decodanda

Decodanda (dog latin for “to be decoded”) is a best-practices-made-easy Python package for decoding neural data. Decodanda is designed to expose a user-friendly and flexible interface for population activity decoding, with a series of built-in best practices to avoid the most common pitfalls. In addition, Decodanda exposes a series of functions to compute the Cross-Condition Generalization Performance (CCGP, Bernardi et al. 2020) and Cross-Variable Interference (O’Neill et al 2025) for the geometrical analysis of neural population activity.

Metadata

Release files for decodanda 0.8.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for decodanda 0.8.6
File	Size	Uploaded
decodanda-0.8.6.tar.gz	64.5 kB	Apr 27, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for decodanda 0.8.6
File	Interpreter	ABI	Platform	Reset
decodanda-0.8.6-py3-none-any.whl 59.8 kB Apr 27, 2026	Python 3	none	any	Details

Total release size: 124.3 kB

Release files / decodanda-0.8.6.tar.gz

Download URL	decodanda-0.8.6.tar.gz
Size	64.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`d09ce137bb831a7e664d58d11deeee8c83c4c4ee2a372b5ea524f68afd4412a1`
BLAKE2b-256 checksum How to use checksums	`1debe01f0b6cd8ce616110d6002c0a22fd490fdc3981a06c6a2270db2c016286`
Upload date	Apr 27, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.6`

Release files / decodanda-0.8.6-py3-none-any.whl

Download URL	decodanda-0.8.6-py3-none-any.whl
Size	59.8 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`40066e853fee7b5a0a823fa5b57d6f1062c1fbeaba358a8032f2aae285422d0d`
BLAKE2b-256 checksum How to use checksums	`acb50dd813ec8d45db6410b0f6df05dec7ca052da82d9bbf5caeb08309af3289`
Upload date	Apr 27, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.9.6`