akima

Akima is a Python library that implements Akima’s interpolation method described in:

A new method of interpolation and smooth curve fitting based on local procedures. Hiroshi Akima, J. ACM, October 1970, 17(4), 589-602.

A continuously differentiable sub-spline is built from piecewise cubic polynomials. It passes through the given data points and will appear smooth and natural.

This module is no longer being actively developed. Consider using scipy.interpolate.Akima1DInterpolator instead.

Author:: Christoph Gohlke
License:: BSD-3-Clause
Version:: 2026.8.8

Quickstart

Install the akima package and all dependencies from the Python Package Index:

python -m pip install -U akima

See Examples for using the programming interface.

Source code, examples, and support are available on GitHub.

Requirements

This revision was tested with the following requirements and dependencies (other versions may work):

CPython 3.12.10, 3.13.15, 3.14.7, 3.15.0rc 64-bit
Numpy 2.5.2

Revisions

2026.8.8

Make C extension ABI3 and free-threading compatible.
Drop support for Python 3.11 and numpy 2.0 (SPEC0).
Support Python 3.15.

2026.1.18

Use multi-phase initialization.
Improve code quality.

2025.8.1

Drop support for Python 3.10, support Python 3.14.

2025.1.1

Drop support for Python 3.9, support Python 3.13.

2024.5.24

Fix docstring examples not correctly rendered on GitHub.
Support NumPy 2.

2024.1.6

Add type hints.
Drop support for Python 3.8 and numpy 1.22 (NEP 29).

2022.9.12

Refer to the CHANGES file for older revisions.

Examples

>>> import numpy
>>> from matplotlib import pyplot
>>> from scipy.interpolate import Akima1DInterpolator
>>> def example():
...     '''Plot interpolated Gaussian noise.'''
...     x = numpy.sort(numpy.random.random(10) * 100)
...     y = numpy.random.normal(0.0, 0.1, size=len(x))
...     x2 = numpy.arange(x[0], x[-1], 0.05)
...     y2 = interpolate(x, y, x2)
...     y3 = Akima1DInterpolator(x, y)(x2)
...     pyplot.title('Akima interpolation of Gaussian noise')
...     pyplot.plot(x2, y2, 'r-', label='akima')
...     pyplot.plot(x2, y3, 'b:', label='scipy', linewidth=2.5)
...     pyplot.plot(x, y, 'go', label='data')
...     pyplot.legend()
...     pyplot.show()
...
>>> example()

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Release history Release notifications | RSS feed

This release

2026.8.8

Aug 9, 2026

2026.1.18

Jan 17, 2026

2025.8.1

Aug 1, 2025

2025.1.1

Jan 2, 2025

2024.5.24

May 25, 2024

2024.1.6

Jan 7, 2024

2022.9.12

Sep 12, 2022

2021.6.6

Jun 6, 2021

2020.1.1

Jan 18, 2020

2019.4.22

Apr 24, 2019

2019.2.20

Feb 20, 2019

2019.1.1

Jan 8, 2019

akima 2026.8.8

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