Fast read/write of AVRO files

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for scottbelden from gravatar.com scottbelden Avatar for tebeka from gravatar.com tebeka

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Miki Tebeka
  • Requires: Python >=3.8
Classifiers

Project description

fastavro

Build Status Documentation Status codecov

Because the Apache Python avro package is written in pure Python, it is relatively slow. In one test case, it takes about 14 seconds to iterate through a file of 10,000 records. By comparison, the JAVA avro SDK reads the same file in 1.9 seconds.

The fastavro library was written to offer performance comparable to the Java library. With regular CPython, fastavro uses C extensions which allow it to iterate the same 10,000 record file in 1.7 seconds. With PyPy, this drops to 1.5 seconds (to be fair, the JAVA benchmark is doing some extra JSON encoding/decoding).

fastavro supports the following Python versions:

  • Python 3.8
  • Python 3.9
  • Python 3.10
  • Python 3.11
  • Python 3.12
  • PyPy3

Supported Features

  • File Writer
  • File Reader (iterating via records or blocks)
  • Schemaless Writer
  • Schemaless Reader
  • JSON Writer
  • JSON Reader
  • Codecs (Snappy, Deflate, Zstandard, Bzip2, LZ4, XZ)
  • Schema resolution
  • Aliases
  • Logical Types
  • Parsing schemas into the canonical form
  • Schema fingerprinting

Missing Features

  • Anything involving Avro's RPC features

Documentation

Documentation is available at http://fastavro.readthedocs.io/en/latest/

Installing

fastavro is available both on PyPI

pip install fastavro

and on conda-forge conda channel.

conda install -c conda-forge fastavro

Contributing

  • 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.
  • Get approval from discussing on the GitHub issue before opening the pull request
  • Tests must be passing for pull request to be considered

Developer requirements can be installed with pip install -r developer_requirements.txt. If those are installed, you can run the tests with ./run-tests.sh. If you have trouble installing those dependencies, you can run docker build . to run the tests inside a Docker container. This won't test on all versions of Python or on PyPy, so it's possible to still get CI failures after making a pull request, but we can work through those errors if/when they happen. .run-tests.sh only covers the Cython tests. In order to test the pure Python implementation, comment out python setup.py build_ext --inplace and re-run.

NOTE: Some tests might fail when running the tests locally. An example of this is this codec tests. If the supporting codec library is not available, the test will fail. These failures can be ignored since the tests will on pull requests and will be run in the correct environments with the correct dependencies set up.

Releasing

We release both to PyPI and to conda-forge.

We assume you have twine installed and that you've created your own fork of fastavro-feedstock.

  • Make sure the tests pass
  • Run make tag
  • Wait for all artifacts to be built and published the the Github release
  • Run make publish
  • The conda-forge PR should get created and merged automatically

Changes

See the ChangeLog

Contact

Project Home

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for scottbelden from gravatar.com scottbelden Avatar for tebeka from gravatar.com tebeka

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Miki Tebeka
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

1.9.7

1.9.6

1.9.5

1.9.4

1.9.3

This version

1.9.2

1.9.1

1.9.0

1.8.4

1.8.3

1.8.2

1.8.1

1.8.0

1.7.4

1.7.3

1.7.2

1.7.1

1.7.0

1.6.1

1.6.0

1.5.4

1.5.3

1.5.2

1.5.1

1.5.0

1.4.12

1.4.11

1.4.10

1.4.9

1.4.8

1.4.7

1.4.6

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.1

1.1.0

1.0.0.post1

1.0.0 yanked

Reason this release was yanked:

