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 >=3.7
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 3.7
  • Python 3.8
  • Python 3.9
  • Python 3.10
  • Python 3.11
  • 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 >=3.7
Classifiers

Release history Release notifications | RSS feed

1.9.7

1.9.6

1.9.5

1.9.4

1.9.3

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

This version

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-1.7.3.tar.gz (791.3 kB view details)

Uploaded Source

Built Distributions

fastavro-1.7.3-cp311-cp311-win_amd64.whl (406.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

fastavro-1.7.3-cp311-cp311-musllinux_1_1_x86_64.whl (2.8 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ x86-64

fastavro-1.7.3-cp311-cp311-musllinux_1_1_aarch64.whl (2.8 MB view details)

Uploaded CPython 3.11 musllinux: musl 1.1+ ARM64

fastavro-1.7.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.9 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

fastavro-1.7.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.8 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

fastavro-1.7.3-cp311-cp311-macosx_10_9_universal2.whl (916.5 kB view details)

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

fastavro-1.7.3-cp310-cp310-win_amd64.whl (409.5 kB view details)

Uploaded CPython 3.10 Windows x86-64

fastavro-1.7.3-cp310-cp310-musllinux_1_1_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ x86-64

fastavro-1.7.3-cp310-cp310-musllinux_1_1_aarch64.whl (2.6 MB view details)

Uploaded CPython 3.10 musllinux: musl 1.1+ ARM64

fastavro-1.7.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

fastavro-1.7.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

fastavro-1.7.3-cp310-cp310-macosx_11_0_x86_64.whl (518.6 kB view details)

Uploaded CPython 3.10 macOS 11.0+ x86-64

fastavro-1.7.3-cp39-cp39-win_amd64.whl (457.6 kB view details)

Uploaded CPython 3.9 Windows x86-64

fastavro-1.7.3-cp39-cp39-musllinux_1_1_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ x86-64

fastavro-1.7.3-cp39-cp39-musllinux_1_1_aarch64.whl (2.7 MB view details)

Uploaded CPython 3.9 musllinux: musl 1.1+ ARM64

fastavro-1.7.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

fastavro-1.7.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.7 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

fastavro-1.7.3-cp39-cp39-macosx_11_0_x86_64.whl (530.3 kB view details)

Uploaded CPython 3.9 macOS 11.0+ x86-64

fastavro-1.7.3-cp38-cp38-win_amd64.whl (457.9 kB view details)

Uploaded CPython 3.8 Windows x86-64

fastavro-1.7.3-cp38-cp38-musllinux_1_1_x86_64.whl (2.9 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ x86-64

fastavro-1.7.3-cp38-cp38-musllinux_1_1_aarch64.whl (2.9 MB view details)

Uploaded CPython 3.8 musllinux: musl 1.1+ ARM64

fastavro-1.7.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

fastavro-1.7.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.7 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

fastavro-1.7.3-cp38-cp38-macosx_10_15_x86_64.whl (526.1 kB view details)

Uploaded CPython 3.8 macOS 10.15+ x86-64

fastavro-1.7.3-cp37-cp37m-win_amd64.whl (443.2 kB view details)

Uploaded CPython 3.7m Windows x86-64

fastavro-1.7.3-cp37-cp37m-musllinux_1_1_x86_64.whl (2.4 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ x86-64

fastavro-1.7.3-cp37-cp37m-musllinux_1_1_aarch64.whl (2.4 MB view details)

Uploaded CPython 3.7m musllinux: musl 1.1+ ARM64

fastavro-1.7.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.4 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

fastavro-1.7.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.4 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

fastavro-1.7.3-cp37-cp37m-macosx_10_15_x86_64.whl (514.8 kB view details)

Uploaded CPython 3.7m macOS 10.15+ x86-64

File details

Details for the file fastavro-1.7.3.tar.gz.

File metadata

  • Download URL: fastavro-1.7.3.tar.gz
  • Upload date:
  • Size: 791.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0

File hashes

Hashes for fastavro-1.7.3.tar.gz
Algorithm Hash digest
SHA256 8b08bd3cba45830b64adda32ccc5b027a71b6941a99cc39f90d7019a7986cc19
MD5 2ee24fb78d141066213a771613f7f9d8
BLAKE2b-256 f3d001116df6875ed4d25e6693ec6c60ebebcb566a84462c6e1f3b83bec10171

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: fastavro-1.7.3-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 406.7 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0

File hashes

Hashes for fastavro-1.7.3-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 a727e07007230267e25702d5f3738854cb315747fc58b84839699db30dedf490
MD5 ce56dc23357bee6ce9b30309e2dd1fe2
BLAKE2b-256 6170f4e1324d927e1e47fec12d7b088469e355bc87e8000be5bbd670f5f3680d

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp311-cp311-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp311-cp311-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 2f95c767bf97e896640f24d58931b3a19df3d84ccaf0606c92e603c79de60f16
MD5 653a666bf9f4891f37be75ad98c12b5c
BLAKE2b-256 12607566e83f743d5f07ed6499c0aec4f38bd48c46907b7d0d298b78a224b81a

