Python bindings for spdlog

These details have not been verified by PyPI

Project description

spydlog

Python bindings for spdlog using nanobind.

Installation

Supported Python versions ranges from 3.9 (minimum version) up to the latest (3.14). Supported platforms are Windows, Linux and MacOs.

pip install spydlog

Documentation

Please refer to the official documentation of spdlog and see the documentation for examples.

Performance

A benchmark against the native logger module is avaiable in benchmarks. The results are great, but some improvements can be made to the bindings (for console-logging especially).

Library	Scenario	Messages/Second	Speedup vs Python
Python	Console	5,093	1.0x
Python	File	37,270	1.0x
Python	Disabled	6,583,365	1.0x
spydlog	Console (MT)	13,651	2.7x
spydlog	Console (ST)	13,388	2.6x
spydlog	File (MT)	1,302,138	34.9x
spydlog	File (ST)	1,390,776	37.3x
spydlog	Async File	2,305,422	61.9x
spydlog	Disabled	3,955,180	0.6x

License and attribution

All material in this repository is licensed under an MIT License.

Acknowledgement

Some code and text of this repository has been generated by AI using Claude, via the web interface.

Python test code has initially been generated by Claude and modified by the author.
Python Stubs have been auto-generated by nanobind and fixed by Claude for better type inference and clear wrapping of C++ types not converted correctly by the nanobind generator.
Documentation has been generated by Claude given the existing stubs and code.
Benchmark code has been generated by Claude.

Although LLMs are not on-par with a human brain for everything, they do a good job when it comes to summarizing/generating text given a good input, that's why it was practical to use them in that case. Critical code (cpp bindings) has been written by hand and carefully reviewed and tested.

Project details

These details have not been verified by PyPI

Release history Release notifications | RSS feed

This version

1.0.1

Dec 23, 2025

1.0.1.dev0 pre-release

Dec 23, 2025

1.0.0

Dec 23, 2025

Download files

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

Source Distribution

spydlog-1.0.1.tar.gz (1.3 MB view details)

Uploaded Dec 23, 2025 Source

Built Distributions

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

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

spydlog-1.0.1-cp314-cp314-win_amd64.whl (188.8 kB view details)

Uploaded Dec 23, 2025 CPython 3.14Windows x86-64

spydlog-1.0.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (243.0 kB view details)

Uploaded Dec 23, 2025 CPython 3.14manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

spydlog-1.0.1-cp314-cp314-macosx_11_0_arm64.whl (167.3 kB view details)

Uploaded Dec 23, 2025 CPython 3.14macOS 11.0+ ARM64

spydlog-1.0.1-cp314-cp314-macosx_10_15_x86_64.whl (184.4 kB view details)

Uploaded Dec 23, 2025 CPython 3.14macOS 10.15+ x86-64

spydlog-1.0.1-cp313-cp313-win_amd64.whl (182.7 kB view details)

Uploaded Dec 23, 2025 CPython 3.13Windows x86-64

spydlog-1.0.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (243.0 kB view details)

Uploaded Dec 23, 2025 CPython 3.13manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

spydlog-1.0.1-cp313-cp313-macosx_11_0_arm64.whl (167.4 kB view details)

Uploaded Dec 23, 2025 CPython 3.13macOS 11.0+ ARM64

spydlog-1.0.1-cp313-cp313-macosx_10_13_x86_64.whl (184.4 kB view details)

Uploaded Dec 23, 2025 CPython 3.13macOS 10.13+ x86-64

spydlog-1.0.1-cp312-cp312-win_amd64.whl (182.7 kB view details)

Uploaded Dec 23, 2025 CPython 3.12Windows x86-64

spydlog-1.0.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (243.0 kB view details)

Uploaded Dec 23, 2025 CPython 3.12manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

spydlog-1.0.1-cp312-cp312-macosx_11_0_arm64.whl (167.4 kB view details)

Uploaded Dec 23, 2025 CPython 3.12macOS 11.0+ ARM64

spydlog-1.0.1-cp312-cp312-macosx_10_13_x86_64.whl (184.5 kB view details)