Missing python_requires to prevent Python 2 users from installing

0.24.2

0.24.1

0.24.0

0.23.6

0.23.5

0.23.4

0.23.3

0.23.2

0.23.1

0.23.0

0.22.13

0.22.12

0.22.11

0.22.10

0.22.9

0.22.8

0.22.7

0.22.6

0.22.5

0.22.4

0.22.3

0.22.2

0.22.1

0.22.0

0.21.24

0.21.23

0.21.22

0.21.21

0.21.20

0.21.19

0.21.18

0.21.17

0.21.16

0.21.15

0.21.14

0.21.13

0.21.12

0.21.11

0.21.10

0.21.9

0.21.8

0.21.7

0.21.6

0.21.5

0.21.4

0.21.3

0.21.2

0.21.1

0.21.0

0.21.0rc1 pre-release

0.20.0

0.19.9

0.19.8

0.19.7

0.19.6

0.19.5

0.19.4

0.19.3

0.19.2

0.19.1

0.19.0

0.18.2

0.18.1

0.18.0

0.17.10

0.17.9

0.17.8

0.17.7

0.17.6

0.17.5

0.17.4

0.17.3

0.17.2

0.17.1

0.17.0

0.16.7

0.16.6

0.16.5

0.16.4

0.16.3

0.16.1

0.14.11

0.14.10

0.14.9

0.14.8

0.14.7

0.14.6

0.14.5

0.14.3

0.14.2

0.14.1

0.14.0

0.13.0

0.12.2

0.12.1

0.12.0

0.11.1

0.11.0

0.10.2

0.10.1

0.9.11

0.9.10

0.9.9

0.9.8

0.9.7

0.9.6

0.9.5

0.9.4

0.9.3

0.9.2

0.9.1

0.9.0

0.8.8

0.8.7

0.8.6

0.8.5

0.8.4

0.8.3

0.8.2

0.8.1

0.8.0

0.7.10

0.7.9

0.7.8

0.7.7

0.7.6

0.7.5

0.7.4

0.7.3

0.7.2

0.7.1

0.7.0

0.6.10

0.6.9

0.6.8

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.0

0.4.2

0.4.1

0.4.0

0.3.2

0.3.1

0.3.0

0.2.2

0.2.1

0.2.0

0.1.0

Download files

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

Source Distribution

fastavro-1.9.2.tar.gz (976.9 kB view details)

Uploaded Source

Built Distributions

fastavro-1.9.2-cp312-cp312-win_amd64.whl (486.8 kB view details)

Uploaded CPython 3.12 Windows x86-64

fastavro-1.9.2-cp312-cp312-musllinux_1_1_x86_64.whl (3.3 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ x86-64

fastavro-1.9.2-cp312-cp312-musllinux_1_1_aarch64.whl (3.3 MB view details)

Uploaded CPython 3.12 musllinux: musl 1.1+ ARM64

fastavro-1.9.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.3 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

fastavro-1.9.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.3 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

fastavro-1.9.2-cp312-cp312-macosx_10_9_universal2.whl (1.1 MB view details)

Uploaded CPython 3.12 macOS 10.9+ universal2 (ARM64, x86-64)

fastavro-1.9.2-cp311-cp311-win_amd64.whl (498.9 kB view details)

Uploaded CPython 3.11 Windows x86-64

fastavro-1.9.2-cp311-cp311-musllinux_1_1_x86_64.whl (3.4 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

fastavro-1.9.2-cp311-cp311-musllinux_1_1_aarch64.whl (3.3 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARM64

fastavro-1.9.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

fastavro-1.9.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

fastavro-1.9.2-cp311-cp311-macosx_10_9_universal2.whl (1.1 MB view details)

Uploaded CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

fastavro-1.9.2-cp310-cp310-win_amd64.whl (496.7 kB view details)

Uploaded CPython 3.10 Windows x86-64

fastavro-1.9.2-cp310-cp310-musllinux_1_1_x86_64.whl (3.1 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

fastavro-1.9.2-cp310-cp310-musllinux_1_1_aarch64.whl (3.0 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

fastavro-1.9.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

fastavro-1.9.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.0 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

fastavro-1.9.2-cp310-cp310-macosx_11_0_x86_64.whl (590.3 kB view details)

