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

Navigation

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License
  • Author: Peter Sobot
Classifiers

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

Verified details

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

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache Software License
  • Author: Peter Sobot
Classifiers

Release history Release notifications | RSS feed

2.0.9

2.0.8

2.0.7

This version

2.0.6

2.0.5

2.0.4

2.0.2

2.0.1

2.0.0

1.2.6

1.2.5

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-2.0.6-cp312-cp312-win_amd64.whl (199.8 kB view details)

Uploaded CPython 3.12 Windows x86-64

voyager-2.0.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

voyager-2.0.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.2 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

voyager-2.0.6-cp312-cp312-macosx_11_0_arm64.whl (352.6 kB view details)

Uploaded CPython 3.12 macOS 11.0+ ARM64

voyager-2.0.6-cp312-cp312-macosx_10_13_x86_64.whl (369.7 kB view details)

Uploaded CPython 3.12 macOS 10.13+ x86-64

voyager-2.0.6-cp312-cp312-macosx_10_13_universal2.whl (721.5 kB view details)

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

voyager-2.0.6-cp311-cp311-win_amd64.whl (199.5 kB view details)

Uploaded CPython 3.11 Windows x86-64

voyager-2.0.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

voyager-2.0.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

voyager-2.0.6-cp311-cp311-macosx_11_0_arm64.whl (352.8 kB view details)

Uploaded CPython 3.11 macOS 11.0+ ARM64

voyager-2.0.6-cp311-cp311-macosx_10_13_x86_64.whl (368.0 kB view details)

Uploaded CPython 3.11 macOS 10.13+ x86-64

voyager-2.0.6-cp311-cp311-macosx_10_13_universal2.whl (719.8 kB view details)

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

voyager-2.0.6-cp310-cp310-win_amd64.whl (198.4 kB view details)

Uploaded CPython 3.10 Windows x86-64

voyager-2.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

voyager-2.0.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.1 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

voyager-2.0.6-cp310-cp310-macosx_11_0_arm64.whl (351.7 kB view details)

Uploaded CPython 3.10 macOS 11.0+ ARM64

voyager-2.0.6-cp310-cp310-macosx_10_13_x86_64.whl (366.2 kB view details)

Uploaded CPython 3.10 macOS 10.13+ x86-64

voyager-2.0.6-cp310-cp310-macosx_10_13_universal2.whl (717.5 kB view details)

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

voyager-2.0.6-cp39-cp39-win_amd64.whl (194.5 kB view details)

Uploaded CPython 3.9 Windows x86-64

voyager-2.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

voyager-2.0.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.1 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

voyager-2.0.6-cp39-cp39-macosx_11_0_arm64.whl (351.9 kB view details)

Uploaded CPython 3.9 macOS 11.0+ ARM64

voyager-2.0.6-cp39-cp39-macosx_10_13_x86_64.whl (366.4 kB view details)

Uploaded CPython 3.9 macOS 10.13+ x86-64

voyager-2.0.6-cp39-cp39-macosx_10_13_universal2.whl (717.5 kB view details)

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

voyager-2.0.6-cp38-cp38-win_amd64.whl (198.2 kB view details)

Uploaded CPython 3.8 Windows x86-64

voyager-2.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.2 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

voyager-2.0.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.1 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

voyager-2.0.6-cp38-cp38-macosx_11_0_arm64.whl (351.6 kB view details)

Uploaded CPython 3.8 macOS 11.0+ ARM64

voyager-2.0.6-cp38-cp38-macosx_10_13_x86_64.whl (366.1 kB view details)

Uploaded CPython 3.8 macOS 10.13+ x86-64

voyager-2.0.6-cp38-cp38-macosx_10_13_universal2.whl (717.4 kB view details)

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

voyager-2.0.6-cp37-cp37m-win_amd64.whl (198.6 kB view details)

Uploaded CPython 3.7m Windows x86-64

voyager-2.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.3 MB view details)

