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        "author": "Miki Tebeka",
        "author_email": "miki.tebeka@gmail.com",
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        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: MacOS",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy",
            "Topic :: Scientific/Engineering :: Information Analysis",
            "Topic :: Software Development :: Libraries",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "# fastavro\n[![Build Status](https://travis-ci.org/fastavro/fastavro.svg?branch=master)](https://travis-ci.org/fastavro/fastavro)\n[![Documentation Status](https://readthedocs.org/projects/fastavro/badge/?version=latest)](http://fastavro.readthedocs.io/en/latest/?badge=latest)\n[![codecov](https://codecov.io/gh/fastavro/fastavro/branch/master/graph/badge.svg)](https://codecov.io/gh/fastavro/fastavro)\n\n\nBecause the Apache Python `avro` package is written in pure Python, it is\nrelatively slow. In one test case, it takes about 14 seconds to iterate through\na file of 10,000 records. By comparison, the JAVA `avro` SDK reads the same file in\n1.9 seconds.\n\nThe `fastavro` library was written to offer performance comparable to the Java\nlibrary. With regular CPython, `fastavro` uses C extensions which allow it to\niterate the same 10,000 record file in 1.7 seconds. With PyPy, this drops to 1.5\nseconds (to be fair, the JAVA benchmark is doing some extra JSON\nencoding/decoding).\n\n`fastavro` supports the following Python versions:\n\n* Python 2.7\n* Python 3.5\n* Python 3.6\n* Python 3.7\n* PyPy\n* PyPy3\n\n## Supported Features\n\n* File Writer\n* File Reader (iterating via records or blocks)\n* Schemaless Writer\n* Schemaless Reader\n* JSON Writer\n* JSON Reader\n* Codecs (Snappy, Deflate, Zstandard, Bzip2)\n* Schema resolution\n* Aliases\n* Logical Types\n\n## Missing Features\n\n* Anything involving Avro's RPC features\n* Parsing schemas into the canonical form\n* Schema fingerprinting\n\n[Cython]: http://cython.org/\n\n# Documentation\n\nDocumentation is available at http://fastavro.readthedocs.io/en/latest/\n\n# Installing\n`fastavro` is available both on [PyPi](http://pypi.python.org/pypi)\n\n    pip install fastavro\n\nand on [conda-forge](https://conda-forge.github.io) `conda` channel.\n\n    conda install -c conda-forge fastavro\n\n# Contributing\n\n* Bugs and new feature requests typically start as github issues where they can be discussed. I try to resolve these as time affords, but PRs are welcome from all.\n* Get approval from discussing on the github issue before opening the pull request\n* Tests must be passing for pull request to be considered\n\nDeveloper requirements can be installed with `pip install -r developer_requirements.txt`.\nIf those are installed, you can run the tests with `./run-tests.sh`. If you have trouble\ninstalling those dependencies, you can run `docker build .` to run the tests inside\na docker container. This won't test on all versions of python or on pypy, so it's possible\nto still get CI failures after making a pull request, but we can work through those errors\nif/when they happen.\n\n### Releasing\n\nWe release both to [pypi][pypi] and to [conda-forge][conda-forge].\n\nWe assume you have [twine][twine] installed and that you've created your own\nfork of [fastavro-feedstock][feedstock].\n\n* Make sure the tests pass\n* Run `make tag`\n* Copy the windows build artifacts for the new version from\n  https://ci.appveyor.com/project/scottbelden/fastavro to the `dist` folder\n* Copy the linux build artifacts for the new version from\n  https://github.com/fastavro/fastavro/releases/tag/ to the `dist` folder\n* Run `make publish`\n* Note the sha signature emitted at the above\n* Switch to feedstock directory and edit `recipe/meta.yaml`\n    - Update `version` and `sha256` variables at the top of the file\n    - Run `python recipe/test_recipe.py`\n    - Submit a [PR][pr]\n\n[conda-forge]: https://conda-forge.org/\n[feedstock]: https://github.com/conda-forge/fastavro-feedstock\n[pr]: https://conda-forge.org/#update_recipe\n[pypi]: https://pypi.python.org/pypi\n[twine]: https://pypi.python.org/pypi/twine\n\n\n# Changes\n\nSee the [ChangeLog]\n\n[ChangeLog]: https://github.com/fastavro/fastavro/blob/master/ChangeLog\n\n# Contact\n\n[Project Home](https://github.com/fastavro/fastavro)",
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