Skip to main content

Easy-to-use, fast, simple multi-platform approximate nearest-neighbor search library.

Project description

The word Voyager_in blue, with a multicoloured graphic illustrating an orbit to its left.

License: Apache 2.0 Documentation Supported Platforms Apple Silicon support for macOS and Linux (Docker) Test Badge

Voyager is a library for performing fast approximate nearest-neighbor searches on an in-memory collection of vectors.

Voyager features bindings to both Python and Java, with feature parity and index compatibility between both languages. It uses the HNSW algorithm, based on the open-source hnswlib package, with numerous features added for convenience and speed. Voyager is used extensively in production at Spotify, and is queried hundreds of millions of times per day to power numerous user-facing features.

Think of Voyager like Sparkey, but for vector/embedding data; or like Annoy, but with much higher recall. It got its name because it searches through (embedding) space(s), much like the Voyager interstellar probes launched by NASA in 1977.

Python Documentation Java Documentation

Installation

Python

pip install voyager

Java

Add the following artifact to your pom.xml:

<dependency>
  <groupId>com.spotify</groupId>
  <artifactId>voyager</artifactId>
  <version>2.0.4</version>
</dependency>

You can find the latest version on Voyager's Releases page.

Scala

Add the following artifact to your build.sbt:

"com.spotify" % "voyager" % "2.0.4"

You can find the latest version on Voyager's Releases page.

Compatibility

OS Language Version x86_64 (Intel) arm64 (ARM)
Linux Python 3.7
Linux Python 3.8
Linux Python 3.9
Linux Python 3.10
Linux Python 3.11
Linux Python 3.12
Linux Java 8-16+
macOS Python 3.7
macOS Python 3.8
macOS Python 3.9
macOS Python 3.10
macOS Python 3.11
macOS Python 3.12
macOS Java 8-16+
Windows Python 3.7
Windows Python 3.8
Windows Python 3.9
Windows Python 3.10
Windows Python 3.11
Windows Python 3.12
Windows Java 8-16+

Contributing

Contributions to voyager are welcomed! See CONTRIBUTING.md for details.

License

Voyager is copyright 2022-2024 Spotify AB.

Voyager is licensed under the Apache 2 License.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

voyager-2.0.8-cp312-cp312-win_amd64.whl (202.3 kB view details)

Uploaded CPython 3.12 Windows x86-64

voyager-2.0.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

voyager-2.0.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.2 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

voyager-2.0.8-cp312-cp312-macosx_11_0_arm64.whl (360.0 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

voyager-2.0.8-cp312-cp312-macosx_10_13_x86_64.whl (381.8 kB view details)

Uploaded CPython 3.12 macOS 10.13+ x86-64

voyager-2.0.8-cp312-cp312-macosx_10_13_universal2.whl (739.9 kB view details)

Uploaded CPython 3.12 macOS 10.13+ universal2 (ARM64, x86-64)

voyager-2.0.8-cp311-cp311-win_amd64.whl (201.1 kB view details)

Uploaded CPython 3.11 Windows x86-64

voyager-2.0.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

voyager-2.0.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

voyager-2.0.8-cp311-cp311-macosx_11_0_arm64.whl (360.5 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

voyager-2.0.8-cp311-cp311-macosx_10_13_x86_64.whl (380.2 kB view details)

Uploaded CPython 3.11 macOS 10.13+ x86-64

voyager-2.0.8-cp311-cp311-macosx_10_13_universal2.whl (738.8 kB view details)

Uploaded CPython 3.11 macOS 10.13+ universal2 (ARM64, x86-64)

voyager-2.0.8-cp310-cp310-win_amd64.whl (200.2 kB view details)

Uploaded CPython 3.10 Windows x86-64

voyager-2.0.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

voyager-2.0.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

voyager-2.0.8-cp310-cp310-macosx_11_0_arm64.whl (358.9 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

voyager-2.0.8-cp310-cp310-macosx_10_13_x86_64.whl (379.2 kB view details)

Uploaded CPython 3.10 macOS 10.13+ x86-64

voyager-2.0.8-cp310-cp310-macosx_10_13_universal2.whl (735.4 kB view details)

Uploaded CPython 3.10 macOS 10.13+ universal2 (ARM64, x86-64)

voyager-2.0.8-cp39-cp39-win_amd64.whl (196.8 kB view details)