Uploaded Dec 23, 2025 CPython 3.12macOS 10.13+ x86-64

spydlog-1.0.1-cp311-cp311-win_amd64.whl (183.1 kB view details)

Uploaded Dec 23, 2025 CPython 3.11Windows x86-64

spydlog-1.0.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (243.5 kB view details)

Uploaded Dec 23, 2025 CPython 3.11manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

spydlog-1.0.1-cp311-cp311-macosx_11_0_arm64.whl (167.9 kB view details)

Uploaded Dec 23, 2025 CPython 3.11macOS 11.0+ ARM64

spydlog-1.0.1-cp311-cp311-macosx_10_13_x86_64.whl (184.4 kB view details)

Uploaded Dec 23, 2025 CPython 3.11macOS 10.13+ x86-64

spydlog-1.0.1-cp310-cp310-win_amd64.whl (182.9 kB view details)

Uploaded Dec 23, 2025 CPython 3.10Windows x86-64

spydlog-1.0.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (243.2 kB view details)

Uploaded Dec 23, 2025 CPython 3.10manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

spydlog-1.0.1-cp310-cp310-macosx_11_0_arm64.whl (167.6 kB view details)

Uploaded Dec 23, 2025 CPython 3.10macOS 11.0+ ARM64

spydlog-1.0.1-cp310-cp310-macosx_10_13_x86_64.whl (184.0 kB view details)

Uploaded Dec 23, 2025 CPython 3.10macOS 10.13+ x86-64

spydlog-1.0.1-cp39-cp39-win_amd64.whl (183.3 kB view details)

Uploaded Dec 23, 2025 CPython 3.9Windows x86-64

spydlog-1.0.1-cp39-cp39-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (243.5 kB view details)

Uploaded Dec 23, 2025 CPython 3.9manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

spydlog-1.0.1-cp39-cp39-macosx_11_0_arm64.whl (167.8 kB view details)

Uploaded Dec 23, 2025 CPython 3.9macOS 11.0+ ARM64

spydlog-1.0.1-cp39-cp39-macosx_10_13_x86_64.whl (184.2 kB view details)

Uploaded Dec 23, 2025 CPython 3.9macOS 10.13+ x86-64

File details

Details for the file spydlog-1.0.1.tar.gz.

File metadata

Download URL: spydlog-1.0.1.tar.gz
Upload date: Dec 23, 2025
Size: 1.3 MB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for spydlog-1.0.1.tar.gz
Algorithm	Hash digest
SHA256	`2f7ff4eb6ec6851dfe261282f2789102437106697ed96b442b7f35026410a46c`
MD5	`e034398109934e31eca2747c771327b4`
BLAKE2b-256	`0130327b892c4b77c7a18b316fc9d1caee608fc25a0345cd57950d5ff1c1cdbc`

Algorithm	Hash digest
SHA256	`4b685eaece5f6af89ee4b2926cca0785603e136071b710baef8df4d429cac7a1`
MD5	`49c473201a83e1c44f214575f4901a5a`
BLAKE2b-256	`ea3520d289cd95428a795d17fc1fd55d89965eaa3b5becd5905487fa43139513`

Algorithm	Hash digest
SHA256	`3335c8e51309e6763d512a65774f967ee5acb1b7c6d9b7e15053662e566c9418`
MD5	`3b7ad0bce105fc72817aee739545167f`
BLAKE2b-256	`81ef02c691b3208c4578315ee5b2a3ddff8d1dd2294e03232db4bda168074a04`

Algorithm	Hash digest
SHA256	`2812fa039134b7c180ffa04d935782d52f0297bebe881cc8907feda7b6292953`
MD5	`4b598cb15f17ef1ecc7fe686ffe098d0`
BLAKE2b-256	`cbf895bb0507482ff0990abc5a22ac51919c1ae1412df097bccb68608d74ed46`

