TopoStats
| Installation | Tutorials and Examples | Contributing | Licence | Citation |
An AFM image analysis program to batch process data and obtain statistics from images.
There is more complete documentation on the projects documentation website.
Installation
TopoStats is available via PyPI and can be installed in your Virtual Environment with...
pip install topostats
For more on installation and how to upgrade please see the installation instructions.
NB The minimum supported version of Python is >=3.10 and because of a constraint in a dependency the maximum supported version is <= 3.11 (for now, we hope to support newer versions in the near future).
How to Use
Tutorials and Examples
For a full description of usage please refer to the usage documentation.
A default configuration is loaded automatically that works with .spm files. The simplest method of processing images
is to run topostats process in the same directory as your scans after having activated the virtual environment in
which you have installed TopoStats
topostats process
If you have files other than .spm please refer topostats --help and the documentation on how to process those images
with TopoStats.
NB If your configuration specifies .spm (the default) files with the old-style Bruker extension (i.e. .001,
.002 etc.) will also be processed.
If you have your own YAML configuration file (see Usage : Configuring
TopoStats) then invoke topostats
and use the argument for --config <config_file>.yaml that points to your file with an associated module of
TopoStats e.g. process.
# Edit and save my_config.yaml then run TopoStats with this configuration file
topostats --config my_config.yaml process
The configuration file is validated before analysis begins and if there are problems you will see errors messages that are hopefully useful in resolving the error(s) in your modified configuration.
You can generate a sample configuration file using the topostats create-config argument which writes the default
configuration to the file ./config.yaml (i.e. in the current directory). This will not run any analyses.
Notebooks
Example Jupyter Notebooks have been developed that show how to use TopoStats package interactively which is useful when you are unsure of what parameters are most suited to your scans. Other notebooks exist which show how to produce plots of the summary grain and tracing statistics or how to generate plots of scans from processed images which saves having to run the processing again. See the documentation on Notebooks for further details.
Contributing
Please refer to our contributing guidelines documentation.
Licence
This software is licensed as specified by the GPL License and LGPL License.
Citation
If you use TopoStats in your work or research please cite us. There is a Citation File Format in this repository to aid citation.
Publications
Metadata
Release files for topostats 2.4.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| topostats-2.4.2.tar.gz | 237.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| topostats-2.4.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 481.4 kB
Release files / topostats-2.4.2.tar.gz
| Download URL | topostats-2.4.2.tar.gz |
|---|---|
| Size | 237.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6b5f5920fd00c64854604eb4f015460fd753002007df5fb05cfc30adbec57b73
|
|
BLAKE2b-256 checksum How to use checksums |
7a8e0fb47e40c09247ebd869640852994dc132e1749e9e37993d7b7e4fe5b040
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Aug 18, 2026.
Transparency logRelease files / topostats-2.4.2-py3-none-any.whl
| Download URL | topostats-2.4.2-py3-none-any.whl |
|---|---|
| Size | 243.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
813840fad6ef740b78e46a92c50cd16f86d308fe7307c24d70b10907918ab03c
|
|
BLAKE2b-256 checksum How to use checksums |
3d07887b1a881a7168f2d46b1c8d9400c080343170dec81568dbec6c264f97dd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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 Aug 18, 2026.
Transparency log