Uploaded CPython 3.9 Windows x86-64

voyager-2.0.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

voyager-2.0.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

voyager-2.0.8-cp39-cp39-macosx_11_0_arm64.whl (359.0 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

voyager-2.0.8-cp39-cp39-macosx_10_13_x86_64.whl (379.3 kB view details)

Uploaded CPython 3.9 macOS 10.13+ x86-64

voyager-2.0.8-cp39-cp39-macosx_10_13_universal2.whl (736.1 kB view details)

Uploaded CPython 3.9 macOS 10.13+ universal2 (ARM64, x86-64)

voyager-2.0.8-cp38-cp38-win_amd64.whl (200.3 kB view details)

Uploaded CPython 3.8 Windows x86-64

voyager-2.0.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

voyager-2.0.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

voyager-2.0.8-cp38-cp38-macosx_11_0_arm64.whl (358.8 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

voyager-2.0.8-cp38-cp38-macosx_10_13_x86_64.whl (379.2 kB view details)

Uploaded CPython 3.8 macOS 10.13+ x86-64

voyager-2.0.8-cp38-cp38-macosx_10_13_universal2.whl (735.4 kB view details)

Uploaded CPython 3.8 macOS 10.13+ universal2 (ARM64, x86-64)

voyager-2.0.8-cp37-cp37m-win_amd64.whl (200.3 kB view details)

Uploaded CPython 3.7m Windows x86-64

voyager-2.0.8-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.4 MB view details)

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

voyager-2.0.8-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.4 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

voyager-2.0.8-cp37-cp37m-macosx_10_13_x86_64.whl (374.3 kB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

File details

Details for the file voyager-2.0.8-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: voyager-2.0.8-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 202.3 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for voyager-2.0.8-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 0faddc26f3c419554b87f3ed0608e5ad1ca4fa7262c12ac518ab97b5d395a161
MD5 5fa515c438d4b563a8fe3150117e495b
BLAKE2b-256 7df653ca78536b6c108c189ec30efc52e5982e065ecc1255f30851a367a90f65

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3414dc906034e6df69cf48fb0f84e30ad80e18980edac4acb4bbbaf2deb1c674
MD5 52f7812d74bb9c7ba6b58f3cf5f4e970
BLAKE2b-256 b48ddd98af4bd328dd5558cc69a2ee1086e2bf831e5f6caabcf2a5908a17220d

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b93c3eda531890a5136cb00775cd4c7cea1e805caa5e17a7a4fdee80905a7ca0
MD5 eef76386581876c3e48ed4fe02a6b8a6
BLAKE2b-256 73cc411071bd383471769364e672449d0a1c9c45d7a03b0d2299877b38be0c35

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5be0dea9569bd08f00b7ced29f06e3a7d146553ced38e11363eae402d9d49984
MD5 88a22fdcb63a8d881c253ee78a015c1f
BLAKE2b-256 b66e42e1c6cfe18e0bc9116709913b83208aa03604b2d27f1b5c99c45443da59

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 95eb6938eff5a2568a2b18d0eca563a1160a79a228155de9a49f91a9ed7b3962
MD5 f39b79cf06ce52f2b9f03ef6ad6d6707
BLAKE2b-256 91bb7ea73ed0d67e20ff86a3c183f82ee70efb7ad849da23cde0e09daad94b3c

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp312-cp312-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp312-cp312-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 2ee25b51e0523d4f7b2548eca4e2fde2a1ac1d25c1b83818b2ebcaa57f5153a5
MD5 a4e2610ee1f40675b39e548af64e0acc
BLAKE2b-256 52a3774bdc10a80fa51b9ff1029de42e094e614720d93617c03bfe0aa56260f0

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: voyager-2.0.8-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 201.1 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for voyager-2.0.8-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 86ae8d1eeeda99853266735e8092ea192b7458076859c516a8c6a317b9d0241c
MD5 1797017f609fdf7394b618a1e539c0c3
BLAKE2b-256 758af7621533133f2c084cc08d6359eaf9bd7a6f150c0466088f239692ae7935

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ccf4506149645cea3bc9afc8a723fb19fa5c3ddca793b4b27ed45427bfdc8cff
MD5 19d3a5975e351e7522663a704578c424
BLAKE2b-256 499d6645df01bfe21ea9f83ed218f5968ad859978573797571de1710d78cebba