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp311-cp311-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp311-cp311-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 04740e2dd27084b4155337d082f2a232cf1d801a1b009f772e50c8306a8f8aaf
MD5 3f24e38097e52552ea2515a6652dad51
BLAKE2b-256 a90eecb3c43c95bd9e6969ff860e1a565212ea32d0cb3dd79685f45fb3852b46

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b6b0e58e7dd34906d21738c3461cddef760de3b7845779169a378b2757afa693
MD5 bc2b9b7df5915a6b9be65a282fb47140
BLAKE2b-256 9375d69003de30f40ba00d4f6675c027c0d62137afc865a937e710a8a401888d

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f4706a77038bf31ad2e8cc752a0c007894bd39ffb0b775c7824113743182c5f6
MD5 f8265a8aa82b7a03bbb2672315331419
BLAKE2b-256 6be312b891d0a69bebc3439c9cab41c4379f612944e4354e81b3046bd028bbaf

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 5dd5299cbc5bc2aa15f1c619f4cc55c054c6fe9ccd614f93eb1d6ab22cf314dd
MD5 e7c49dfb8fc34c20320f9465f5786b79
BLAKE2b-256 5d0210f6183e558cb24d19f6559992c5480ec886ddb542bc73edae766fa02ac3

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: fastavro-1.7.3-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 409.5 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0

File hashes

Hashes for fastavro-1.7.3-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 22d6f3e73f471e2b4ba0785cb60df939792e8904db4ba93037ba6b7858f7d6f9
MD5 1b5c63488bfba9e6af606da61600aabf
BLAKE2b-256 3555e153f3dd0a498b731e5ef98f6cc900cfe7334c9e655c2a06151c6d5309e4

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp310-cp310-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp310-cp310-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 52ba6bb5525561df577ebd94819784626caac9d8ad2ed167030403ba1bf73159
MD5 d5dd33c752ec59e2de84bafb5e1f13b8
BLAKE2b-256 4e1af4b87c17f7c264038289680e878269867f9a8a5fef32069d3254b43871c8

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp310-cp310-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp310-cp310-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 e20db96b092d7b6208f3063a424d35bb48c283e2d8b4e7ad4ee6541dc1fac2ed
MD5 b4a08fd4748e8a3352293d897996858c
BLAKE2b-256 80b79cfae68ae35b5a44f2c6c80b00305a4996a3808b61d2d20ee6d8098465ed

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9a0ba2f43844eb784f8abf5324a0c10474287beaecb14fb736e47136464e3044
MD5 aa2eb7ec2cf913eba60d553c29c6d151
BLAKE2b-256 2c8e75f16898cdcc9922420e5d07ddc4ba5ef59bb0b3c0ad43c3cd5a7c14008d

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b2e6d8bb79e53dc39e620c777f14b5f7122f1bf21309a9fcf60085f8e062e49c
MD5 32ea99cf63060c17e5c0751d7104255e
BLAKE2b-256 8a785620543287f7ef113b9eec3a40e70409e54e79f10085f0c04a039552cfbd

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 10a5ac9d8c66d4ba24f25ad7313e2dab56d98ceebcf53ba9cfa88acdd135c794
MD5 7cc212b7bb0a48adf1751a8efadd4d88
BLAKE2b-256 e03de7ffb5cf632ec47bc9313ded3f0429994a193517053e3676fd6d5cc4b4a2

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: fastavro-1.7.3-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 457.6 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0

File hashes

Hashes for fastavro-1.7.3-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 7d525f3f99cc49a5e245e08d7ab947195a18cbdd5c43af75c0989fbe14a32597
MD5 8f6fcd582505cdfbb60a9bb438e536f3
BLAKE2b-256 ce3fb8734fc4048050a5b9081b4a9f5b2f611146829c061b5f26849095508b23

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp39-cp39-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp39-cp39-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 dc1e88d5db17e7ebc3fc764a1091f6c05a42e3cb0e2c8eaf49126743c7ca1bb5
MD5 e37d9b19bc9aa093ac7039c3dd50b46d
BLAKE2b-256 a3350145eec80d368e7417cdcedb18f64f6eaf711f5f7e6d11e4adefbd1f1f40

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp39-cp39-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp39-cp39-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 08bfd749cce456f925203895d6732f6b68c973d63ff886733f27db3c2d3c0b9a
MD5 4b4afb7ec6c64ce8d7fcef92844a7f1e
BLAKE2b-256 2cb8f9ff7e8a1c44af34d3fa39ad24310ce417077652e1e859298d631d0cba91

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b82a71a6c014ec5d03293d8dc8b698220380266d5503779fd3712a94e4497069
MD5 511faecf5b17c0fbdc8ac6138b3615c4
BLAKE2b-256 b1712c77c26ba5e77ef71807931ca1cabb0d795b06297a631cbc46d14f45d85d

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 127e928604753d845fa0f2ae758c1640215ff901a5ce20cdf7e9f154500c3212
MD5 720f8a47bd486ed508313b187f2293ac
BLAKE2b-256 7a8e093a45f053ae982cd1ee13a30a77edbc91c4c4383969f339a07a57f8f8d4

