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-0.16.4b2603040814.tar.gz (1.8 MB 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-0.16.4b2603040814-cp37-abi3-win_amd64.whl (3.5 MB view details)

Uploaded CPython 3.7+Windows x86-64

statsig_python_core-0.16.4b2603040814-cp37-abi3-win32.whl (3.1 MB view details)

Uploaded CPython 3.7+Windows x86

statsig_python_core-0.16.4b2603040814-cp37-abi3-musllinux_1_2_x86_64.whl (3.6 MB view details)

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

statsig_python_core-0.16.4b2603040814-cp37-abi3-musllinux_1_2_aarch64.whl (3.5 MB view details)

Uploaded CPython 3.7+musllinux: musl 1.2+ ARM64

statsig_python_core-0.16.4b2603040814-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.5 MB view details)

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

statsig_python_core-0.16.4b2603040814-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (3.5 MB view details)

Uploaded CPython 3.7+manylinux: glibc 2.17+ ARM64

statsig_python_core-0.16.4b2603040814-cp37-abi3-macosx_11_0_arm64.whl (3.2 MB view details)

Uploaded CPython 3.7+macOS 11.0+ ARM64

statsig_python_core-0.16.4b2603040814-cp37-abi3-macosx_10_12_x86_64.whl (3.3 MB view details)

Uploaded CPython 3.7+macOS 10.12+ x86-64

File details

Details for the file statsig_python_core-0.16.4b2603040814.tar.gz.

File metadata

File hashes

Hashes for statsig_python_core-0.16.4b2603040814.tar.gz
Algorithm Hash digest
SHA256 9ac3d14d1942c4ab6b164152a4e4b717c01d862cb099c6e2f8a4afba961b34b1
MD5 074dd7fab1a3e7ac6fd47168e822087e
BLAKE2b-256 ddfddbd6ad3f5b3cbb938b96b7427bb2ca8c851f7dcb2bf2519de0386503e43a

See more details on using hashes here.

File details

Details for the file statsig_python_core-0.16.4b2603040814-cp37-abi3-win_amd64.whl.

File metadata

File hashes

Hashes for statsig_python_core-0.16.4b2603040814-cp37-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 fb857752dd112f6ebcae7c0b1995f01fb5c982cbb196ae92b6a11dc26ca818d8
MD5 286ecbaa3d86665827d9cb1341b9a389
BLAKE2b-256 d0e4856f4724d837aa0e74e8cf6f62cad97964ae6252516decbc837ca4fd2f35

See more details on using hashes here.

File details

Details for the file statsig_python_core-0.16.4b2603040814-cp37-abi3-win32.whl.

File metadata

File hashes

Hashes for statsig_python_core-0.16.4b2603040814-cp37-abi3-win32.whl
Algorithm Hash digest
SHA256 182385dd4675aa046a259e495202ec28328dc8da4204bac5587bc6655b8690e2
MD5 a0ae38a2fe13e01c270ba623cc167a2e
BLAKE2b-256 888ba6f834123cca2046f5fd7ae9d260fba2a96186c4ceb70dfd7e0bc0f3f4d5

See more details on using hashes here.

File details

Details for the file statsig_python_core-0.16.4b2603040814-cp37-abi3-musllinux_1_2_x86_64.whl.

File metadata

File hashes

Hashes for statsig_python_core-0.16.4b2603040814-cp37-abi3-musllinux_1_2_x86_64.whl
Algorithm Hash digest
SHA256 7d20d27756633a1d5205a852efea078f114cd30bbf3e605a3efffce0cc08c097
MD5 40c9396b4c112e3d89530a35c4d86e9a
BLAKE2b-256 ce2ba90b7c86eaeacc3eb90e01b4205298873f0de5971edf88510cf48eb016de

See more details on using hashes here.

File details

Details for the file statsig_python_core-0.16.4b2603040814-cp37-abi3-musllinux_1_2_aarch64.whl.

File metadata

File hashes

Hashes for statsig_python_core-0.16.4b2603040814-cp37-abi3-musllinux_1_2_aarch64.whl
Algorithm Hash digest
SHA256 49dcd07896c13b981c09670078e9783b5b0a9ed5eec057980202927910d133fb
MD5 c4cdc3b0d9c953967246c6f0f1fe1979
BLAKE2b-256 4141da7abfbf841fe36a293f31712b0533e523d0446f8c9c6079f40b954b46b1

See more details on using hashes here.

File details

Details for the file statsig_python_core-0.16.4b2603040814-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for statsig_python_core-0.16.4b2603040814-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a07a94ae100240cfa055de6f67cf72bb2b2fcbdc95210b26817577e97151fa55
MD5 52aa632a4346cf3ffd2e115f02036643
BLAKE2b-256 4cebb8705ebbf8d8b1eed1ed757251ad7bf95d1f8bd7f7ffc4034dc2538db0ba

See more details on using hashes here.

File details

Details for the file statsig_python_core-0.16.4b2603040814-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for statsig_python_core-0.16.4b2603040814-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f6301ec98b69cc73ae054ed565785663ba63b21237d19af217cead838c13271f
MD5 ec4e56b7e46255dc9aab72bcdbae4dcd
BLAKE2b-256 7f07ab270dd6bf6c1e58366e9378e2796ad83f582c87eea822749383db7becf6

See more details on using hashes here.

File details

Details for the file statsig_python_core-0.16.4b2603040814-cp37-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for statsig_python_core-0.16.4b2603040814-cp37-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 86485a173cc259509738e28a9648ad3429ea274267fa3ee8ce3bb016d673f6a8
MD5 7b4cc975f092ee55478925dc6f5b8281
BLAKE2b-256 1f238ea079208f9d3d413423d6a79d64c3bf90f50d8455ccb91cd8a67870386f

See more details on using hashes here.

File details

Details for the file statsig_python_core-0.16.4b2603040814-cp37-abi3-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for statsig_python_core-0.16.4b2603040814-cp37-abi3-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 cabdde2075172551b7f527f1afa1417c222279944c6af9d48a97113579c0d3b1
MD5 cec854cff6fb1c905c8766b1648a5def
BLAKE2b-256 3ac2ead0dfaea6374e6ee53ca3e9ec9d1298e8d3254ebc3207caad3fe0c48283

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