melizalab-tools
A collection of python code and scripts used by the Meliza Lab.
To install: pipx install melizalab-tools
modules
dlab.pprox: functions for working with pprox objects, a data format for storing multi-trial point process data (e.g. spike times evoked by stimulus presentation).
dlab.neurobank: some convenient wrappers for interacting with a neurobank repository and archives.
dlab.signal: signal processing functions
console scripts
group-kilo-spikes: sort spike times output from kilosort and phy2 into pprox files (stimtrial format), optionally recording pulses on auxiliary channels such as optogenetic stimulation (--aux).
- get-songs: extract segments from arf files, rescale, resample, save into
wave files, and optionally deposit back into neurobank. Usually the first step in generating a stimulus set, keeps a nice provenance trail.
other stuff
1 maintainer
Metadata
1 maintainer
Release files for melizalab-tools 2026.10.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| melizalab_tools-2026.10.7.tar.gz | 3.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| melizalab_tools-2026.10.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.1 MB
Release files / melizalab_tools-2026.10.7.tar.gz
| Download URL | melizalab_tools-2026.10.7.tar.gz |
|---|---|
| Size | 3.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
dd51e3edc07690ceb5c4109ff55c12fb893f54eb136441c694de8561a80cd7a5
|
|
BLAKE2b-256 checksum How to use checksums |
b0b755133f5a03bd3b661b0e966161eabbb5a99d3a82ffb3a7126a12b899e162
|
| 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 Oct 7, 2026.
Transparency logRelease files / melizalab_tools-2026.10.7-py3-none-any.whl
| Download URL | melizalab_tools-2026.10.7-py3-none-any.whl |
|---|---|
| Size | 32.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
5e134c974605504421c9161387726e2d56181e0473f01319b844981ed3a91865
|
|
BLAKE2b-256 checksum How to use checksums |
4876e3ed97fd4bffcda24018ef8f8beb7f292d08978c626b0888f4d00acc6e4e
|
| 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 Oct 7, 2026.
Transparency log
