uuideal
Makes Python uuid fast.
import uuideal. uuideal.install(). That's it.
[!CAUTION]
uuideal.install()patches CPython global state (vectorcall slots). Don't use it unless you know what you're doing. Do not calluuideal.install()from reusable packages implicitly; leave that decision to applications.
uv add uuideal
import uuid
import uuideal
same_function = uuid.uuid4
same_class = uuid.UUID
uuideal.install() # This makes uuid fast.
assert uuideal.installed()
assert uuid.uuid4 is same_function
assert type(uuid.uuid4()) is same_class
assert uuideal.uuid7().version == 7
uuideal.uninstall() # This makes uuid slow.
UUID generation is mostly backed by the uuid Rust crate, with two
exceptions:
- On Python builds where
uuid.uuid1()would generate multiprocessing safe uuids (UUID.is_safe),uuidealwill preserve that behavior. uuid.uuid8()will always userandom.getrandbits()instead of Rust CSPRNG to generate randomness. It will remain cryptographically unsafe and compatible with seededrandommodule.
uuideal.uuid6(), uuideal.uuid7() and uuideal.uuid8() are also available on Python 3.12 and
3.13.
Comparison
| Feature | stdlib | fastuuid |
uuid_utils.compat |
uuid_utils |
stdlib + uuideal |
|---|---|---|---|---|---|
Uses exact uuid.UUID |
✅ | ✗ | ✅ | ✗ | ✅ |
| No call-site changes | ✅ | ✗ | ✗ | ✗ | ✅ |
safe uuid1() support |
✅ | ✗ | ✗ | ✗ | ✅ |
| Fast generation* | ✗ | ✗ | ✗ | ✅ | ✅ |
| Fast parsing* | ✗ | ✅ | ✗ | ✅ | ✅ |
| Beautiful codebase | ✗ | ✅ | ✅ | ✅ | ✗ |
* At least 15x faster than stdlib for both uuid4()
and uuid7() and at least 3x faster for UUID('<hex>').
Generation
| Operation | stdlib | uuid_utils.compat |
uuid_utils |
stdlib + uuideal |
|---|---|---|---|---|
uuid1() |
1,752 ns | 443.4 ns (3.95×) | 72.5 ns (24.18×) | 74.1 ns (23.64×) |
uuid1()safe |
737.7 ns | N/A | N/A | 131.4 ns (5.62×) |
uuid3() |
1,007 ns | 669.7 ns (1.50×) | 204.6 ns (4.92×) | 176.9 ns (5.69×) |
uuid4() |
1,195 ns | 259.0 ns (4.62×) | 60.5 ns (19.76×) | 62.4 ns (19.17×) |
uuid5() |
993.7 ns | 653.7 ns (1.52×) | 192.5 ns (5.16×) | 167.3 ns (5.94×) |
uuid6() |
868.5 ns | 324.8 ns (2.67×) | 71.4 ns (12.17×) | 73.3 ns (11.84×) |
uuid7() |
1,445 ns | 300.9 ns (4.80×) | 94.8 ns (15.25×) | 86.6 ns (16.70×) |
uuid8() |
720.1 ns | N/A | N/A | 166.1 ns (4.33×) |
| Speedup (geomean)* | 1.00× | 2.85× | 11.45× | 12.03× |
Conversions
| Operation | stdlib | uuid_utils |
stdlib + uuideal |
|---|---|---|---|
UUID('<hex>') |
492.8 ns | 99.4 ns (4.96×) | 101.2 ns (4.87×) |
str(value) |
351.4 ns | 93.0 ns (3.78×) | 58.7 ns (5.99×) |
pickle.dumps(value) |
1,134 ns | 1,189 ns (0.95×) | 1,083 ns (1.05×) |
pickle.loads(payload) |
829.7 ns | 653.9 ns (1.27×) | 700.3 ns (1.18×) |
| Speedup (geomean)* | 1.00× | 2.18× | 2.45× |
Access
| Operation | stdlib | uuid_utils |
stdlib + uuideal |
|---|---|---|---|
value.int |
40.3 ns | 61.3 ns (0.66×) | 40.7 ns (0.99×) |
value.bytes |
89.7 ns | 53.8 ns (1.67×) | 52.6 ns (1.71×) |
value.bytes_le |
324.5 ns | 55.2 ns (5.88×) | 52.6 ns (6.17×) |
value.hex |
132.2 ns | 95.2 ns (1.39×) | 62.0 ns (2.13×) |
value.fields |
334.4 ns | 101.8 ns (3.29×) | 98.3 ns (3.40×) |
value.time_low |
78.3 ns | 50.0 ns (1.57×) | 48.4 ns (1.62×) |
value.time_mid |
96.0 ns | 50.2 ns (1.91×) | 48.5 ns (1.98×) |
value.time_hi_version |
95.8 ns | 50.8 ns (1.88×) | 48.6 ns (1.97×) |
value.clock_seq_hi_variant |
96.1 ns | 46.2 ns (2.08×) | 44.5 ns (2.16×) |
value.clock_seq_low |
96.4 ns | 45.6 ns (2.11×) | 44.3 ns (2.18×) |
value.node |
78.9 ns | 54.3 ns (1.45×) | 53.2 ns (1.48×) |
value.time |
550.0 ns | 54.1 ns (10.16×) | 53.2 ns (10.34×) |
value.clock_seq |
181.5 ns | 50.1 ns (3.62×) | 48.8 ns (3.72×) |
value.urn |
413.0 ns | 101.4 ns (4.08×) | 64.2 ns (6.43×) |
value.variant |
115.1 ns | 59.9 ns (1.92×) | 43.6 ns (2.64×) |
value.version |
175.3 ns | 46.1 ns (3.80×) | 43.7 ns (4.01×) |
value.is_safe |
40.2 ns | 94.3 ns (0.43×) | 40.3 ns (1.00×) |
sorted(values) |
494,154 ns | 260,985 ns (1.89×) | 146,656 ns (3.37×) |
| Speedup (geomean)* | 1.00× | 2.15× | 2.60× |
* Geomean uses only operation groups where every displayed candidate has valid timing data.
Ran on Apple M1 macOS 15.0.1 CPython 3.14.5 best of 5 repeats after autoranging each case to at least 100ms using 2 worker process(es), nice adjusted by -20, thread QoS set to USER_INTERACTIVE.
1 maintainer
Metadata
1 maintainer
Release files for uuideal 0.2.0
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