| Name | pyPrairieView JSON |
| Version |
0.0.2
JSON |
| download |
| home_page | |
| Summary | Darik & Doug Do A Thing |
| upload_time | 2023-03-27 20:02:49 |
| maintainer | Douglas Miller, Darik A. O'Neil |
| docs_url | None |
| author | Douglas Miller, Darik A. O'Neil |
| requires_python | <4,>=3.7 |
| license | MIT License Copyright (c) 2023 Douglas Miller Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
bruker
prairieview
microscopy
two-photon
one-photon
confocal
electrophysiology
ephys
neuroscience
psychology
biology
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
## pyPrairieView
<!-- Line 1 Badges... PyPi, Downloads, Maintained, Coverage, Documentation -->
<!-- Line 2 Badges... Python Versions, PyPi Status, License, Contributors-->
[](https://pyprairieview.readthedocs.io/en/latest/?badge=latest)
[](https://github.com/saglag/pyPrairieView/graphs/contributors)
[](https://github.com/saglag/pyPrairieView/actions/workflows/pyprairieview_lint_test.yml)
A Python libary for interacting with PrarieView software.
#### Highlights (Aspirational)
- Electrophysiology protocol design
- Electrophysiology analysis (initially dependent on protocol design)
- Metadata handling of XML files
- Imaging file compilation
- Data stream generation
- Online motion correction
- ROI-Mark Points translation
More to come in the future!
#### Installation
`pip install pyPrairieView`
#### Documentation
Hosted at [ReadtheDocs](https://pyprairieview.readthedocs.io/en/latest/index.html#).
Available locally as [HTML](https://github.com/saglag/pyPrairieView/tree/master/docs/build/html), [LATEX](https://github.com/saglag/pyPrairieView/tree/master/docs/build/latex) and [PDF](https://github.com/saglag/pyPrairieView/blob/master/docs/build/pdf/pyprairieview.pdf).
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