SplineOps: Spline Operations

SplineOps is a Python and C++-based N-dimensional signal-processing library with support for GPU computing.

Installation

You need at least Python 3.11 to install SplineOps.

Create and activate your Python virtual environment (on Unix or MacOS)

python -m venv splineops-env
source splineops-env/bin/activate

On Windows,

python -m venv splineops-env
./splineops-env/Scripts/Activate

To deactivate the environment use

deactivate

Minimal requirement:

pip install numpy scipy matplotlib

Simply install SplineOps using pip

pip install splineops

GPU Compatibility

You can benefit of cupy to deploy the Spline Interpolation module in SplineOps. If a specific CUDA version is required, do

pip install cupy cuda-version=12.3

Install cupy development environment in editable mode

pip install -e .[dev_cupy]

Potential other CuPy libraries (CuPy from Conda-Forge)

pip install cupy cutensor cudnn nccl

Development Environment

Install development environment in editable mode

pip install -e .[dev]

Resize Native Backend

The resize module uses the native CPU _lsresize extension when it is available. Set SPLINEOPS_ACCEL=never to force the Python fallback, or SPLINEOPS_ACCEL=always to require the native extension during benchmarking.

Useful benchmark entry points:

python scripts/benchmark_resize_pr.py --profile oblique-pr --output-dir /tmp/splineops_resize_pr_oblique_pr
python scripts/benchmark_resize_pr.py --output-dir /tmp/splineops_resize_pr_current
python scripts/benchmark_resize_projection_methods.py --profile standard --output-csv /tmp/splineops_projection_methods.csv
python scripts/benchmark_resize_native.py --backend both --output-csv /tmp/splineops_native.csv
python scripts/benchmark_resize_libraries.py --output-csv /tmp/splineops_libraries.csv
python scripts/summarize_resize_benchmarks.py report \
  --native /tmp/splineops_native.csv \
  --libraries /tmp/splineops_libraries.csv \
  --output /tmp/splineops_resize_report.md

Current resize behavior and numerical policy are documented in the resize API guide and resize user guide. Breaking changes and migration guidance are recorded in the changelog.

The dated PR preparation notes in scripts/resize_pr_readiness.md, scripts/resize_oblique_pr_brief.md, and scripts/resize_upstream_pr_description.md, together with the close-out scripts/resize_session_handoff.md, are historical records. They describe the implementation and benchmark evidence available at the time, not the current resize contract.

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Release history Release notifications | RSS feed

2.2.0

Jul 17, 2026

2.1.0

Jul 16, 2026

This release

2.0.0

Jul 14, 2026

1.3.0

Jun 19, 2026

1.2.1

Dec 19, 2025

1.2.0

Dec 19, 2025

1.1.1

Dec 10, 2025

1.0.5

Dec 9, 2025

1.0.0

Nov 14, 2025

0.5.5

Oct 21, 2025

0.4.6

May 26, 2025

0.3.6

Sep 23, 2024

splineops 2.0.0

SplineOps: Spline Operations

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