Uploaded CPython 3.10 macOS 11.0+ x86-64

fastavro-1.9.2-cp39-cp39-win_amd64.whl (545.9 kB view details)

Uploaded CPython 3.9 Windows x86-64

fastavro-1.9.2-cp39-cp39-musllinux_1_1_x86_64.whl (3.0 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

fastavro-1.9.2-cp39-cp39-musllinux_1_1_aarch64.whl (3.0 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

fastavro-1.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

fastavro-1.9.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.0 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

fastavro-1.9.2-cp39-cp39-macosx_11_0_x86_64.whl (590.7 kB view details)

Uploaded CPython 3.9 macOS 11.0+ x86-64

fastavro-1.9.2-cp38-cp38-win_amd64.whl (549.6 kB view details)

Uploaded CPython 3.8 Windows x86-64

fastavro-1.9.2-cp38-cp38-musllinux_1_1_x86_64.whl (3.3 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

fastavro-1.9.2-cp38-cp38-musllinux_1_1_aarch64.whl (3.3 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

fastavro-1.9.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

fastavro-1.9.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

fastavro-1.9.2-cp38-cp38-macosx_11_0_x86_64.whl (590.9 kB view details)

Uploaded CPython 3.8 macOS 11.0+ x86-64

File details

Details for the file fastavro-1.9.2.tar.gz.

File metadata

  • Download URL: fastavro-1.9.2.tar.gz
  • Upload date:
  • Size: 976.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for fastavro-1.9.2.tar.gz
Algorithm Hash digest
SHA256 5c1ffad986200496bd69b5c4748ae90b5d934d3b1456f33147bee3a0bb17f89b
MD5 4ff815fb942c2d4517c1276f41580d17
BLAKE2b-256 843ce960e7e292e3e89b939bd69b2426db076d1945b8cff26a58cf40637544c1

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: fastavro-1.9.2-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 486.8 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for fastavro-1.9.2-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 43f09d100a26e8b59f30dde664d93e423b648e008abfc43132608a18fe8ddcc2
MD5 6ae9aa0f6f92c23de2555fd79230e01c
BLAKE2b-256 7984c4ef91179311db4c8155199981c2712c0c3f58cb2610cdb43d2127c585cc

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp312-cp312-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp312-cp312-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 cd003ddea5d89720194b6e57011c37221d9fc4ddc750e6f4723516eb659be686
MD5 7f8e99953a030896aaa08a5cb782c83b
BLAKE2b-256 1e58f8bd8695b53891ff1a039e7ad224f7c4d3fc431a98190bfb8383af694936

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp312-cp312-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp312-cp312-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 6278b93cdd5bef1778c0232ce1f265137f90bc6be97a5c1dd7e0d99a406c0488
MD5 8f085d244a389597ca152d6d562bacc1
BLAKE2b-256 437576953c56cc1c821df83e57c0e16dfe4fa690e1603e8889348f3ece40cba5

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 65e61f040bc9494646f42a466e9cd428783b82d7161173f3296710723ba5a453
MD5 c416cebc54a3b0963f6b2a7e59b6488c
BLAKE2b-256 06c24e9543c997c5ad38871d13c8d78bc3425547b3d173909fb9ab422e85d578

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 db62d9b8c944b8d9c481e5f980d5becfd034bdd58c72e27c9333bd504b06bda0
MD5 3db97907f8f4d71835392fdf0c850b51
BLAKE2b-256 63ac28c6e11e062b2a2dc71f7f6bdd2b5cf9e06b6cc72e53e71d44537b0fe268

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp312-cp312-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp312-cp312-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 c82b0761503420cd45f7f50bc31975ac1c75b5118e15434c1d724b751abcc249
MD5 3c69fb94829a7377c0d01d7b2006424c
BLAKE2b-256 1aa565ef84d856e51a7c20adf702ef7877932cd84bd7c8ba6565c34109a7eea6

