nwgrad

Differentiable sequence alignment. nwgrad runs Needleman–Wunsch (global) and Smith–Waterman (local) alignment and returns not just the score but its gradient with respect to the substitution matrix and the gap penalties — so alignment parameters can be learned by gradient descent, inside any ML pipeline.

score, grad = nwgrad.SeqPair("PLEASANTLY", "MEANLY", params).score_and_grad()
params = params + 0.01 * grad   # every matrix cell and all four gap costs move together

Why nwgrad

Gradients, not just scores. The hard gradient counts substitution pairs and gap positions along the optimal path (a subgradient of the Viterbi score). The soft gradient is the exact gradient of the log-partition function over all alignments, computed by forward–backward in log space. Matrix and gap fields share one sign convention, so a single update rule moves them all.
Fast. Striped SIMD kernels for SSE2, AVX2, AVX-512 and NEON ship in one binary and are chosen at runtime. Every one is bit-exact with the scalar reference: the instruction set is a speed knob, never a correctness one. Batches run on all cores; measured at 6.4 billion DP cells per second on a 16-thread laptop CPU (Intel i7-11850H, AVX-512, float32).
Linear memory for long sequences. Affine global alignment defaults to Hirschberg (Myers–Miller) traceback, which keeps O(m+n) state instead of O(m×n) tables: titin (35,991 residues) aligned against itself needs about 0.9 MB of DP memory per thread rather than 3.9 GB.
Built for training loops. Sequences are validated and encoded once and reused across steps. After a parameter update, banded re-alignment around the previous path costs O(length × bandwidth) instead of a full O(m × n) DP.
Any alphabet. Protein, DNA, RNA or your own symbol set; asymmetric matrices and asymmetric gap costs; BLOSUM, PAM, VTML and NUC44 included.
Python and C++. nanobind bindings with zero-copy numpy interop over a header-only C++20 core.

Installation

pip install nwgrad

Prebuilt wheels cover CPython 3.10–3.14 on Linux x86_64 / aarch64 and macOS arm64. Anywhere else pip builds from source, which needs a C++20 compiler with libstdc++'s <experimental/simd>: GCC 11+, or Clang 13+ built against libstdc++. Apple's system clang (libc++) and MSVC lack that header — on macOS use Homebrew gcc; Windows is not supported.

Quick start

import nwgrad
from nwgrad.matrices import BLOSUM62        # ready-made SubstMatrix, alphabet included

params = nwgrad.AlignParams(BLOSUM62,
                            gap_open_a=11.0, gap_extend_a=1.0,
                            gap_open_b=11.0, gap_extend_b=1.0)

sp = nwgrad.SeqPair("PLEASANTLY", "MEANLY", params,
                    gap_model="affine",     # or "linear"
                    mode="global",          # or "local"
                    grad_mode="hard")       # or "soft", or "none"

score, grad = sp.score_and_grad()
print(score)
print(sp.formatted())                       # the alignment, ready to read
g = grad.to_dict()                          # numpy matrix + the four gap fields
print(g["matrix"].shape, g["gap_open_a"], g["gap_extend_b"])

A gradient is itself an AlignParams, so params + lr * grad is a complete update step. Gap penalties are costs: a gap of length k costs gap_extend * k (linear) or gap_open + gap_extend * k (affine), matching BioPython; _a applies to gaps in sequence A, _b to gaps in sequence B.

Learning a substitution matrix

Any differentiable objective over alignment scores works. Here, a contrastive one: make a set of pairs you believe are homologous score higher than a set of decoys.

pos = nwgrad.SeqPairBatch()                 # all cores by default
neg = nwgrad.SeqPairBatch()
pos.add_many(homologs_a, homologs_b, params, grad_mode="soft")
neg.add_many(decoys_a, decoys_b, params, grad_mode="soft")

for step in range(100):
    margin = pos.score_and_grad() - neg.score_and_grad()     # sums of log Z
    grad = pos.compute_grad() - neg.compute_grad()            # d margin / d params
    params = params + 1e-3 * grad
    pos.set_params(params)
    neg.set_params(params)

add_many() builds the pairs in parallel C++ with no per-pair Python objects, so batches of millions of pairs are cheap to set up. Per-pair scores and gradients are available too (batch.scores(), batch.grads(), batch.weighted_grad(weights), batch[i]), for objectives that weight each pair differently.

