BrightEyes-FLISM
Installation
Install brighteyes-flism from PyPI:
pip install brighteyes-flism
You can also install the latest development version directly from GitHub:
pip install git+https://github.com/VicidominiLab/BrightEyes-Flism
In case of local development:
git clone https://github.com/VicidominiLab/BrightEyes-Flism.git
cd BrightEyes-Flism
pip install -e .
brighteyes_flism re-exports the fitting and calibration helpers from
brighteyes_mcs_dataprep, including the optional model_fn, p0, bounds, and
parameter_names arguments for custom multi-parameter fit models. This includes
perform_fit_data, fit_data_with_ref_or_irf, calibrate_h5_file, and
generate_fit_maps.
The HDF5 helpers understand the BrightEyes MCS 0.0.6 layout, including
/raw/spad, /raw/aux, /calibration/results/<product>/..., and grouped
virtual channels under /output/virtual_channels/<kind>/channel_<index>.
Use load_raw(...) for current raw payloads and load_virtual_channel(...)
for grouped virtual channels. They keep reader support for older raw
acquisition files with root-level data and data_channels_extra datasets.
For plotting calibrated files, use load_calibration_summary(...) and
load_calibration_fit_traces(...) instead of hard-coding calibration paths.
Metadata
Release files for brighteyes-flism 0.14.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| brighteyes_flism-0.14.0.tar.gz | 39.2 kB | With provenance | Details for brighteyes_flism-0.14.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| brighteyes_flism-0.14.0-py3-none-any.whl | Python 3 | none | any | Details for brighteyes_flism-0.14.0-py3-none-any.whl |
Total release size: 78.5 kB
Release files / brighteyes_flism-0.14.0.tar.gz
| Download URL | brighteyes_flism-0.14.0.tar.gz |
|---|---|
| Size | 39.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / brighteyes_flism-0.14.0-py3-none-any.whl
| Download URL | brighteyes_flism-0.14.0-py3-none-any.whl |
|---|---|
| Size | 39.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
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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 Jul 9, 2026.
Transparency logSecurity for brighteyes-flism 0.14.0
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.
Full provenance
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Attestation for brighteyes_flism-0.14.0.tar.gz
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 Jul 9, 2026.
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