Skip to main content

biglogo

FIESTA: Field Interpolation and Estimation using Spatial Techniques and Algorithms

Python Tests Python Version Support Version PyPI version Documentation Status GitHub repository github: stars github: forks License: MIT zenodo: DOI

Introduction

FIESTA (Field Interpolation and Estimation using Spatial Techniques and Algorithms) is a Python library for interpolating and estimating fields from regularly and irregularly distributed data in two and three dimensions. It provides a range of numerical methods, including particle-to-grid assignment, Delaunay Tessellation Field Estimation (DTFE), Smoothed Particle Hydrodynamics (SPH) interpolation, and grid-based interpolation. Computationally intensive operations are accelerated using numba for improved performance.

The library also provides optional MPI parallelisation for processing large datasets by distributing computations across multiple processes. This functionality relies on mpi4py and the MPI object provided by the shift-fft package (see documentation), which is passed as an additional argument to MPI-enabled functions.

Dependencies

Installation

FIESTA can be installed via pip:

    pip install fiesta-pkg

or by cloning the repository:

    git clone https://github.com/knaidoo29/FIESTA.git
    cd FIESTA
    pip install .

Once this is done you should be able to call fiesta from python:

    import fiesta

To use the MPI functionality please take a look at the documentation in FIESTA which instructs users how to use the shift-fft MPI object and how to run these distributed jobs successfully without errors or MPI related hanging.

Documentation

In depth documentation and tutorials are provided here.

Showcase

The 2D density field computed with FIESTA (from the outputs of a cosmological simulation):

exampledens

The velocity-field along the z-axis computed with FIESTA (from the outputs of a cosmological simulation):

examplevz

License

FIESTA is released under the MIT License. See LICENSE for details.

Citation

If you use FIESTA in your work, please cite:

biglogo

    @software{naidoo_fiesta_2026,
      author       = {Krishna Naidoo},
      title        = {FIESTA: Field Interpolation and Estimation using Spatial Techniques and Algorithms},
      month        = may,
      year         = 2026,
      publisher    = {Zenodo},
      doi          = {10.5281/zenodo.20328944},
      url          = {https://doi.org/10.5281/zenodo.20328944},
    }

Support

If you have any issues with the code or want to suggest ways to improve it please open a new issue (here) or (if you don't have a github account) email krishna.naidoo.11@ucl.ac.uk.

Metadata

Release files for fiesta-pkg 1.1.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for fiesta-pkg 1.1.3
File Size Uploaded Provenance Actions
fiesta_pkg-1.1.3.tar.gz 78.1 kB With provenance Details for fiesta_pkg-1.1.3.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for fiesta-pkg 1.1.3
File Interpreter ABI Platform Actions
fiesta_pkg-1.1.3-py3-none-any.whl Python 3 none any Details for fiesta_pkg-1.1.3-py3-none-any.whl

Total release size: 189.0 kB

Release files / fiesta_pkg-1.1.3.tar.gz

Download URL fiesta_pkg-1.1.3.tar.gz
Size 78.1 kB
Tags Source
SHA-256 checksum
How to use checksums
c9ec588145ff1b5639ff8686c07df9b98765a292ac4d6220c19a751f9ccbe4d3
BLAKE2b-256 checksum
How to use checksums
3b54c3cb779a640882702a35516d326ec8df39c0c0d450fd5acf568b9d364e8d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 5, 2026.

Transparency log

Release files / fiesta_pkg-1.1.3-py3-none-any.whl

Download URL fiesta_pkg-1.1.3-py3-none-any.whl
Size 110.9 kB
Tags Python 3
SHA-256 checksum
How to use checksums
842d6bf372934f711fd40e65d56693fb33933070174f5ad7d57aac954244b5bd
BLAKE2b-256 checksum
How to use checksums
3deadc1ec776cab30357fa8f874831602fc610d510baa1d969e9a2640e9757fc
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 5, 2026.

Transparency log

Security for fiesta-pkg 1.1.3

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

Both files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for fiesta_pkg-1.1.3.tar.gz

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Nov 5, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page