Algorithm	Hash digest
SHA256	`8ee07425781e65917f4abe7b5adf0976a411655e7e86b4fdef8d590f3edb992d`
MD5	`98249a5b04f8fbb0d73f4b308fbdd59a`
BLAKE2b-256	`704a777503c71e8bcdb461f462aaa5c45d1be89522fb3272edeb39af689c6f2f`

Algorithm	Hash digest
SHA256	`c622b9363ef8e67566697e165543a8581424f02639e008023ebd90a375aa03fc`
MD5	`d58d40ef62aca46bb13060d3f4ba135a`
BLAKE2b-256	`285c926f1e16e6db88d4c18b7a9e05c495a69712d81a49560b589a8ad22d0878`

Algorithm	Hash digest
SHA256	`495e900489c57bcc617e382c982d69816b99dddb84d598ec6a4d9f4fc0c2d834`
MD5	`b410f26be9ef2775cdbf3a5b4873a700`
BLAKE2b-256	`1358733c92686d78cb7d303b4c6ff8bcb7112c69aa3dba1b507b88f3bb586bde`

Algorithm	Hash digest
SHA256	`e4ebb1d84e5803281d3d7394a27cc326d6abaa6753316786eb82615db8aab07c`
MD5	`3ee8c24497d6a1607367c12b42e83749`
BLAKE2b-256	`ff8e10f8bcbd6bc60d819fef97707a6b2654174dc74f69f3396e2f7d7127dc57`

Algorithm	Hash digest
SHA256	`865c0dc8de5d1c1427039462f7b21ea9d9707bc2c53a97ce3047b3d4c31338fa`
MD5	`ec0847a71ebf7327d6a288fd68dea079`
BLAKE2b-256	`636b65a2cf972275a22ffa6410cb6319ce425fc816638f631ec71851b0ca76be`

Algorithm	Hash digest
SHA256	`91758b2bdce75b065f3ebe04bc24fdc53fcfbbc87c28500f82cb53e969693256`
MD5	`9459fe5d00ce8104b2474150a482a011`
BLAKE2b-256	`0fc963a95775adfb961380a4d8bfc266407f69305ed3ecf5778869a48503c261`

Algorithm	Hash digest
SHA256	`e4d7f08cfdfedc368d2f655efc6397447e53c07f9e4f1c2fbb05e25693bd73bf`
MD5	`e8db619970af6d85799bf31c90df3034`
BLAKE2b-256	`d770d62d4dbd2fd1fb3df3aac72d24a4bb1607d8a9b9306dbffc513498bb61ba`

Algorithm	Hash digest
SHA256	`0022bdda8fe36822430d358904d8b7c4cc941f9358caad20f906d65ebf947d3c`
MD5	`a6333042ff79a24830e0ac984673c628`
BLAKE2b-256	`0d774cc25d4c1b18fe48fd72e9d9f153ad05ef92710ddfa9ef8eb13921c609c4`

Algorithm	Hash digest
SHA256	`ddb5a140dd4202a79ae1d8b8a1d6f1ecfebcdffd96fd16a73515900742fd4989`
MD5	`3276c42cb7f655a86fadbae03ad259f8`
BLAKE2b-256	`607fff5fdfc61c8352d03e15967c5eaa3c7c920bc3bdf887d8234958aba664cf`

Algorithm	Hash digest
SHA256	`d304703ca09dcb8e73739d4fe0d610d1cac9f6ccb1b7761cbab5243302eda660`
MD5	`bad2828d06849108a8b1b67ee9746da6`
BLAKE2b-256	`a348cbec7ca4345e9a04452073cc9042e260f5c8d76adfcd31d213370ff26e5d`

Algorithm	Hash digest
SHA256	`37bbafd47362e71ddb976bfff1efbce08306c777ad23dc50a1f2b5cc86c09352`
MD5	`9c886af0dd478a1e10229efb8151b310`
BLAKE2b-256	`371b54984f780cadf3f616c531f4da246a19c339e04f2efe481c8295e01d1f38`

