awkward-cpp
CPU kernels and compiled extensions for Awkward Array
Decision gist · record as of 2026-08-14
Yes. awkward-cpp is a production-grade, actively maintained compiled dependency with no known vulnerabilities and permissive dual licensing (BSD-3-Clause and MIT). It has broad platform support via prebuilt wheels for Python 3.10–3.14 across macOS, Linux, Windows, and ARM. Install it when you need compiled acceleration for nested or variable-sized data operations. If you are using the parent library, it is installed automatically.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- If no prebuilt wheel exists for your platform and Python version, installation will attempt to compile from source, requiring a C++ compiler.
- Medium install friction due to compiled wheels for multiple platforms and Python versions (3.10–3.14).
License · maintenance · safety
BSD-3-Clause AND MIT (permissive) — Dual-licensed under BSD-3-Clause and MIT (permissive). Both licenses allow commercial and private use with minimal restrictions, making this safe for most projects.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 975 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,217,279 downloads/mo, #4,206 on PyPI
Alternatives
Verify before relying
pip install awkward-cpp
import numpy
# awkward-cpp is typically used as a compiled backend dependency
# and does not have a direct user-facing API- Whether awkward-cpp provides a public user-facing API or is exclusively a compiled backend dependency.
- Performance characteristics and memory overhead compared to native NumPy for regular (non-nested) arrays.
- Specific use cases where awkward-cpp is installed and used directly rather than as a transitive dependency.
What it is and what it does
awkward-cpp is the compiled C++ backend for a library designed to handle nested, variable-sized data—such as lists of records with mixed types and missing values—using NumPy-like syntax and performance. The package provides optimized kernels that make operations on complex, irregular data structures fast enough for scientific computing workloads. Instead of writing nested Python loops to manipulate deeply nested structures, operations are compiled and executed at near-C speed.
This package is typically installed as a dependency and bridges the gap between Python's ease of use and the performance demands of data-intensive applications. The compiled kernels handle slicing, indexing, filtering, and arithmetic on arbitrarily nested arrays, with behavior that generalizes NumPy semantics to irregular data. It depends on numpy for its runtime operations.
Use it for
- Accelerate high-energy physics event data processing with variable numbers of particles and nested attributes.
- Manipulate ragged arrays in machine learning pipelines where batch sizes or feature counts vary per sample.
- Perform statistical analysis on nested structures without flattening or converting to Python dicts.
- Speed up data transformations in scientific computing where nested loops over irregular data are the bottleneck.
- Provide compiled backend support for libraries handling complex, variable-sized numerical data.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
awkward-cpp is a production-grade, actively maintained compiled dependency with no known vulnerabilities and permissive dual licensing (BSD-3-Clause and MIT). It has broad platform support via prebuilt wheels for Python 3.10–3.14 across macOS, Linux, Windows, and ARM. Install it when you need compiled acceleration for nested or variable-sized data operations. If you are using the parent library, it is installed automatically.
Install
awkward-cpp on PyPI
Before you install
Medium install friction due to compiled wheels for multiple platforms and Python versions (3.10–3.14). Active maintenance with a recent release (0 days since last update) and 975 repository stars signal ongoing support. Prebuilt wheels available for macOS, Linux, Windows, and ARM architectures reduce build-from-source risk.
Requires Python 3.10 or later. If no prebuilt wheel exists for your platform and Python version, installation will attempt to compile from source, requiring a C++ compiler.
License in practice
Dual-licensed under BSD-3-Clause and MIT (permissive). Both licenses allow commercial and private use with minimal restrictions, making this safe for most projects.
Quickstart
pip install awkward-cpp
import numpy
# awkward-cpp is typically used as a compiled backend dependency
# and does not have a direct user-facing APIVerify before relying
- Whether awkward-cpp provides a public user-facing API or is exclusively a compiled backend dependency.
- Performance characteristics and memory overhead compared to native NumPy for regular (non-nested) arrays.
- Specific use cases where awkward-cpp is installed and used directly rather than as a transitive dependency.
Package facts
| License | BSD-3-Clause AND MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 1 packagenumpy |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,217,279 / month, #4,206 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: Information TechnologyIntended Audience :: Science/ResearchOperating System :: MacOS :: MacOS XOperating System :: Microsoft :: WindowsOperating System :: POSIX :: LinuxOperating System :: UnixProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/EngineeringTopic :: Scientific/Engineering :: Information AnalysisTopic :: Scientific/Engineering :: MathematicsTopic :: Scientific/Engineering :: PhysicsTopic :: Software DevelopmentTopic :: Utilities |
Evidence: awkward_cpp-56-cp310-cp310-macosx_10_9_x86_64.whl; awkward_cpp-56-cp310-cp310-macosx_11_0_arm64.whl; awkward_cpp-56-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl; awkward_cpp-56-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl; awkward_cpp-56-cp310-cp310-musllinux_1_2_aarch64.whl; awkward_cpp-56-cp310-cp310-musllinux_1_2_x86_64.whl; awkward_cpp-56-cp310-cp310-win32.whl; awkward_cpp-56-cp310-cp310-win_amd64.whl; awkward_cpp-56-cp311-cp311-macosx_10_9_x86_64.whl; awkward_cpp-56-cp311-cp311-macosx_11_0_arm64.whl; awkward_cpp-56-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl; awkward_cpp-56-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl; awkward_cpp-56-cp311-cp311-musllinux_1_2_aarch64.whl; awkward_cpp-56-cp311-cp311-musllinux_1_2_x86_64.whl; awkward_cpp-56-cp311-cp311-win32.whl; awkward_cpp-56-cp311-cp311-win_amd64.whl; awkward_cpp-56-cp311-cp311-win_arm64.whl; awkward_cpp-56-cp312-cp312-macosx_10_13_x86_64.whl; awkward_cpp-56-cp312-cp312-macosx_11_0_arm64.whl; awkward_cpp-56-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl
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See also awkward · dask-awkward · fastjet · awkward0 · awkward-pandas · array-api-extra · array-record · vector · cpm-kernels · humming-kernels