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: fastavro-1.9.2-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 498.9 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for fastavro-1.9.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 ec600eb15b3ec931904c5bf8da62b3b725cb0f369add83ba47d7b5e9322f92a0
MD5 44f9169463ca31e690602d989092d2c0
BLAKE2b-256 c738699496c2309dee9e62e3b4748fd93751fac8d4880bdaf4cf12a04498e94b

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 d574bc385f820da0404528157238de4e5fdd775d2cb3d05b3b0f1b475d493837
MD5 b824d62e4ece79827eb6c4af72ce4850
BLAKE2b-256 418363d8f7318986df5bddeeb7c1fb61a55b9313906dff8a8e1b92bf4b488595

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp311-cp311-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 6167f9bbe1c5a28fbc2db767f97dbbb4981065e6eeafd4e613f6fe76c576ffd4
MD5 1700c09fb13854b0ca1e0ceccefea1ac
BLAKE2b-256 97e6538d166911ca36b56a3268e091d7bf78659ce018673c82623129130643f8

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9f4a2a4bed0e829f79fa1e4f172d484b2179426e827bcc80c0069cc81328a5af
MD5 1ef5c11ac6017ba931ac7679a553157f
BLAKE2b-256 059f5ab83b6822d830595531130daafd59fb9bb3099c303e39cf64c715bbca43

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 46458f78b481c12db62d3d8a81bae09cb0b5b521c0d066c6856fc2746908d00d
MD5 278c6b67efa74cc7b5430f7ce162308c
BLAKE2b-256 569f101598628934b871119e960e1367601e9d3d4250dfd2137a3078d2db5ae6

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 887c20dc527a549764c91f9e48ece071f2f26d217af66ebcaeb87bf29578fee5
MD5 3fddd1a6d03fbe7a53f3fb8d84946ee9
BLAKE2b-256 91c54cf8e81f92bcbc44c31de9e44a12eed5cd2f92704bea0fc2122ab4a38f3c

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: fastavro-1.9.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 496.7 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for fastavro-1.9.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 b59a1123f1d534743af33fdbda80dd7b9146685bdd7931eae12bee6203065222
MD5 3be07c8f8745d1bc4a332df6bcf40e46
BLAKE2b-256 03635025aa74c10936d2d6c0becce125a5ce5add56b77de43ce260e7eaa536bd

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 68478a1b8a583d83ad6550e9dceac6cbb148a99a52c3559a0413bf4c0b9c8786
MD5 1e780ba154025ed8a70cbc58fad46588
BLAKE2b-256 627be4c6a2d35a57e9dc3487a4cc6c3546f4b194f80081444d4a95ac03559b75

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 7a7caadd47bdd04bda534ff70b4b98d2823800c488fd911918115aec4c4dc09b
MD5 fbf0804546110e10996287be4f6c8685
BLAKE2b-256 4c91c00a27897ef858537a5c5d14911175f2974e47a1e7bc8d29101e8911463f

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 394f06cc865c6fbae3bbca323633a28a5d914c55dc2c1cdefb75432456ef8f6f
MD5 b33f130e93b103233ffbae260a29bb2b
BLAKE2b-256 96afa7a4751677b0a27d159d81d7418959983e02bc7879d813aa7944eff3a437

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e08c9be8c6f7eed2cf30f8b64d50094cba38a81b751c7db9f9c4be2656715259
MD5 1fdbef77a247f5574260fca6c19c691c
BLAKE2b-256 f43b67beafe461a0f179786aaea5608eac24dddce2e1cc3bf94a51deef17f652

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 223cecf135fd29b83ca6a30035b15b8db169aeaf8dc4f9a5d34afadc4b31638a
MD5 a7075914d31069f45863a162830eddf0
BLAKE2b-256 13bfa4ae17bb41948dc61f9b1d36c39271d315f59f6fa22c7f152a3cbf8c1c5d