Good to know

Precision. The plain names (SeqPair, SeqPairBatch, nw_score, …) run the DP in float32; SeqPairDouble, SeqPairBatchDouble, nw_score_double, … run it in float64. Inputs and outputs are float64 either way.
Stateless one-offs. Twelve functions (nw_score, sw_affine_grad, nw_affine_soft_grad, …) align a single pair without keeping any state.
C++. python -m nwgrad --include prints the path to the header-only library.

Documentation

Python API reference — Alphabet, SubstMatrix, AlignParams, SeqPair, SeqPairBatch, BatchAligner and the convenience functions, with every argument and contract.
Precision, traceback modes and SIMD kernels — what the defaults are, when to change them, and what each choice costs.
C++ library and building from source — using the headers directly, running the C++ and sanitizer test suites.

License

MIT — see LICENSE.

Development Status
- 4 - Beta
Operating System
- OS Independent
Programming Language
- Python :: 3
Topic
- Software Development :: Libraries :: Python Modules

Metadata

Development Status
- 4 - Beta
Operating System
- OS Independent
Programming Language
- Python :: 3
Topic
- Software Development :: Libraries :: Python Modules

Release files for nwgrad 0.5.1

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Source distribution (sdist)

Source distribution for nwgrad 0.5.1
File	Size	Uploaded
nwgrad-0.5.1.tar.gz	133.4 kB	Oct 2, 2026	Details

Built distributions (wheels)

