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FastUUID is a library which provides CPython bindings to Rust's UUID library

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fastuuid/fastuuid

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fastuuid

FastUUID is a library which provides CPython bindings to Rust's UUID library.

The provided API is exactly as Python's builtin UUID class. The supported UUID versions are v1, v3, v4, v5, and v7.

It is supported on Python 3.8, 3.9, 3.10, 3.11, 3.12, 3.13, 3.14

Why?

It is much faster than Python's pure-python implementation and it is stricterwhen parsing hexadecimal representation of UUIDs.

If you need to generate a lot of random UUIDs we also provide the uuid4_bulk()function which releases the GIL for the entire duration of the generation.This allows other threads to run while the library generates UUIDs.

Benchmarks

processormachinepython compilerpython implementationpython implementation versionpython versionpython buildreleasesystemcpu
x86_64x86_64GCC 5.5.0CPython3.7.23.7.2default4.15.0-50-genericLinuxIntel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz
nameminmaxmeanstddevmedianiqroutliersopsroundsiterations
tests/test_benchmarks.py::test_parse_bytes_fastuuid8.770148269832134e-073.0054012313485146e-059.848993185755912e-076.654121944953314e-079.530049283057451e-072.6979250833392143e-08515;80801015332.20821621441493661
tests/test_benchmarks.py::test_parse_bytes_uuid9.00006853044033e-072.4181994376704097e-051.0102117337399724e-066.361040394445994e-079.739887900650501e-073.899913281202316e-081130;10702989891.49165574731980201
tests/test_benchmarks.py::test_parse_bytes_le_fastuuid9.00996383279562e-072.4662993382662535e-051.0116569599011118e-065.687526428398989e-079.840005077421665e-072.200249582529068e-08703;9368988477.35906225431630521
tests/test_benchmarks.py::test_parse_bytes_le_uuid1.348991645500064e-063.5200006095692515e-051.5184524591452776e-069.295692916442362e-071.448992406949401e-063.897002898156643e-081620;12511658565.23460924851702711
tests/test_benchmarks.py::test_parse_fields_fastuuid9.819923434406519e-073.2625976018607616e-051.217285795660234e-061.0234898538816672e-061.087988493964076e-066.702612154185772e-083199;12487821499.76904775911438441
tests/test_benchmarks.py::test_parse_fields_uuid1.1137977708131076e-060.0001478094025515021.2054474234359692e-065.093104655522965e-071.144595444202423e-066.060581654310231e-082304;5896829567.49548613351679835
tests/test_benchmarks.py::test_parse_hex_fastuuid9.870273061096668e-072.906599547713995e-051.11212962918218e-066.906885628642859e-071.0759977158159018e-063.0995579436421394e-08577;8272899175.75591917651432881
tests/test_benchmarks.py::test_parse_hex_uuid1.3360113371163607e-062.6262016035616398e-051.4448148991822913e-067.064083638385458e-071.3989920262247324e-062.9016518965363503e-08679;4802692130.1826039868821561
tests/test_benchmarks.py::test_parse_int_uuid5.448004230856896e-074.164349229540676e-066.099919819231937e-072.0401652680352933e-075.548994522541762e-074.430039552971725e-083607;39251639365.81075570978795120
tests/test_benchmarks.py::test_parse_int_fastuuid8.950009942054749e-074.946498665958643e-051.0105578493921953e-066.873330198387691e-079.739887900650501e-072.1012965589761734e-08529;12534989552.45422264011760881
tests/test_benchmarks.py::test_fast_uuidv35.410998710431158e-073.5570512409321965e-065.971385425220447e-071.672736409563351e-075.526497261598707e-072.949964255094524e-084865;63321674653.2484345268350820
tests/test_benchmarks.py::test_uuidv33.6269775591790676e-064.193797940388322e-053.933511159797234e-061.4521217506191846e-063.782013664022088e-066.00120984017849e-08548;4193254225.79455743768535821
tests/test_benchmarks.py::test_fast_uuidv41.47343598655425e-072.069187758024782e-061.6777362874701377e-077.169360028617447e-081.5453133528353646e-078.188180800061673e-096101;115505960412.29761980219841332
tests/test_benchmarks.py::test_uuidv42.275977749377489e-065.939402035437524e-052.5699563458422217e-061.316784132061215e-062.38200300373137e-061.309963408857584e-072068;5815389111.667837409856101
tests/test_benchmarks.py::test_fast_uuidv4_bulk_threads0.00098435199470259250.0072680049925111230.00144188289658017190.00075451854950198510.00120592699386179450.000328887006617151242;54693.53759752042235491
tests/test_benchmarks.py::test_fast_uuidv4_threads0.00306932799867354330.0080870119854807850.0040096116037749350.0007156059134487620.00386507998337037860.000658847755403257953;19249.400714787070262731
tests/test_benchmarks.py::test_uuidv4_threads0.0309995130228344350.068955410009948540.0400252715890846160.0099758621683735060.0364752064924687150.0087131990003399553;224.98421522947798221
tests/test_benchmarks.py::test_fast_uuidv55.316498572938144e-074.090600123163313e-065.890041556925782e-071.8620985914996815e-075.419497028924525e-072.9799412004649576e-083998;64151697780.89056801218892120
tests/test_benchmarks.py::test_uuidv53.7190038710832596e-065.8079982409253716e-054.403547300216035e-062.439066121654033e-063.910012310370803e-062.169981598854065e-072283;4139227089.64655629804573831

Run them yourself to verify.

Contributing

We are running tests and build's for all target python versions for every PR.

The version number is stored in the Cargo.toml file.To release a new version, update the version number in Cargo.toml and create a new tag with the version number.Pipeline will pick it up and publish it to PyPI.

PRs are welcome.

Packages

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Contributors13

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