interpax

Interpolation and function approximation with JAX

Science Score: 77.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
✓
.zenodo.json file
Found .zenodo.json file
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DOI references
Found 1 DOI reference(s) in README
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Academic publication links
Links to: zenodo.org
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Committers with academic emails
1 of 7 committers (14.3%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (12.4%) to scientific vocabulary

Keywords from Contributors

transformers charts distribution annotation sequences stellarator energy-system-model energy-system autograding diffusers

Last synced: 6 months ago · JSON representation ·

Repository

Interpolation and function approximation with JAX

Basic Info

Host: GitHub
Owner: f0uriest
License: mit
Language: Python
Default Branch: main
Size: 321 KB

Statistics

Stars: 213
Watchers: 3
Forks: 25
Open Issues: 18
Releases: 16

Created over 2 years ago · Last pushed 7 months ago

Metadata Files

Readme Changelog Contributing License Citation

README.rst

########
interpax
########
|License| |DOI| |Issues| |Pypi|

|Docs| |UnitTests| |Codecov|

interpax is a library for interpolation and function approximation using JAX.

Includes methods for nearest neighbor, linear, and several cubic interpolation schemes
in 1d, 2d, and 3d, as well as Fourier interpolation for periodic functions in
1d and 2d.

Coming soon:
- Spline interpolation for rectilinear grids in N-dimensions
- RBF interpolation for unstructured data in N-dimensions
- Smoothing splines for noisy data


Installation
============

interpax is installable with `pip`:

.. code-block:: console

    pip install interpax



Usage
=====

.. code-block:: python

    import jax.numpy as jnp
    import numpy as np
    from interpax import interp1d

    xp = jnp.linspace(0, 2 * np.pi, 100)
    xq = jnp.linspace(0, 2 * np.pi, 10000)
    f = lambda x: jnp.sin(x)
    fp = f(xp)

    fq = interp1d(xq, xp, fp, method="cubic")
    np.testing.assert_allclose(fq, f(xq), rtol=1e-6, atol=1e-5)


For full details of various options see the `API documentation `__


.. |License| image:: https://img.shields.io/github/license/f0uriest/interpax?color=blue&logo=open-source-initiative&logoColor=white
    :target: https://github.com/f0uriest/interpax/blob/master/LICENSE
    :alt: License

.. |DOI| image:: https://zenodo.org/badge/706703896.svg
    :target: https://zenodo.org/doi/10.5281/zenodo.10028967
    :alt: DOI

.. |Docs| image:: https://img.shields.io/readthedocs/interpax?logo=Read-the-Docs
    :target: https://interpax.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation

.. |UnitTests| image:: https://github.com/f0uriest/interpax/actions/workflows/unittest.yml/badge.svg
    :target: https://github.com/f0uriest/interpax/actions/workflows/unittest.yml
    :alt: UnitTests

.. |Codecov| image:: https://codecov.io/github/f0uriest/interpax/graph/badge.svg?token=MB11I7WE3I
    :target: https://codecov.io/github/f0uriest/interpax
    :alt: Coverage

.. |Issues| image:: https://img.shields.io/github/issues/f0uriest/interpax
    :target: https://github.com/f0uriest/interpax/issues
    :alt: GitHub issues

.. |Pypi| image:: https://img.shields.io/pypi/v/interpax
    :target: https://pypi.org/project/interpax/
    :alt: Pypi

Owner

Name: Rory Conlin
Login: f0uriest
Kind: user

Repositories: 3
Profile: https://github.com/f0uriest

PhD student, Princeton Plasma Physics Laboratory. Machine learning, dynamical systems, plasma stability and control.