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: fastavro-1.9.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 545.9 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for fastavro-1.9.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 d33e40f246bf07f106f9d2da68d0234efcc62276b6e35bde00ff920ea7f871fd
MD5 1a9a3832b6cffff538ec56bda5bb2cb1
BLAKE2b-256 0c2cb052c8c157e6805eb6e66f0186f817025c2d5f867bd9686093c2a3b709d9

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 39b6b5c3cda569c0a130fd2d08d4c53a326ede7e05174a24eda08f7698f70eda
MD5 e2b4e4e331ebb500172edb6699024c7c
BLAKE2b-256 47ac1e6407f88655a691004c62d3e880f4d4fce61f048a381235cffbc7970629

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 581036e18661f045415a51ad528865e1d7ba5a9690a3dede9e6ea50f94ed6c4c
MD5 e94a7b3bb8de015cf3d0ab902e63ad34
BLAKE2b-256 1a3150ffe5b2690f3b59ddf83ba89c8bb1d106c7af061bdb8f6f1f1ce9c6386d

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5ce336c59fb40fdb8751bda8cc6076cfcdf9767c3c107f6049e049166b26c61f
MD5 0a75373ad2114565e6184aa60e67dc89
BLAKE2b-256 8ab226155d31871acc622fb4eb2cf442ac58d7aa25f55adfb2ce23c05af540a8

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b69aeb0d063f5955a0e412f9779444fc452568a49db75a90a8d372f9cb4a01c8
MD5 6fccd1d511ba9273eb5f827ac8e75178
BLAKE2b-256 64234cf728f6ba87398c76c3a97eb0a84262d80ae279f7449cc373c16995df1d

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 d5fa48266d75e057b27d8586b823d6d7d7c94593fd989d75033eb4c8078009fb
MD5 b17aad68e3072ac706cbeb97f4e0a33d
BLAKE2b-256 9435db6613fcd94288df6347f595bc3b7290790531d8f59f651a785989fbeb22

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: fastavro-1.9.2-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 549.6 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.0

File hashes

Hashes for fastavro-1.9.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 beeef2964bbfd09c539424808539b956d7425afbb7055b89e2aa311374748b56
MD5 9712a51add2c615f64fe846f366f1bfb
BLAKE2b-256 3dbecaa48e33e1bbd337549dfe5b6af8cbecc81a4d6bdb813ec3ff701a228ba9

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 bba73e9a1822162f1b3a43de0362f29880014c5c4d49d63ad7fcce339ef73ea2
MD5 6a286279eb097efc814b7c2dbfb95ca8
BLAKE2b-256 e1359d485b1555f4b34de26305ed9bae5a02f27f3e51e50bd0905d2743df0563

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 c652dbe3f087c943a5b89f9a50a574e64f23790bfbec335ce2b91a2ae354a443
MD5 1311f57c6336bf712e5713fbf127bab4
BLAKE2b-256 b70ce7b1ab04851161796af4834d154b3a01cd2fcd993904d0149b1da80cc044

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5fd2e8fd0567483eb0fdada1b979ad4d493305dfdd3f351c82a87df301f0ae1f
MD5 d6f24c8d24a4f51e891d66094d0a07b9
BLAKE2b-256 9b1499e71c7f01252c2cac5567541cf08d5b1fb15e4cb74ac9386d89531d66f4

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4e75a2b2ec697d2058a7d96522e921f03f174cf9049ace007c24be7ab58c5370
MD5 882a18d639bc949e1900805fe279b7af
BLAKE2b-256 9830e845c45c91bb342d41ccb67307f9b40873fda3ce37eef660f7907f0bbaaf

See more details on using hashes here.

File details

Details for the file fastavro-1.9.2-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.9.2-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 3ddffeff5394f285c69f9cd481f47b6cf62379840cdbe6e0dc74683bd589b56e
MD5 82bada4ed5747730d91fed8b15caab51
BLAKE2b-256 fb0ae723c04b00316d0a91ffeaa376ad0e2dba6a190cc25359a4a53c7e7462c0

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