Table of built distributions (wheels) for nwgrad 0.5.1
File	Interpreter	ABI	Platform	Reset
nwgrad-0.5.1-cp315-cp315t-musllinux_1_2_x86_64.whl 1.3 MB Oct 2, 2026	CPython 3.15	CPython 3.15 free-threading	Linux musl 1.2+ x86-64	Details
nwgrad-0.5.1-cp315-cp315t-musllinux_1_2_aarch64.whl 1.1 MB Oct 2, 2026	CPython 3.15	CPython 3.15 free-threading	Linux musl 1.2+ ARM64	Details
nwgrad-0.5.1-cp315-cp315t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 855.4 kB Oct 2, 2026	CPython 3.15	CPython 3.15 free-threading	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
nwgrad-0.5.1-cp315-cp315t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl 654.8 kB Oct 2, 2026	CPython 3.15	CPython 3.15 free-threading	Linux glibc 2.26+ ARM64, Linux glibc 2.28+ ARM64	Details
nwgrad-0.5.1-cp315-cp315t-macosx_11_0_arm64.whl 769.3 kB Oct 2, 2026	CPython 3.15	CPython 3.15 free-threading	macOS 11.0+ ARM64	Details
nwgrad-0.5.1-cp315-cp315-musllinux_1_2_x86_64.whl 1.3 MB Oct 2, 2026	CPython 3.15	CPython 3.15	Linux musl 1.2+ x86-64	Details
nwgrad-0.5.1-cp315-cp315-musllinux_1_2_aarch64.whl 1.1 MB Oct 2, 2026	CPython 3.15	CPython 3.15	Linux musl 1.2+ ARM64	Details
nwgrad-0.5.1-cp315-cp315-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 852.9 kB Oct 2, 2026	CPython 3.15	CPython 3.15	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
nwgrad-0.5.1-cp315-cp315-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl 651.0 kB Oct 2, 2026	CPython 3.15	CPython 3.15	Linux glibc 2.28+ ARM64, Linux glibc 2.26+ ARM64	Details
nwgrad-0.5.1-cp315-cp315-macosx_11_0_arm64.whl 767.3 kB Oct 2, 2026	CPython 3.15	CPython 3.15	macOS 11.0+ ARM64	Details
nwgrad-0.5.1-cp314-cp314t-musllinux_1_2_x86_64.whl 1.3 MB Oct 2, 2026	CPython 3.14	CPython 3.14 free-threading	Linux musl 1.2+ x86-64	Details
nwgrad-0.5.1-cp314-cp314t-musllinux_1_2_aarch64.whl 1.1 MB Oct 2, 2026	CPython 3.14	CPython 3.14 free-threading	Linux musl 1.2+ ARM64	Details
nwgrad-0.5.1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 856.2 kB Oct 2, 2026	CPython 3.14	CPython 3.14 free-threading	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
nwgrad-0.5.1-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl 654.8 kB Oct 2, 2026	CPython 3.14	CPython 3.14 free-threading	Linux glibc 2.26+ ARM64, Linux glibc 2.28+ ARM64	Details
nwgrad-0.5.1-cp314-cp314t-macosx_11_0_arm64.whl 768.8 kB Oct 2, 2026	CPython 3.14	CPython 3.14 free-threading	macOS 11.0+ ARM64	Details
nwgrad-0.5.1-cp314-cp314-musllinux_1_2_x86_64.whl 1.3 MB Oct 2, 2026	CPython 3.14	CPython 3.14	Linux musl 1.2+ x86-64	Details
nwgrad-0.5.1-cp314-cp314-musllinux_1_2_aarch64.whl 1.1 MB Oct 2, 2026	CPython 3.14	CPython 3.14	Linux musl 1.2+ ARM64	Details
nwgrad-0.5.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 852.7 kB Oct 2, 2026	CPython 3.14	CPython 3.14	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
nwgrad-0.5.1-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl 650.8 kB Oct 2, 2026	CPython 3.14	CPython 3.14	Linux glibc 2.26+ ARM64, Linux glibc 2.28+ ARM64	Details
nwgrad-0.5.1-cp314-cp314-macosx_11_0_arm64.whl 767.2 kB Oct 2, 2026	CPython 3.14	CPython 3.14	macOS 11.0+ ARM64	Details
nwgrad-0.5.1-cp313-cp313-musllinux_1_2_x86_64.whl 1.3 MB Oct 2, 2026	CPython 3.13	CPython 3.13	Linux musl 1.2+ x86-64	Details
nwgrad-0.5.1-cp313-cp313-musllinux_1_2_aarch64.whl 1.1 MB Oct 2, 2026	CPython 3.13	CPython 3.13	Linux musl 1.2+ ARM64	Details
nwgrad-0.5.1-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 852.4 kB Oct 2, 2026	CPython 3.13	CPython 3.13	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
nwgrad-0.5.1-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl 650.5 kB Oct 2, 2026	CPython 3.13	CPython 3.13	Linux glibc 2.28+ ARM64, Linux glibc 2.26+ ARM64	Details
nwgrad-0.5.1-cp313-cp313-macosx_11_0_arm64.whl 766.6 kB Oct 2, 2026	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
nwgrad-0.5.1-cp312-cp312-musllinux_1_2_x86_64.whl 1.3 MB Oct 2, 2026	CPython 3.12	CPython 3.12	Linux musl 1.2+ x86-64	Details
nwgrad-0.5.1-cp312-cp312-musllinux_1_2_aarch64.whl 1.1 MB Oct 2, 2026	CPython 3.12	CPython 3.12	Linux musl 1.2+ ARM64	Details
nwgrad-0.5.1-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 852.4 kB Oct 2, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
nwgrad-0.5.1-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl 650.6 kB Oct 2, 2026	CPython 3.12	CPython 3.12	Linux glibc 2.26+ ARM64, Linux glibc 2.28+ ARM64	Details
nwgrad-0.5.1-cp312-cp312-macosx_11_0_arm64.whl 766.4 kB Oct 2, 2026	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
nwgrad-0.5.1-cp311-cp311-musllinux_1_2_x86_64.whl 1.3 MB Oct 2, 2026	CPython 3.11	CPython 3.11	Linux musl 1.2+ x86-64	Details
nwgrad-0.5.1-cp311-cp311-musllinux_1_2_aarch64.whl 1.1 MB Oct 2, 2026	CPython 3.11	CPython 3.11	Linux musl 1.2+ ARM64	Details
nwgrad-0.5.1-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 856.9 kB Oct 2, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64	Details
nwgrad-0.5.1-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl 657.0 kB Oct 2, 2026	CPython 3.11	CPython 3.11	Linux glibc 2.26+ ARM64, Linux glibc 2.28+ ARM64	Details
nwgrad-0.5.1-cp311-cp311-macosx_11_0_arm64.whl 769.5 kB Oct 2, 2026	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
nwgrad-0.5.1-cp310-cp310-musllinux_1_2_x86_64.whl 1.3 MB Oct 2, 2026	CPython 3.10	CPython 3.10	Linux musl 1.2+ x86-64	Details
nwgrad-0.5.1-cp310-cp310-musllinux_1_2_aarch64.whl 1.1 MB Oct 2, 2026	CPython 3.10	CPython 3.10	Linux musl 1.2+ ARM64	Details
nwgrad-0.5.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl 857.3 kB Oct 2, 2026	CPython 3.10	CPython 3.10	Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64	Details
nwgrad-0.5.1-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl 657.3 kB Oct 2, 2026	CPython 3.10	CPython 3.10	Linux glibc 2.26+ ARM64, Linux glibc 2.28+ ARM64	Details
nwgrad-0.5.1-cp310-cp310-macosx_11_0_arm64.whl 769.8 kB Oct 2, 2026	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details

