Skip to main content
Morphomatics

Morphomatics: Geometric morphometrics in non-Euclidean shape spaces

Morphomatics is an open-source Python library for (statistical) shape analysis developed within the geometric data analysis and processing research group at Zuse Institute Berlin. It contains prototype implementations of intrinsic manifold-based methods that are highly consistent and avoid the influence of unwanted effects such as bias due to arbitrary choices of coordinates.

Detailed information and tutorials can be found at https://morphomatics.github.io/

Installation

Morphomatics can be installed directly from github using the following command:

pip install git+https://github.com/morphomatics/morphomatics.git#egg=morphomatics

For instructions on how to set up jaxlib, please refer to the JAX install guide.

Dependencies

  • jax/jaxlib
  • jraph
  • flax
  • optax

Optional

  • pymanopt
  • sksparse

Metadata

Release files for morphomatics 4.2

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

Source distribution (sdist)

Source distribution for morphomatics 4.2
File Size Uploaded
morphomatics-4.2.tar.gz 88.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for morphomatics 4.2
File Interpreter ABI Platform
morphomatics-4.2-py3-none-any.whl Python 3 none any Details

Total release size: 220.9 kB

Release files / morphomatics-4.2.tar.gz

Download URL morphomatics-4.2.tar.gz
Size 88.3 kB
Tags Source
SHA-256 checksum
How to use checksums
5ab27f15ea988d2003d601e3f3b14c98c09952ae7b48da6d3c5d4710b165f1ca
BLAKE2b-256 checksum
How to use checksums
f76f67162a9e6e23c3fb92515593ff29ea9ec105cc7b9b9c691e866a93102fa1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

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 Jun 17, 2026.

Transparency log

Release files / morphomatics-4.2-py3-none-any.whl

Download URL morphomatics-4.2-py3-none-any.whl
Size 132.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d6405e08e4dcd54c0bfc74dec5e8fe21bff3b66420c480ac8869be1f37b635b3
BLAKE2b-256 checksum
How to use checksums
92137a6078dd7a4cb72c1479398a25612261c98a779c6794899c477a43fda9bd
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

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 Jun 17, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

4.2 This release

2 release files

4.1.2

2 release files

4.1.1

2 release files

4.0

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