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 8543561a8e0b40e387e157722ed95bf48c66913d356e7bc227ede724494b92df
MD5 46093f562a97e17dfe270241461e54d8
BLAKE2b-256 670addcd7140550294108cc16b7efdb06d65a9ad9de166cc28f27c3110112a12

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5787aaa2377e9978d23146f11531e99e292e84587f1262dd7b9274fe871379c1
MD5 5bd5e49c082037b47f67376f57fd76f9
BLAKE2b-256 3e1e88fd789b37addb5a9d759989c0b2254a29f472df3627617b3d1643f51595

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp311-cp311-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp311-cp311-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 67f8790539952077711ba9edeec067023ac240147a30a6308546957f7b50d770
MD5 ea2ddb2f043e7ff1397df7df042c9f5c
BLAKE2b-256 092c0bf77712d2afa36c88a184deaca4d69d0eb26aa6bfc0ec1fd095e75f6a41

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp311-cp311-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp311-cp311-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 21cc5380c4bb51f0e8d15b39d9a4710f2a1bfb4d00ceff9678cdde5a5cb59be5
MD5 a8e08bdc91ee39b54f6ea03cfc104b79
BLAKE2b-256 6b7d1ba10c90b4c481e0c761b4016b28606e286adef5e2debdc6882859ba6cd2

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: voyager-2.0.8-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 200.2 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for voyager-2.0.8-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 02dbeb08e6fd0e36af39befc2e43aaa5de587954ccfa6480f3dadb46e6ce61ad
MD5 2edf4aab36760515ede8127d7e29502a
BLAKE2b-256 74fb12c15215ba6474a48bbf8c69d06639c9c20a37a8a99b4c410fb434a73409

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 795fbd9f07d7fbdb21dd0f7f4405454e8f82a5f7fe8903b9b48dc59fc49743cf
MD5 dc281fc1648b5418cb98c278dfd4ade8
BLAKE2b-256 90845336802f887be69c69194cadb09270fb02b94194fecb5df2e6b4ff238e66

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f8069a6acb6c5909d140a61f9d32e2f0ee27e41a76329724347a8f329ff2e438
MD5 be81a31027e027c7bde3d842d37846c1
BLAKE2b-256 28f6d8407306dec821e2d46582d2298b095301ea33db4b6ec797be5aafd5a771

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1a83065be9996a38224500257a9d1953820954a28ee2ee65a131f856dc384423
MD5 bfdcbf9e3446e62129600beab8da872b
BLAKE2b-256 9c9e9aada445025b6b1a81dda106cacacf345a5794293ac96c165293f3f88a1d

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp310-cp310-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp310-cp310-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 23d3c0c274a3cf51316c17192456a3579d1ac18e96432035774bb4ec5751b062
MD5 74e83a3aa7863f9167b3e5ab42fb0718
BLAKE2b-256 07663a458a473e97c2a444ee332e7d1925ead2eb42018881b5310e5e99cc1d19

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp310-cp310-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp310-cp310-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 5f0b798239302469d57d8fa2acc8ca8cb589edfcbd09b60c8cfc09043939886a
MD5 a6e1c7fc3cc1cc815ef026a7ae70b04d
BLAKE2b-256 76046fe4be82c23da3186e24067d56cf848d310669212aa26036eba0fbdaa517

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: voyager-2.0.8-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 196.8 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for voyager-2.0.8-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 1ea17b295167d9f68fc3f8243696a1e43ff21b131330b82fb5bff9c2b1a3a6a1
MD5 51b9eb5c2b0c3577c6ec5a99c2116c61
BLAKE2b-256 1351a1b09fa72f34084ccd5a81ba950d18ba365f7a01bbc6823668195ae09c41

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4ba3f23e986237387b2820f4ea20d5edd48e4de05974e6bd0ab300db8779242b
MD5 4f59d687fc7afc1be829491f295999d3
BLAKE2b-256 60b9c58e9a28c3911333b59b245d48403ff1e3804d81594cb57f258610b615b1

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 69da8bbd1e9bc5722206658f38676a99bf285e4b5a6a23d290b4c86458b2ca4b
MD5 01e920e38389718151d5f22cc26a7940
BLAKE2b-256 5b1910b904279113cb37dc4ade4c4d743460d0fe584425b767767bb697a181ee

