zip",
    country_code="DE"
)

# Validate as of specific date
result = gtfs_guru.validate(
    "/path/to/gtfs.zip",
    date="2025-06-01"
)

Supported Platforms

Platform	Architecture	Python
macOS	ARM64 (M1/M2)	3.8+
macOS	x86_64 (Intel)	3.8+
Windows	x86_64	3.8+
Linux	x86_64	3.8+

Performance

Typical validation times (compared to Java validator):

Feed Size	Java	Rust/Python
Small (<1MB)	~2s	~0.05s
Medium (10MB)	~10s	~0.5s
Large (100MB)	~60s	~3s

License

Apache-2.0