v2.0.0-alpha8

This alpha release should fully support python version 3.10-3.13.

v2.0.0-alpha6

This alpha release should be fully pip installable in the sense that the main GuPPy pipeline should run without needing to clone the Github repo whatsoever.

v2.0.0-alpha4

This pre-release tests the automated GitHub workflow that publishes this package to TestPyPI upon each GitHub release.

GuPPy-v1.3.0

• Added support for NPM TTL files with multiple format versions
• Added support for multiple NPM files and CSV TTL files simultaneously
• Added binning by trials feature for data organization
• Extended peak AUC analysis with additional window options
• Enhanced cross-correlation module with artifact removal options
• Optional filtering - can disable signal filtering when needed
• Improved storenames GUI for better user experience
• Automatic saving of input parameters for group analysis
• Enhanced visualization GUI with improved Y-axis limits
• Fixed Windows and macOS compatibility issues
• Improved Doric file format support
• Added directory checking for output folders
• Fixed various bugs in group analysis and PSTH computation
• Resolved port number errors and improved error handling

GuPPy-v1.2.0

• Support for Doric system file (.csv and .doric)
• storenames GUI changed, designed it in a way which is less error prone
• Saving of input parameters is not required for doing the analysis
• Visualization GUI changed
• user-defined for number of cores used
• added cross-correalation computation
• two user-defined parameters for transients detection
• artifacts removal can be done with two different methods
• compute negative peaks along with positive peaks in a user-defined window

GuPPy-v1.1.4

• Support for Neurophotometrics data
• Option for binning of PSTH trials
• Option to carry out analysis without using isosbestic control channel
• Plot to see control fitted channel to signal channel
• Selection and deletion of chunks with specific keys in artifacts removal
• Option to change moving average filter window
• Option to compute variations of z-score based on different computation method.
• Faster computation speed for PSTH computation step

GuPPy-v1.1.3

• Minor bug fixes
• No need of Jupyter Notebook to run GuPPy
• Storenames GUI now suggest names for storenames based on user’s past input
• 'csv' file can be used as inputs for isosbestic control channel, signal channel and TTLs too

GuPPy-v1.1.2

• Minor Bug Fixes
• multiple windows for peak and AUC computation
• bug fix for searching a file name irrespective of lower-case of upper-case

GuPPy-v1.1.1

It is the GuPPy's first release for people to use and give us feedbacks on it