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 b608624e12fccbf8202e3b5023c8c66d43a593c9ed39a2b6628587c1d98e0c29
MD5 f7d828385b136e9e1b5e46d27eb5dda6
BLAKE2b-256 da1bea59e66e5bf512fb74a7097b1ba3f74286e383ede6d7f9986dd59633e9b6

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp39-cp39-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp39-cp39-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 7c8044e986ff7d41fe85664ab6132bba4f285eb09aa5ca85c671f1ec4f5a6c28
MD5 2da31ff0e47a07ba03179c155a8ef7dd
BLAKE2b-256 02c9f807f646b3871d45ff17b5b1504c28a9bd4fd79dd36c0364c88d97ea5a71

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp39-cp39-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp39-cp39-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 651b275c8af0ec7a5d56a65f8ad3112eefc50b8452682fca826214fe718ae287
MD5 061aa8307ffd645c472ed6db718f9706
BLAKE2b-256 d72f1d3b570253a6f66ad0c081a5f0f46b6104511fa0cddf0ccd3a793529d2aa

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: voyager-2.0.8-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 200.3 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for voyager-2.0.8-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 52230cf3f31395b8475a1a413aabcbc5dbef026d233da2806eb51755fffea7cb
MD5 b13ba12a9ec6efada2618b1d6a2ff3f1
BLAKE2b-256 f9e3ad97568166507a0431168ee54ac36b50d917345f0e8b9a98c8ab93ce063a

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4a30a2238ed01a813ab3e56565e0ed8445a17d8d5bb0bd1a2e313f061f614868
MD5 c43ead120c8671517e375f519d280b13
BLAKE2b-256 4df0be2e1f62e148f310364d6768b3c9ae4c4311cd1901c3d4803a5e045d9a70

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 511fcb8f89884cd6225a1705609e4bf69330cb692717fbc2e8139c33c70e9ae4
MD5 aabaddcd70316d9b91b4503c3ea0f0ee
BLAKE2b-256 b9f964a5210ba334ae5aeeccafeecaad143e6a843a0536ae3bd9d28a1fa96a45

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 72fa2d16d4e12a745b88d23d0c0a1495b65a424c242b1cdee092e481a39e52f0
MD5 83e9f47abef2ba3b4c2cd9b42e62ac78
BLAKE2b-256 d84121d9bff048f1e72099186690df0754b63583a85a82fa9cda6cbca917b4a1

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 b5c89db883dd9f7cc63ea913ec44b65ae7dc01b82b40ae13adc4ba4d5822a4b4
MD5 fe1efde43860eb1a8e6bc7b9f152f4a6
BLAKE2b-256 6c0a28d8da3bd6937b1b3b26145e250a2a3cf4e6c822242bec37fac0399a0c15

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp38-cp38-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp38-cp38-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 078587087e219278287bd0259723d55128da6a9a8411230cc5f44ddeedcaa358
MD5 7a36a5c0f7d9e28ea16d06a8db2d0b4a
BLAKE2b-256 125e3292d166456ac59f375c17ed4eab04ca1482f2dc1850d621b0ccc1847680

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: voyager-2.0.8-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 200.3 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.9.19

File hashes

Hashes for voyager-2.0.8-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 110a0765244dc20c7b276db1732ab65f4d4db4d13e5ba7635cc3637b9344e61d
MD5 ab10ca662ef94d45c73f36e4c9755094
BLAKE2b-256 ddf722f22ef65a847f7deaed689adb8a1766add614d05e13f17f1bd58687ae5e

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8ef678487d380777c1c00c108ea2172620740590a8184daa92bb29f0be4788b1
MD5 413a4e6166efa9d8c9fe1cf9f6479a65
BLAKE2b-256 409ce95daa3cab3337bab3305fee22a452cb17aff9f3d9f3dfa5547b8353ada4

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1a36adbe487ce93a44803105eb4025d2fb5b1cc529878135fa47965179db7f41
MD5 e54917f033d8554ecb2487626e382ebc
BLAKE2b-256 92cd877d4fba4242e0466dee0ac6a3c5a06adeea03a612a50185c883e288c252

See more details on using hashes here.

File details

Details for the file voyager-2.0.8-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.8-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 a9ecf306bb5a5c517a7359269da88488e8270c5212487c86cbd4d2dc58c62836
MD5 fe61f6c48f5140f9fdca234fd5157ba2
BLAKE2b-256 604f2000fd0f66c344eb530734c1f36ae422c47c370ae24459016599078e01e2

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