Algorithm	Hash digest
SHA256	`b49362b9bf0ae3fc035c5fa08ee30c3f4d4396a76e357faf9eafd6ec5fb81d97`
MD5	`af58b3bf54da7f556a9154c791b13d61`
BLAKE2b-256	`592e1fe308332f230eb96006c63139621bec9af99ed3b80a9ae221a1b806915b`

Algorithm	Hash digest
SHA256	`75a738badc1cdff8290dbb56c7246b5cbb6753ba9f629c9f976b74353710f9b7`
MD5	`cfa232de9fc545133bc0047b1758158c`
BLAKE2b-256	`e043529f5dd0cb0698057b4aba2c8e5e932f75533add9e85d1159f87b3839282`

Algorithm	Hash digest
SHA256	`65b4d31ec9aeb11b892ae995987c4833404648a8a52e80e85a8eec5a41366cb8`
MD5	`d1ba7ae2acbe0e4affd0acfbcd64b8e6`
BLAKE2b-256	`e5b103ccf64891db8ad9ec30762d2434b6871cc305d48c3ae4b33afc014d155b`

Algorithm	Hash digest
SHA256	`8f6bb711877306b8aefa87c2ed4e18738402c1a3248d6dba37e4f4e58d5ef9cb`
MD5	`12ca1a27793065842f67c41aa68616fd`
BLAKE2b-256	`6ca64b556ab8e7b71cbb7ef058475acfd2283ed222a4cd462105a5badc056f0c`

Algorithm	Hash digest
SHA256	`868bdf35e458ca712943363584b6619f4e4bcd5775811c45c270f6b53878046b`
MD5	`d0a8c1bb8b40f45e0383806fd35dc2d2`
BLAKE2b-256	`68542e5f32897af35138ff7b67cc33fa6371e8be10b4a48165ba814b57757c9e`

Algorithm	Hash digest
SHA256	`a968990ce0c428374069653647f193fe05c3af596fea7aeff18ad07e44b23eb7`
MD5	`d81933dde86e96af4c4f962c228204e8`
BLAKE2b-256	`d9a22aed73ac64034baf95a1911feeaf065d333da383395a4ec0bbf8828ca879`

spydlog 1.0.1

Navigation

Verified details

Maintainers

Unverified details

Meta

Classifiers

Project description

spydlog

Installation

Documentation

Performance

License and attribution

Acknowledgement

Project details

Verified details

Maintainers

Unverified details

Meta

Classifiers

Release history Release notifications | RSS feed

Download files

Source Distribution

Built Distributions

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

File details

File metadata

File hashes

Provenance

Algorithm	Hash digest
SHA256	`e11f45eaaea5e0b26a365b3b3416be3cddc7c71336785ccce4572ce5694c519a`
MD5	`80e47b3151c2c7663e90d73ac18ebb5e`
BLAKE2b-256	`dae493cd501089796a7a02c454286360d29159dfe9daa44eafb43e83a09c3f07`

Algorithm	Hash digest
SHA256	`54a0f2f9d81d04aba776fea0f589d897e419400d475322bc96ca7d33af69b6d0`
MD5	`aeeaa52a8bfd7ef7c851e437c5a83464`
BLAKE2b-256	`219c8a8ca1bff8933d22eb2b546090e565c4578e7d065fb16ffc2f7f6477d036`

Algorithm	Hash digest
SHA256	`a20ec08d944fa1827ac32b269bf9020190557317b0217ab30debd6a224b818ff`
MD5	`7ec0a698e0ff28177bafeaeb611edfb5`
BLAKE2b-256	`c65c6bec87a1677726214d368f8e726aaee096c7f9abb83734af5289b163f8f2`

Algorithm	Hash digest
SHA256	`c68c7eaf5efab891aaec02eaa435280e3013b5613e8124fb5f42a6892740efce`
MD5	`17a83d06c9d944ab88e4a3a1cfd5d096`
BLAKE2b-256	`b2e9c740a049a850ea26893cb139cff64f5191e282af4c4bdb095e8719107572`