Skip to main content

License: MIT arXiv DOI

pyerrors

pyerrors is a python framework for error computation and propagation of Markov chain Monte Carlo data from lattice field theory and statistical mechanics simulations.

Installation

Install the most recent release using pip and pypi:

python -m pip install pyerrors     # Fresh install
python -m pip install -U pyerrors  # Update

Contributing

We appreciate all contributions to the code, the documentation and the examples. If you want to get involved please have a look at our contribution guideline.

Citing pyerrors

If you use pyerrors for research that leads to a publication we suggest citing the following papers:

  • Fabian Joswig, Simon Kuberski, Justus T. Kuhlmann, Jan Neuendorf, pyerrors: a python framework for error analysis of Monte Carlo data. Comput.Phys.Commun. 288 (2023) 108750.
  • Ulli Wolff, Monte Carlo errors with less errors. Comput.Phys.Commun. 156 (2004) 143-153, Comput.Phys.Commun. 176 (2007) 383 (erratum).
  • Alberto Ramos, Automatic differentiation for error analysis of Monte Carlo data. Comput.Phys.Commun. 238 (2019) 19-35.
  • Stefan Schaefer, Rainer Sommer, Francesco Virotta, Critical slowing down and error analysis in lattice QCD simulations. Nucl.Phys.B 845 (2011) 93-119.

Release files for pyerrors 2.17.0

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

Source distribution (sdist)

Source distribution for pyerrors 2.17.0
File Size Uploaded
pyerrors-2.17.0.tar.gz 106.2 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pyerrors 2.17.0
File Interpreter ABI Platform
pyerrors-2.17.0-py3-none-any.whl Python 3 none any Details

Total release size: 220.5 kB

Release files / pyerrors-2.17.0.tar.gz

Download URL pyerrors-2.17.0.tar.gz
Size 106.2 kB
Tags Source
SHA-256 checksum
How to use checksums
079935574bc97151f382353f121175598194973830be55a02ea96cbc7d170493
BLAKE2b-256 checksum
How to use checksums
9a15b65b7ebffb1a650ea38c6d41970f5d151ddb545e13df8f0d956df51f81ff
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

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 Mar 29, 2026.

Transparency log

Release files / pyerrors-2.17.0-py3-none-any.whl

Download URL pyerrors-2.17.0-py3-none-any.whl
Size 114.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
7889b1b9de65ed413bb4b6acfb7aba02a30e1fcf54389423507662b11a55479c
BLAKE2b-256 checksum
How to use checksums
fe5d46bdddcec2086d3daa62119539b86242cffb930b2f0d029da7c52825c15d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

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 Mar 29, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

2.17.0 This release

2 release files

2.16.0

2 release files

2.15.1

2 release files

2.15.0

2 release files

2.12.0

2 release files

2.11.1

2 release files

2.10.0

2 release files

2.9.0

2 release files

2.8.2

2 release files

2.8.1

2 release files

2.8.0

2 release files

2.7.0

2 release files

2.6.0

2 release files

2.5.0

2 release files

2.4.0

2 release files

2.3.1

2 release files

2.3.0

2 release files

2.2.0

2 release files

2.1.3

2 release files

2.1.2

2 release files

2.1.1

2 release files

2.1.0

2 release files

2.0.0

2 release files

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