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

voyager-2.0.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (4.3 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

voyager-2.0.6-cp37-cp37m-macosx_10_13_x86_64.whl (362.1 kB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

File details

Details for the file voyager-2.0.6-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: voyager-2.0.6-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 199.8 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for voyager-2.0.6-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 8f85593b1006b0236c9fbdf33ae3b7c9167c1eb86bc5787c64f7d685a4851572
MD5 66a6fe92305129e8dbff2c4184041bcd
BLAKE2b-256 9d68e0c7542525248e0f11048528856268abd7e5f77cab41e47879b13d689002

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1bd57745d1cf6d8f29f352ce5ecd693f831c78d45e2c815a0dc1de279a0afa25
MD5 29c31bcbe1b4ea516de9221dc7dbb199
BLAKE2b-256 7f206c6d6fd984d635b83e7b55f0e34b2f48440fdc377e226beaaf54769ddd87

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0535e3454225ed4e763251c2ad88d3ee073617ca81fe8394bdf94ae4b861a212
MD5 284a1a1a25ae46588aee2e22e9af199e
BLAKE2b-256 eaa03b30cf9538e66a2a0e5b563ef602848bd622408051584f6d2151f218256f

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 d187d4e9881e3d566f59e5837052d3bd6e430b7bd0e2ece4f95bcca7cb133d12
MD5 601bed2769bff93817782fe7e9cfe380
BLAKE2b-256 48633631f7f49daf43a26adb8068fd7baade2a9232c991c8cf27fc128984eba7

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp312-cp312-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp312-cp312-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 3779550e31d2c331ed9093b96718070ff8a7f55e84813e6807e366827a066c81
MD5 e40ec33b19d520d3937e8779cdb1c97c
BLAKE2b-256 436c887baea9ea7ee1d396330a093800e33e8bd346d4b627d199c4d1734c7f98

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp312-cp312-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp312-cp312-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 ab90e6a8ece9322da72389ad865611bd7505ad4adb9cd154d0ae076b68632939
MD5 72201e480362da15dd5f05e99f43c72c
BLAKE2b-256 a0d6dd3af84ba256a9517beef074ee12640622a7eed9d938e6dac9a61655ec79

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: voyager-2.0.6-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 199.5 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for voyager-2.0.6-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 7ec6a2d22641ae810a89eb13e8899b816788a42f477f7f9c958d63bf33264ff2
MD5 bbadef2a721b563f59cfd3546eb67977
BLAKE2b-256 2696a5499cc4226c03017a78c055dd2653c60e6120853a4bee0f47a4e53bfc00

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 61dfcbe8803e3aae12b9a371745f8f8c84e8aa6e890d02868eaad72dbfcb706b
MD5 866a5486eeb2f93c0a3295953222a7e4
BLAKE2b-256 0c7334e590ff2227dea51af335787fd820e6feb847b68ffc1425f545e24c03aa

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2465c42283158d1c95fa2ea90ca73f9f4a431b5ffb2e938fe04b4608e7c799dc
MD5 a37dd4f53a85bf454f75373417c1c7cf
BLAKE2b-256 eeef2d35212a8189b5bcd0e1cdcaec71a36d11df98fca8fbc4b07c6adb046fe8

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 683cd6a673ee7ba4ed32d95e3136b030a39da862b10857e3ccfdb1aec347c8f8
MD5 00a90215981615975c3e553b4a1bbfee
BLAKE2b-256 71d4ea09739d9e83213f4f5fd257cb145304b423775a039c90dc9190f4925e81

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp311-cp311-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp311-cp311-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 e849b76975d95a73db63567363273c3d8418d789ec4864b1cb607feeab8f25ea
MD5 41be1e557cae5670e90771f36213af16
BLAKE2b-256 abfc99d715de21b16715cc1dc96761f55eb3c4e44c464f6bc5d3b099027b393d

