AnDFN, Analytical Discrete Fracture Network

Introduction

AnDFN is a computer program for the modelling of groundwater flow in a discrete fracture network (DFN). The program is based on the Analytic Element Method (AEM) and is distributed as a Python package with various modules and scripts.

The documentation for AnDFN is available here.

Installation

AnDFN can be installed from PyPi.

Installation:

pip install andfn

Update:

pip install andfn --upgrade

Uninstall

pip uninstall andfn

Dependencies

andfn has the following required dependencies:

numpy
pandas
scipy
pyvista
numba
h5py

and the following optional dependencies:

pyyaml (for using the YAML configuration file)
matplotlib (for some optional plots)

Functionality

AnDFN currently have the following functionality:

Generate random DFN
Compute the intersections of a DFN
Solve the AEM model for a DFN
Plot the flow net for the AEM model
Import DFNs
Load and save DFNs

Getting started

A template for a simple AnDFN model and several examples are available in the examples folder (under development).

Citation

The basic theory for this program is published in:

Otto D.L. Strack, Erik A.L. Toller, An analytic element model for flow in fractured impermeable rock, Journal of Hydrology, 2024, 131983, ISSN 0022-1694, https://doi.org/10.1016/j.jhydrol.2024.131983.

Acknowledgements

The original development of this code was funded by BeFo (Stiftelsen Bergteknisk Forskning) grant number 529.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

andfn-0.1.17.tar.gz (72.5 kB view details)

Uploaded Aug 11, 2026 Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

andfn-0.1.17-py3-none-any.whl (85.6 kB view details)

Uploaded Aug 11, 2026 Python 3

File details

Details for the file andfn-0.1.17.tar.gz.

File metadata

Download URL: andfn-0.1.17.tar.gz
Upload date: Aug 11, 2026
Size: 72.5 kB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for andfn-0.1.17.tar.gz
Algorithm	Hash digest
SHA256	`202158082975f840c589e1d7588ce75b1a1acfa8f8c833d8638584564daa1057`
MD5	`485cca68b6ab6c1950c4d4f9fdc216eb`
BLAKE2b-256	`3cf1437522a66b487787703d1206c0312afd7b186f071b6f03ee22dd2c289ee4`

See more details on using hashes here.

Provenance

The following attestation bundles were made for andfn-0.1.17.tar.gz:

Publisher: publish_and_release.yml on eriktoller/andfn

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: andfn-0.1.17.tar.gz
- Subject digest: 202158082975f840c589e1d7588ce75b1a1acfa8f8c833d8638584564daa1057
- Sigstore transparency entry: 2418974233
- Sigstore integration time: Aug 11, 2026
Source repository:
- Permalink: eriktoller/andfn@0f4a90a6c4b0154c2f2cedce8d771eef156be066
- Branch / Tag: refs/heads/main
- Owner: https://github.com/eriktoller
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: publish_and_release.yml@0f4a90a6c4b0154c2f2cedce8d771eef156be066
- Trigger Event: push