Total release size: 37.5 MB

Release files / nwgrad-0.5.1.tar.gz

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Size	1.3 MB
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Publishing repository: github.com/michalsta/nwgrad
Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

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Release files / nwgrad-0.5.1-cp315-cp315-musllinux_1_2_aarch64.whl

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Identity

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Release files / nwgrad-0.5.1-cp315-cp315-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

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Release files / nwgrad-0.5.1-cp315-cp315-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl

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Identity

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Release files / nwgrad-0.5.1-cp314-cp314t-musllinux_1_2_aarch64.whl

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Release files / nwgrad-0.5.1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

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Publishing repository: github.com/michalsta/nwgrad
Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

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Release files / nwgrad-0.5.1-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl

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Identity

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Publishing repository: github.com/michalsta/nwgrad
Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

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Release files / nwgrad-0.5.1-cp314-cp314t-macosx_11_0_arm64.whl

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Publishing repository: github.com/michalsta/nwgrad
Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

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Release files / nwgrad-0.5.1-cp314-cp314-musllinux_1_2_x86_64.whl

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Identity

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Publishing repository: github.com/michalsta/nwgrad
Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

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Release files / nwgrad-0.5.1-cp314-cp314-musllinux_1_2_aarch64.whl

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Publishing repository: github.com/michalsta/nwgrad
Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

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Release files / nwgrad-0.5.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

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Identity

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Publishing repository: github.com/michalsta/nwgrad
Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

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Release files / nwgrad-0.5.1-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl

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Provenance

Identity

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Publishing repository: github.com/michalsta/nwgrad
Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

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Release files / nwgrad-0.5.1-cp314-cp314-macosx_11_0_arm64.whl

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Provenance

Identity

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Publishing repository: github.com/michalsta/nwgrad
Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

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Release files / nwgrad-0.5.1-cp313-cp313-musllinux_1_2_x86_64.whl

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Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

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Publishing repository: github.com/michalsta/nwgrad
Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

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Publishing repository: github.com/michalsta/nwgrad
Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

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Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

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Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

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Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

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Release files / nwgrad-0.5.1-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl

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Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

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Identity

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Publishing repository: github.com/michalsta/nwgrad
Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

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Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/michalsta/nwgrad
Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

Workflow

Publishing configuration: github.com/michalsta/nwgrad/blob/51024c6734eb62487875b43a4582448157ee91c4/.github/workflows/wheels.yml
Publishing logs: github.com/michalsta/nwgrad/actions/runs/36990947549/attempts/2

Artifact

Subject: nwgrad-0.5.1-cp310-cp310-musllinux_1_2_x86_64.whl
SHA-256 checksum: c317b070f3861539c605de971fde66394c5de23e8bbef1c051e9c38332fc3290 Verifying attestations