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 8c45f7fdfab351431d106f5981fdc2313a8cbfdb82d2b1172b2a144bfba376b7
MD5 5ad05f0d5f2472657059954370c768ab
BLAKE2b-256 65ea756aa39d16505f5028d1f762fe5b42210f3a782341c46fab65f0763cc13e

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: fastavro-1.7.3-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 457.9 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0

File hashes

Hashes for fastavro-1.7.3-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 fb3879aaeb3b56ee5b3a22ffa11cbdf4ba65c04be4688ee8bd152aa6535a00ee
MD5 a4797e2e72f78cec44eadd30f4e86b7c
BLAKE2b-256 8d03f1bae2fd32dfce552f36f722fce0ff6e5c9bd6a275a4f4da486b57ee0cb9

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp38-cp38-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp38-cp38-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 cc98be4ad3d8fb9000abeeae0ecb0f8e62ec7898b791da5ec2f6de81dd2a73e2
MD5 d126829716bd1c0c35213c5a3ea0b376
BLAKE2b-256 e62509ced33c26ed63614c92d490c11c715f77de553b1d788084eb8102e3111b

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp38-cp38-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp38-cp38-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 207bc7663133ca766eaf9033806da4cf08071dacf2e9779aa9427df40815f846
MD5 8a40bd8581430cc8bef7d5bd1b4bb76f
BLAKE2b-256 235b7d1902c434c2dc86a16129bbf73613f5d6d81f8431bd89aa7ac3f1588152

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c52e4a1b05306f82916eacf83c732a4637a5be748bc2ef2ff6fed1506535d692
MD5 c73105bf3b2a5f053a1888ee056c01dc
BLAKE2b-256 69597ae515d25688120f4395b2cab3293e3c099a4ecca6ad12bbdf956feb42c9

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7b176d5731f336c2c9c88d95225f71f862b2512c33ef917b1fe7f87379cc92fd
MD5 98acde76ca7e6c5207294d1b82e9732e
BLAKE2b-256 0b5c6f0c9243036f50617eca5510eb9323255216b2c4b95e4ec907837a08dfa7

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp38-cp38-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp38-cp38-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 a007151cc2a08e61dd5ea5b48989849d056a8d63b04d7e6799c36fdf0b702bf4
MD5 9c4efef4f8a1c3d84b720836716b2367
BLAKE2b-256 01647c333adf2c1dec88bb295cd2a573c6b9ca8027cccd3f0cfbff98c6e06230

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: fastavro-1.7.3-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 443.2 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.0

File hashes

Hashes for fastavro-1.7.3-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 b86d1c1188ec47aeb76d6195e36ab52665984e8e98f69a224ab550c82991fe07
MD5 69d1f18e72d33dbd6f36133e92a209ba
BLAKE2b-256 65fc7dc4d558e0ef04f10540888cc5f537085b156ad18ccb5eef6fae58592032

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp37-cp37m-musllinux_1_1_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp37-cp37m-musllinux_1_1_x86_64.whl
Algorithm Hash digest
SHA256 e5d0f16b85104aa0e2899a47c186be1082a10cecf6b331571afa92a4b8e6061a
MD5 e1fec18009b9d717acc12104a9c1796f
BLAKE2b-256 a8da2a00a9e5f41bc5f8c99cc0349f32c0fd3fbc5c742b8abd2a5f707a4dd1e3

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp37-cp37m-musllinux_1_1_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp37-cp37m-musllinux_1_1_aarch64.whl
Algorithm Hash digest
SHA256 cd10bffc26457402da9727663de71c40dd717d90e8ab3d3b893bc227cad5e410
MD5 8693b620769c27a3ff2dc4ec159a327c
BLAKE2b-256 76d19a7006f55f78b17e07863e8f964c14ba68cab959bfa08a8c9744c46b7ff1

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9e2ba001864607b46fc2f6124d690731b19db215a84751c4b3b155e70b615d05
MD5 f7a32d67758f0ddbc06951a7f9fe3d09
BLAKE2b-256 8aff5afe9cc4758de52e9ac9c1f37bfd8032802a69db7f52f0e0bd054ae89429

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d1a62c359f4c9472c3ebe2be478e203ff434cc1d6bebaf61181a4a121c0899a6
MD5 43cd24f3ed6f65a0968bcce2fd6a18be
BLAKE2b-256 c3226daf1098e8a0b915ab5b6dfc190bf8c462b25464f66d124b6421b6f52f1c

See more details on using hashes here.

File details

Details for the file fastavro-1.7.3-cp37-cp37m-macosx_10_15_x86_64.whl.

File metadata

File hashes

Hashes for fastavro-1.7.3-cp37-cp37m-macosx_10_15_x86_64.whl
Algorithm Hash digest
SHA256 da71b9db7718f4682cc11e0f25b5e395d5f3bc17ddaf0224f39be3bac5309cfa
MD5 e14ffa3bd8faad2eb54350c6bb37a2e9
BLAKE2b-256 efd051bc8feb9bd6a6547613e0d3a9884ff5065a239898cc8ebbaa09a898e2d2

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