Registry / serialization / avro-validator

avro-validator

library1.2.1pypypi✓ verified 80d ago

A pure Python Avro schema validator that validates Python dicts against Avro schemas, supporting logical types, recursive types, custom types, and JSON Schema format for union types. Current version 1.2.1, released June 2022; maintenance mode.

serialization data

pip install avro-validator

github ↗package ↗docs ↗

INSTALL

IMPORT

SIG · AVRO-VALIDATOR

avro-validator

serializationpythonv1.2.1

Install

1.6s avg

Import

—

Disk

16MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.2.1 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.000s · 17.9MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 1.6s · import 0.000s · 18MB

16MB installed

● package 16MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

Schema

✓ from avro_validator import Schema

✗ from avro_validator import AvroValidator

RecordType

✓ from avro_validator import RecordType

Type

✓ from avro_validator import Type

Create an Avro schema, validate a record, and check result.

from avro_validator import AvroValidator, AvroSchema schema = AvroSchema({ 'type': 'record', 'name': 'User', 'fields': [{'name': 'name', 'type': 'string'}, {'name': 'age', 'type': 'int'}] }) validator = AvroValidator(schema) data = {'name': 'Alice', 'age': 30} result = validator.validate(data) print(result.is_valid) # True print(result.errors) # []

Debug

Known issues

gotchavalidate() returns an AvroResult object, not a boolean. Access .is_valid and .errors.

fix

Use result.is_valid and result.errors instead of comparing result directly.

affects: all

gotchaAvroSchema expects a Python dict, not a JSON string. If you have a JSON string, parse it with json.loads first.

fix

schema_dict = json.loads(schema_str); schema = AvroSchema(schema_dict)

affects: all

gotchaThe library does not validate field defaults against the schema. A default with wrong type passes validation.

fix

Manually check defaults before validation or use a different library if strict default validation is needed.

affects: all

Upgrade

Version history

1.2.1latest on PyPI · released Jul 26, 2022

Audit

Dependencies

No dependency data recorded yet.

Agent activity

29 hits · last 30 days

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OpenAI (training)

Resources

githubhttps://github.com/leocalm/avro_validator ↗

packagehttps://pypi.org/project/avro-validator/ ↗

docshttps://avro-validator.readthedocs.io/ ↗