Skip to main content

Generate Apache Avro schemas for Python types including standard library data-classes and Pydantic data models.

Project description

py-avro-schema

Generate Apache Avro schemas for Python types including standard library data-classes and Pydantic data models.

:blue_book: Documentation: https://py-avro-schema.readthedocs.io

Installing

python -m pip install py-avro-schema

Developing

To setup a scratch/development virtual environment (under .venv/), first install Tox. Then run:

tox -e dev

The py-avro-schema package is installed in editable mode inside the .venv/ environment.

Run tests by simply calling tox.

Install code quality Git hooks using pre-commit install --install-hooks.

Terms & Conditions

Copyright 2022 J.P. Morgan Chase & Co.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Contributing

See CONTRIBUTING.md

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

py_avro_schema-3.8.2.tar.gz (38.7 kB view details)

Uploaded Source

Built Distribution

py_avro_schema-3.8.2-py3-none-any.whl (23.9 kB view details)

Uploaded Python 3

File details

Details for the file py_avro_schema-3.8.2.tar.gz.

File metadata

  • Download URL: py_avro_schema-3.8.2.tar.gz
  • Upload date:
  • Size: 38.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.5

File hashes

Hashes for py_avro_schema-3.8.2.tar.gz
Algorithm Hash digest
SHA256 43577490e50bcc8bb4e32397e774661f8c21b6acaebf929bc46bce92bf441dcf
MD5 495b3a55e82a50e00a711c8b8282fc18
BLAKE2b-256 0eb8e432c2f0b9380d9bb483ddc1e02100a994ea58dfac1839350710c8c91b89

See more details on using hashes here.

File details

Details for the file py_avro_schema-3.8.2-py3-none-any.whl.

File metadata

File hashes

Hashes for py_avro_schema-3.8.2-py3-none-any.whl
Algorithm Hash digest
SHA256 54bbffec7aad34222299dd2742e505f4a53bb7d2300a950a76cb32d414ceaaae
MD5 9e0f90fc5ea5cb26c7e4de77b7ba57ca
BLAKE2b-256 2796d14d8877a65d71905634321beca746a62139286a989c4b1d14db43a6ff1b

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page