noctiluca
A python framework for trajectory analysis in single particle tracking (SPT) experiments. For an Introduction, some worked examples, and the full API reference head over to our documentation at ReadTheDocs.
To install noctiluca you can use the latest stable version from PyPI
$ pip install --upgrade noctiluca
or the very latest updates right from GitHub:
$ pip install git+https://github.com/OpenTrajectoryAnalysis/noctiluca
Developers
Note the Makefile, which can be used to build the documentation (using
Sphinx); run unit tests and check code coverage; and build an updated package
for release with GNU make.
When editing the example notebooks, remember to remove output and empty cells before committing to the git repo. nbstripout allows to do this automatically upon commit.
1 maintainer
Metadata
1 maintainer
Release files for noctiluca 0.1.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| noctiluca-0.1.4.tar.gz | 218.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| noctiluca-0.1.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 257.9 kB
Release files / noctiluca-0.1.4.tar.gz
| Download URL | noctiluca-0.1.4.tar.gz |
|---|---|
| Size | 218.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.9.9
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Release files / noctiluca-0.1.4-py3-none-any.whl
| Download URL | noctiluca-0.1.4-py3-none-any.whl |
|---|---|
| Size | 39.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.9
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