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp311-cp311-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp311-cp311-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 5126acfe6a37b37ced872d02d392fc86a126aa79ebb162840eaf831001dc94ba
MD5 15be3a54f4d2191953efee6a6d3433f0
BLAKE2b-256 2434f0ac9e1590103db2b5925dfb5694a2622805e38ad4d219913c1398130c60

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: voyager-2.0.6-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 198.4 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for voyager-2.0.6-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 e2f31037f93041a2a85f26b88e6bd85ccc68545f053f731d253d49a9b1b2b396
MD5 53e9355d3afdbefb363ce4982510d392
BLAKE2b-256 958564a6dd6af0d590af982f3e971a93fa628dff67003b3c008b4493008ad84b

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 eb3e926823825fd27b96a8ece181186ef47d532c33b9d1f908540d5ab6778b14
MD5 5b6037deb07afa2a86d5ae0fae636d77
BLAKE2b-256 0b25cb4469faea9dd462cb3d5895a2f66ded6c3d7eee0c884a6720a6fcb69ae4

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a4926ce4f501e6801d911929aebb84b472b988cfdf3a7bcba36fbec0ad864424
MD5 7e8ee3f4704f80a38ec3860f88f8dbdc
BLAKE2b-256 1ee4650da9715de91b4f5c33c3e7f4a965b678f349755ee757b3fd2a836806fe

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f771544de47e5dbd878024a0c47182dbcf83ac620b0fd45b54cd33c8e260331b
MD5 b9396deefcc6d54e8e6ab8e8a63458a6
BLAKE2b-256 c1c4d793a5ebfe6e019412d5bedbd23c2c6cd5c52e777391f29870f2bf4319c4

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp310-cp310-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp310-cp310-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 8d56d75028ed1eee884a0541fecb0aaf8bf27a65029f310ad72a14b2935fe5cd
MD5 db97af9e65db4538cec4af0af62ad39a
BLAKE2b-256 6dcdc733f6b32de5d0e78bbf3d9f5f97ec09e8691c42b6190b16d325aefbffe6

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp310-cp310-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp310-cp310-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 db63c6adb5508ca39063639345d1c615ce522730251515d67ff748355f0147b9
MD5 24e6a1826c619788e4b98de481710d32
BLAKE2b-256 980fc21fa0f99bce134a56103fe9bbd4011b331dbf4c90bce3036c3613642db0

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: voyager-2.0.6-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 194.5 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for voyager-2.0.6-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 6bac4b748d12db26ab4dd40b4f44588a804e272150fc303654a5bd1eb3d67d0d
MD5 53e0af192fde5b14017a02545adcbb1e
BLAKE2b-256 90b23a4a8e16a87dac34c4d5aaba8123cfc014079f321250caf7b49e8454500f

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c6e1549e469f2160ba68b848cab28ee60029fcbcddb3c78122b2613aeddf03dd
MD5 b1d79cdd4964f7379572292a60189ceb
BLAKE2b-256 c6a2b3f93767ba397228fcc10734d9877351e05c540f9af4d3b5d5884dd2cadd

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cfb455c85102e3caa4e5a1b4b618826cfecdbb646e7e65e39aaefa528ba12f95
MD5 ddc4451dc8a0597dfa6acf8e7e04d263
BLAKE2b-256 36bb0bc61cd2ab2f698a2f45c90e53d7d9580d7dbf0cc145627363e7619d472e

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8c5c91b58cb4fbd6b9a1488fd574ece2f4a85b1c25ceb370cfea8dc96ff0795c
MD5 d50332aa10a3d59f3e939c841dbdc7ca
BLAKE2b-256 6d40d9a261c20e4b4104c8d699d9dd1d95d91e031e5a356373ef7642fa8e0d38

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp39-cp39-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp39-cp39-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 b7929be7bdb33ea3419fff723e09173fb09481b2d4689cef092be9c86af3d742
MD5 baa021f74ca2136351910929c9bee170
BLAKE2b-256 ab3e43d264069871d69c58f5cfe67f7e938ace97664dac1290fe68c1c9d68583

