fastuuid7

CI PyPI version Python versions License

High-performance, fork-safe UUIDv7 generation for Python 3.9-3.14, implemented in C and compatible with Python's uuid.UUID API.

Features

  • RFC 9562 UUIDv7 layout with monotonic ordering within a millisecond
  • Random fields sourced from the operating-system CSPRNG
  • Automatic entropy and counter reset after a process fork
  • uuid.uuid7()-compatible API returning uuid.UUID
  • Native object, canonical string, and raw bytes fast paths
  • Python 3.9-3.14 on Linux, macOS, and Windows
  • Typed fastuuid7 and backward-compatible uuidv7 imports

Python 3.14 includes uuid.uuid7() in the standard library. Use the standard library when it meets your needs. fastuuid7 is intended for older Python versions and workloads that benefit from its explicit output shapes and lower per-call overhead.

Installation

Using uv

uv add fastuuid7

Using pip

pip install fastuuid7

From source

git clone https://github.com/nekrasovp/uuidv7.git
cd uuidv7
uv pip install -e .

Usage

Basic Usage

from fastuuid7 import uuid7

# Generate a UUID v7 (matches Python's uuid.uuid7() API)
u = uuid7()
print(u)        # e.g., 018f1234-5678-7abc-def0-123456789abc
print(repr(u))  # e.g., UUID('018f1234-5678-7abc-def0-123456789abc')
print(u.time)   # Unix timestamp in milliseconds

uuid7() returns a uuid.UUID object, matching Python's built-in uuid.uuid7() function available in Python 3.14+. Use str(uuid7()) when a string is needed. See Python documentation for details.

Fast Paths

For performance-critical code that does not need a uuid.UUID object:

from fastuuid7 import (
    uuid7_bytes,
    uuid7_bytes_many,
    uuid7_many,
    uuid7_obj,
    uuid7_str,
)

uuid_native = uuid7_obj()
uuid_text = uuid7_str()
uuid_raw = uuid7_bytes()
uuid_batch = uuid7_many(1_000)
packed_batch = uuid7_bytes_many(1_000)  # 16,000 contiguous bytes

uuid7() remains the compatibility API. uuid7_obj() returns a compact native UUIDv7 object for maximum throughput while still supporting str(), int(), bytes(), ordering, hashing, .time, .hex, .fields, .version, and .variant. uuid7_str() and uuid7_bytes() are explicit raw-output fast paths. The *_many() functions generate a batch in one C call; uuid7_bytes_many() uses one contiguous bytes allocation.

The original from uuidv7 import ... path remains supported for existing applications.

See the API reference for complete scalar and batch contracts.

Security properties

Random fields are read from a buffered operating-system CSPRNG. The generator detects PID changes and discards inherited entropy and counters after fork(). UUIDv7 embeds its creation timestamp and is therefore an identifier, not a secret or authentication token. See the security policy.

Examples

For more detailed usage examples, see the examples/ directory:

Quick Start:

# Install the package first (required)
uv pip install -e .

# Run examples using python -m (recommended)
python -m examples.basic_usage
python -m examples.batch_generation
uv run --with sqlalchemy python -m examples.database_usage

# Or using uv run
uv run python -m examples.basic_usage

See the examples README for more details.

Development

Setup

# Install uv if not already installed
curl -LsSf https://astral.sh/uv/install.sh | sh

# Install the project and development dependencies
uv sync --extra dev

Running Tests

# Using pytest
uv run --extra dev pytest

# Using uv
uv run --extra dev pytest tests/

Linting and Formatting

# Run ruff linter
uv run --extra dev ruff check .

# Run ruff formatter
uv run --extra dev ruff format .

# Fix auto-fixable issues
uv run --extra dev ruff check --fix .

# Check the typed public API
uv run --extra dev mypy

Building

# Build wheel
uv build

# Build source distribution
uv build --sdist

Running Benchmarks

# Run performance benchmarks comparing different implementations
python benchmarks/benchmark.py

# Or using uv
uv run python benchmarks/benchmark.py

Performance Benchmarks

Run benchmarks before making speed claims:

python benchmarks/benchmark.py --output benchmark-results.md
python benchmarks/benchmark_competitors.py --install-optional --rounds 5 --output competitor-results.md
python benchmarks/benchmark_batch.py --output batch-results.md
python benchmarks/clock_sources.py --output clock-source-results.md

The benchmark report includes OS, CPU, Python version, package versions, iterations, UUIDs/second, and ns/op for:

  • fastuuid7.uuid7() returning uuid.UUID
  • fastuuid7.uuid7_obj() returning a compact native UUIDv7 object
  • fastuuid7.uuid7_str()
  • fastuuid7.uuid7_bytes()
  • str(fastuuid7.uuid7())
  • Python stdlib uuid.uuid7() when available
  • published fastuuid7==0.1.0 in an isolated temporary environment
  • optional competitors when installed: uuid-utils, fastuuidv7, uuid7, uuid7-rs, c_uuid_v7, uuid-v7, and uuid6

Published benchmark results must describe both the output shape and generation guarantees. In particular, CSPRNG-backed and non-cryptographic generators are not presented as equivalent cases. Release benchmarks are generated in CI from the exact release candidate rather than copied from a developer workstation.

CI/CD

This project uses GitHub Actions for continuous integration and deployment:

  • CI Pipeline (.github/workflows/ci.yml):

    • Runs tests on Python 3.9 through 3.14
    • Runs linting with ruff
    • Builds the package to verify it compiles correctly
    • Triggers on push and pull requests

  • Wheel Pipeline (.github/workflows/wheels.yml):

    • Builds glibc and musl Linux wheels for x86-64 and ARM64
    • Builds macOS x86-64/ARM64 and Windows x86/x86-64/ARM64 wheels
    • Verifies both import paths and the installed batch API

  • Publish Pipeline (.github/workflows/publish.yml):

    • Automatically publishes to PyPI when a new release is created
    • Builds platform wheels with cibuildwheel plus an sdist before publishing
    • Uses trusted publishing (no API tokens required)
    • Can be manually triggered via workflow_dispatch, but GitHub Releases are the recommended release path

Publishing a New Release

Follow the complete release checklist, including the security-advisory order for 0.3.0.

  1. Run tests, builds, and benchmarks.
  2. Review benchmark results and decide whether optimization is needed.
  3. Verify all source versions with python tools/check_release_version.py v0.3.0.
  4. Create a new GitHub Release.
  5. The workflow will validate, build, inspect, and publish the distributions.

License

MIT License - see LICENSE file for details.

Author

Pavel Nekrasov

Project links

Data verified by PyPI on Jul 12, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for nekrasovp from gravatar.com nekrasovp

Credits

Author: Pavel Nekrasov

GitHub Statistics

Data verified by PyPI on Jul 12, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python >=3.9

Provides Extra

dev release

Tags

uuid uuidv7 uuid-v7 rfc9562 identifier database

Classifiers

Report project as malware

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Publisher: publish.yml on nekrasovp/uuidv7

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