Citation (CITATION.cff)

cff-version: 1.2.0
title: interpax
message: >-
  If you use this software, please cite it using the
  metadata from this file. To cite a specific version of interpax,
  please cite the correct version from Zenodo at
  https://zenodo.org/doi/10.5281/zenodo.10028967
type: software
authors:
  - given-names: Rory
    family-names: Conlin
    email: wconlin@princeton.edu
    affiliation: Princeton University
    orcid: 'https://orcid.org/0000-0001-8366-2111'
identifiers:
  - type: doi
    value: 10.5281/zenodo.10028967
    description: 'Master DOI for interpax, points to latest release.'
  - type: url
    value: 'https://github.com/f0uriest/interpax'
    description: 'Github repository for interpax'
repository-code: 'https://github.com/f0uriest/interpax'
url: 'https://interpax.readthedocs.io'
repository-artifact: 'https://pypi.org/project/interpax/'
license: MIT

GitHub Events

Total

Create event: 55
Issues event: 22
Release event: 6
Watch event: 78
Delete event: 40
Issue comment event: 91
Push event: 67
Pull request review comment event: 2
Pull request review event: 35
Pull request event: 102
Fork event: 10

Last Year

Create event: 55
Issues event: 22
Release event: 6
Watch event: 78
Delete event: 40
Issue comment event: 91
Push event: 67
Pull request review comment event: 2
Pull request review event: 35
Pull request event: 102
Fork event: 10

Committers

Last synced: 10 months ago

All Time

Total Commits: 93
Total Committers: 7
Avg Commits per committer: 13.286
Development Distribution Score (DDS): 0.409

Past Year

Commits: 48
Committers: 6
Avg Commits per committer: 8.0
Development Distribution Score (DDS): 0.438

Top Committers

Name	Email	Commits
Rory Conlin	r**n@g**m	55
dependabot[bot]	4****]	27
Nathaniel Starkman	n****n	4
Allen Wang	a**w@m**u	3
Troy Tamas	t**s@d**m	2
Matthew R. Becker	b****r	1
Carlos Pascual		1

Committer Domains (Top 20 + Academic)

doplaydo.com: 1 mit.edu: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 37
Total pull requests: 120
Average time to close issues: 21 days
Average time to close pull requests: 12 days
Total issue authors: 25
Total pull request authors: 11
Average comments per issue: 1.35
Average comments per pull request: 0.98
Merged pull requests: 91
Bot issues: 0
Bot pull requests: 60

Past Year

Issues: 18
Pull requests: 102
Average time to close issues: 9 days
Average time to close pull requests: 4 days
Issue authors: 14
Pull request authors: 10
Average comments per issue: 1.17
Average comments per pull request: 0.96
Merged pull requests: 74
Bot issues: 0
Bot pull requests: 60

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Top Authors

Issue Authors

unalmis (5)
nstarman (3)
f0uriest (3)
mjo22 (2)
cpascual (2)
dpanici (2)
jlperla (1)
joglekara (1)
ToshiyukiBandai (1)
LouisDesdoigts (1)
Ceyron (1)
LunarLanding (1)
kazewong (1)
divyamin2507 (1)
jaeminoh (1)

Pull Request Authors

dependabot[bot] (60)
f0uriest (50)
nstarman (6)
gerlero (4)
tvt173 (2)
terhorst (2)
Qazalbash (2)
beckermr (2)
cpascual (2)
mtruel (1)
allen-adastra (1)

Top Labels

Issue Labels

enhancement (3)

Pull Request Labels

dependencies (60) python (56) github_actions (4)

Packages

Total packages: 1
Total downloads:
- pypi 22,718 last-month

Total dependent packages: 2
Total dependent repositories: 0
Total versions: 17
Total maintainers: 1

pypi.org: interpax

Interpolation and function approximation with JAX

Homepage: https://github.com/f0uriest/interpax
Documentation: https://interpax.readthedocs.io/
License: MIT
Latest release: 0.3.10
published 7 months ago

Versions: 17
Dependent Packages: 2
Dependent Repositories: 0
Downloads: 22,718 Last month

Rankings

Dependent packages count: 9.1%

Average: 38.7%

Dependent repos count: 68.3%

Maintainers (1)

f0uriest

Last synced: 6 months ago

ecosyste.ms

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interpax

Science Score: 77.0%

Keywords from Contributors

Repository

Basic Info

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Metadata Files

README.rst

Owner

Citation (CITATION.cff)

GitHub Events

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pypi.org: interpax

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