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp39-cp39-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp39-cp39-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 96a13eb3802800f57cddd53e8660d72bffc6f5fe18c2b34f98c3956d13b81afd
MD5 22e1ac8b24246fcd572f54d995894dc8
BLAKE2b-256 fd8c091067b64d15ff20f1bf03e36959c45ccda033350c94d91ff852305c2d8b

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: voyager-2.0.6-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 198.2 kB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for voyager-2.0.6-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 f844e897b9fc3a8b738ea9eb1e89172bfb98c5a5553785ef4cd888f14b4ce606
MD5 6792da3d9c8e5c287961e36c66ee4887
BLAKE2b-256 9227a36ed0fcbbb23550b6f60f731864f9792f83c86e4f95fdccc55d5a4569aa

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 9ca3107fdf233b43e826f8fa7c3c528350286f3b2fee837630317daf4e96a86b
MD5 a4efc1721352daf581db7fb1d730b02a
BLAKE2b-256 b786ed0069509f35dab0ba7748228459934e5ce07c2fdd1806c0b1188e7bf861

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 9449bcf86cb8a80c7d196bc5b9b5110a3720ba289b8da3d39d50b6a2801ec522
MD5 162d1c69dd4613ec84f2e90eb650a21b
BLAKE2b-256 520bc0fc61177cbe79f1fcf20d28e4fb06d6a63bbbb2adb6df04228697710c0f

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 73cedcc5ffe271531e649e62ab56bbf8daa37b41113aa781e14a7e5a858b6bf1
MD5 82311afac69cb76bfd1cb521059588f2
BLAKE2b-256 4846e3ebd130e88fda2a2806a7dcd5a1a479876d55180b4a5b72399465d88345

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 402fe272e53c3b03fdf2a33ee7c85ca2186469cf2904250c36147a22c562b8df
MD5 60e2d56e9469b0e86dffa8a45199053e
BLAKE2b-256 4c1e960bd4e3fa14733de0543cef55e63ee0b2c7a29ebcb732fd2a247bfe3257

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp38-cp38-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp38-cp38-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 252b554e230997899e5fc4d47d72945e4f5355cc687063762230c9f10c49b947
MD5 e0b356df1fbc726c9d1acaabc4c12131
BLAKE2b-256 7c3c219ca7fc3b14109874f93ef5370a39c83ee2ba3850220db5e237b9d594f0

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: voyager-2.0.6-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 198.6 kB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.9.19

File hashes

Hashes for voyager-2.0.6-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 6d8feea3c36ceb9de39089d825711478f2c7be355dc144cc3f24cb17e8ff7bbb
MD5 c6ee33226097325e5f7b61dfbec85b8b
BLAKE2b-256 9f4004fed00c86158a92568a3bdf3450c46bc65a02d1785208d91033dd391658

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 457204fdc91ac1222e4742018f31c8b486ceb009cefd6600822291064d6a2be5
MD5 1b9ff333e8bcc98b534a03947aa4b448
BLAKE2b-256 5ade3426f208222e13e6610490be0b820b1207abd8942738508e638ea19cc831

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 fe2556361c16ccc5c2d6a6baeba1eff3fdd088c87c4086b3f0a53a5af4243fdb
MD5 0f717af6e9ac050cf78e00a8f5af2721
BLAKE2b-256 3cfb6d6ff6e8a62ad671162a2f51cd0f98edd25f16b459e7125a954d9a36db0a

See more details on using hashes here.

File details

Details for the file voyager-2.0.6-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for voyager-2.0.6-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 9d2dcae04626c79a808d20af6df7c76782fd8a8a5056bac81a22e6b05022d3b5
MD5 3891725b066d36e09857a0495434fc07
BLAKE2b-256 2355f1881ff6763e058de16a8aee05af6ab45699dcc7db01d308fa72adff47ec

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