Release files / nwgrad-0.5.1-cp310-cp310-musllinux_1_2_aarch64.whl

Download URL	nwgrad-0.5.1-cp310-cp310-musllinux_1_2_aarch64.whl
Size	1.1 MB
Tags	CPython 3.10 Linux musl 1.2+ ARM64
SHA-256 checksum How to use checksums	`0e01b42a82cbdb65f5e451a7bc9691c94fb703259478f22904dcc63463966211`
BLAKE2b-256 checksum How to use checksums	`c31e4337654e8974a03d70737b379b5c26b346c1febad301c853c123535b6a28`
Upload date	Oct 2, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/michalsta/nwgrad
Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

Workflow

Publishing configuration: github.com/michalsta/nwgrad/blob/51024c6734eb62487875b43a4582448157ee91c4/.github/workflows/wheels.yml
Publishing logs: github.com/michalsta/nwgrad/actions/runs/36990947549/attempts/2

Artifact

Subject: nwgrad-0.5.1-cp310-cp310-musllinux_1_2_aarch64.whl
SHA-256 checksum: 0e01b42a82cbdb65f5e451a7bc9691c94fb703259478f22904dcc63463966211 Verifying attestations

Release files / nwgrad-0.5.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL	nwgrad-0.5.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size	857.3 kB
Tags	CPython 3.10 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`5c9eb44f8c9ca2bc359960d15af9b97b12425863b523c55abbf0d761f07a2581`
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Upload date	Oct 2, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/michalsta/nwgrad
Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

Workflow

Publishing configuration: github.com/michalsta/nwgrad/blob/51024c6734eb62487875b43a4582448157ee91c4/.github/workflows/wheels.yml
Publishing logs: github.com/michalsta/nwgrad/actions/runs/36990947549/attempts/2

Artifact

Subject: nwgrad-0.5.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: 5c9eb44f8c9ca2bc359960d15af9b97b12425863b523c55abbf0d761f07a2581 Verifying attestations

Release files / nwgrad-0.5.1-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl

Download URL	nwgrad-0.5.1-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl
Size	657.3 kB
Tags	CPython 3.10 Linux glibc 2.26+ ARM64 Linux glibc 2.28+ ARM64
SHA-256 checksum How to use checksums	`a882610845559af8464904f7c8543697136316bbfb54629820f668b267957f03`
BLAKE2b-256 checksum How to use checksums	`0955fc50a31fa18deaa80a470dac9bb0a506b97dace12cf83ee3257265833c5a`
Upload date	Oct 2, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/michalsta/nwgrad
Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

Workflow

Publishing configuration: github.com/michalsta/nwgrad/blob/51024c6734eb62487875b43a4582448157ee91c4/.github/workflows/wheels.yml
Publishing logs: github.com/michalsta/nwgrad/actions/runs/36990947549/attempts/2

Artifact

Subject: nwgrad-0.5.1-cp310-cp310-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl
SHA-256 checksum: a882610845559af8464904f7c8543697136316bbfb54629820f668b267957f03 Verifying attestations

Release files / nwgrad-0.5.1-cp310-cp310-macosx_11_0_arm64.whl

Download URL	nwgrad-0.5.1-cp310-cp310-macosx_11_0_arm64.whl
Size	769.8 kB
Tags	CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`890e585ebaf4080cc54ddba41d0868c01add2343f59431aaca30ca446b156ab0`
BLAKE2b-256 checksum How to use checksums	`fc0662633c006a6f19524fa0ca3aa61a967dd357f41ce57fbf0443c0d786dbf1`
Upload date	Oct 2, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/michalsta/nwgrad
Publishing commit: github.com/michalsta/nwgrad/tree/51024c6734eb62487875b43a4582448157ee91c4

Workflow

Publishing configuration: github.com/michalsta/nwgrad/blob/51024c6734eb62487875b43a4582448157ee91c4/.github/workflows/wheels.yml
Publishing logs: github.com/michalsta/nwgrad/actions/runs/36990947549/attempts/2

Artifact

Subject: nwgrad-0.5.1-cp310-cp310-macosx_11_0_arm64.whl
SHA-256 checksum: 890e585ebaf4080cc54ddba41d0868c01add2343f59431aaca30ca446b156ab0 Verifying attestations