Skip to main content

Statsig Python bindings for the Statsig Core SDK.

Project description

Statsig helps you move faster with feature gates (feature flags), and/or dynamic configs. It also allows you to run A/B/n tests to validate your new features and understand their impact on your KPIs. If you're new to Statsig, check out our product and create an account at statsig.com.

Getting Started

Read through the Documentation or check out the Samples.

Packages

Bindings

Community

If you need any assitance or just have a question, feel free to reach out to us on Slack.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

statsig_python_core-0.6.2b2508010253.tar.gz (752.7 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

statsig_python_core-0.6.2b2508010253-cp37-abi3-win_amd64.whl (2.9 MB view details)

Uploaded CPython 3.7+Windows x86-64

statsig_python_core-0.6.2b2508010253-cp37-abi3-win32.whl (2.6 MB view details)

Uploaded CPython 3.7+Windows x86

statsig_python_core-0.6.2b2508010253-cp37-abi3-musllinux_1_2_x86_64.whl (3.1 MB view details)

Uploaded CPython 3.7+musllinux: musl 1.2+ x86-64

statsig_python_core-0.6.2b2508010253-cp37-abi3-musllinux_1_2_aarch64.whl (3.0 MB view details)

Uploaded CPython 3.7+musllinux: musl 1.2+ ARM64

statsig_python_core-0.6.2b2508010253-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB view details)

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

statsig_python_core-0.6.2b2508010253-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (2.9 MB view details)

Uploaded CPython 3.7+manylinux: glibc 2.17+ ARM64

statsig_python_core-0.6.2b2508010253-cp37-abi3-macosx_11_0_arm64.whl (2.7 MB view details)

Uploaded CPython 3.7+macOS 11.0+ ARM64

statsig_python_core-0.6.2b2508010253-cp37-abi3-macosx_10_12_x86_64.whl (2.8 MB view details)

Uploaded CPython 3.7+macOS 10.12+ x86-64

File details

Details for the file statsig_python_core-0.6.2b2508010253.tar.gz.

File metadata

File hashes

Hashes for statsig_python_core-0.6.2b2508010253.tar.gz
Algorithm Hash digest
SHA256 69962004943faf3e45ad3fddd276bbc2c90613c59eb50fd924cfe6a16cdab232
MD5 9081477625b84c77006b8f5686fc9da3
BLAKE2b-256 7eb6be39dba793589b305d3b158f41cb74bf38bfe43459481293f76d53c3074b

See more details on using hashes here.

File details

Details for the file statsig_python_core-0.6.2b2508010253-cp37-abi3-win_amd64.whl.

File metadata

File hashes

Hashes for statsig_python_core-0.6.2b2508010253-cp37-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 f14c50e3f2b9c72cb988081a3ba5868123cd9919e7c9c013ef47c3abf0b66060
MD5 dcd9ff91d189b2d64c36dc115817562e
BLAKE2b-256 88e8b368de028efa68d02ca44410a576cba6bcdde3bf5f6d2fd44f5684d64a03

See more details on using hashes here.

File details

Details for the file statsig_python_core-0.6.2b2508010253-cp37-abi3-win32.whl.

File metadata

File hashes

Hashes for statsig_python_core-0.6.2b2508010253-cp37-abi3-win32.whl
Algorithm Hash digest
SHA256 392d424c890824d2ad366e3445b3fe593038e838ef1369c60595fe4d073f9e25
MD5 66c7bae2a23c6b0a9113e61e374536fe
BLAKE2b-256 85eb47dd1beb341d4f4848fee8ecc2885f1639d93e3f3a4ebc7ae0f61cde85a6

See more details on using hashes here.

File details

Details for the file statsig_python_core-0.6.2b2508010253-cp37-abi3-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for statsig_python_core-0.6.2b2508010253-cp37-abi3-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 dd94f65c56582a43efded58e9a6f76e320316f53976f7105b020fab2b70af513
MD5 c33ba561ddbe8fd71a29732b5e9f1278
BLAKE2b-256 7d1800e41fca38ee90801843235b3077d5c9d879783d0265522b002eee5c1fad

See more details on using hashes here.

File details

Details for the file statsig_python_core-0.6.2b2508010253-cp37-abi3-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for statsig_python_core-0.6.2b2508010253-cp37-abi3-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 c2aaa39c9a36759ee2ad4702875f646a7b2e92e6930f71f66bfc555a86305a85
MD5 ef479e66474115d9f8081f1d2f2228cb
BLAKE2b-256 653c88290799a12a9fa82a1829cc2f59f002c907a7c6a149b098c705009793b8

See more details on using hashes here.

File details

Details for the file statsig_python_core-0.6.2b2508010253-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for statsig_python_core-0.6.2b2508010253-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dcb1853fff126eae92ef59984323f724bae48623c1b6d4e8a834698fd9a21d02
MD5 c2d1e9fdadd566dea0562e3988099aa4
BLAKE2b-256 3cacdf2cef5c89a2a9c7385a8ada76e3bc91af50e32430836b75ef3d49bd8da8

See more details on using hashes here.

File details

Details for the file statsig_python_core-0.6.2b2508010253-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for statsig_python_core-0.6.2b2508010253-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ab2f9db23fb026e5346647ca63f88a40b0ba7a021175b31a83347d75249825e3
MD5 ac42ab1f8126812679446957c1ed5bf0
BLAKE2b-256 26f000714fc8060af0fe51aec2d597f1f4858a5e45b42a8ea9662a9bab47a53c

See more details on using hashes here.

File details

Details for the file statsig_python_core-0.6.2b2508010253-cp37-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for statsig_python_core-0.6.2b2508010253-cp37-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 59b87d7c5bfaf069f251de457524043d6e0023d8c95a38f6a5ba4e2f210c267c
MD5 ce27526d7280a8616a44c3428ab530c5
BLAKE2b-256 21c6bc02e23d201c43826bae46a5042e7fdd840d685663850024a976b1c32eb3

See more details on using hashes here.

File details

Details for the file statsig_python_core-0.6.2b2508010253-cp37-abi3-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for statsig_python_core-0.6.2b2508010253-cp37-abi3-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 ab9768af979b4900feabf14de0894eb74645948a9edb93a8c7a32a94cfe1e911
MD5 956f7ffd15af6d24667bf9ecec38c75a
BLAKE2b-256 817417f086cca990bfeb1e155a9a2943501671d4ee57c3830b859915a17e4b04

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page