Quail
The facts below are what the maker publishes about Quail, checked and dated. Our editors have not written about it yet.
The facts
Each one read from Quail's own pages, with the date it was checked.
What it does
- Analyses
- Quail includes functions for accuracy, serial position curves, probability of first recall, lag-CRP, and memory fingerprints.checked 11 Oct 2026
- Assessment tools
- Nochecked 23 Sep 2026
- Authoring tools
- Yeschecked 23 Sep 2026
- Data model
- Its Egg data structure encodes presented and recalled items, with optional components.checked 11 Oct 2026
- Delivery mode
- desktopchecked 23 Sep 2026
- Example data
- Quail includes two classic free recall datasets for demonstration and testing.checked 11 Oct 2026
- Examples
- Quail includes two classic free recall datasets for demonstration and testing.checked 11 Oct 2026
- Installation
- The recommended installation command is `pip install quail`; speech decoding dependencies can be added with `pip install quail[speech-decoding]`.checked 11 Oct 2026
- Intended users
- The toolbox is intended for memory researchers analyzing and visualizing free recall psychology experiments.checked 11 Oct 2026
- Lesson library
- Nochecked 23 Sep 2026
- License
- The repository links an MIT license.checked 11 Oct 2026
- Maintainer
- The documentation copyright names the Contextual Dynamics Laboratory.checked 11 Oct 2026
- Offline access
- Yeschecked 23 Sep 2026
- Purpose
- Quail is a Python library for analyzing and visualizing free recall data.checked 11 Oct 2026
- Requirements
- The listed requirements include Python 3.6 or later, pandas, seaborn, matplotlib, scipy, numpy, and joblib.checked 11 Oct 2026
- Speech decoding
- Quail supports automated transcription of audio files; its GitHub page describes parsing speech data with OpenAI Whisper.checked 11 Oct 2026
- Speech dependencies
- The speech-decoding installation instructions say ffmpeg must be installed manually because it is not pip-installable.checked 11 Oct 2026
- Speech setup
- The documentation includes instructions for setting up the Google Speech API for speech decoding.checked 11 Oct 2026
- Speech transcription
- The documentation describes automated speech decoding for audio responses, including near real-time transcription.checked 11 Oct 2026
- Support
- The repository directs users with questions or concerns to Stack Overflow or [email protected].checked 11 Oct 2026
- Transcription integration
- The speech decoding tutorial says Quail uses the Google Speech API and ffmpeg to transcribe audio responses.checked 11 Oct 2026
- Visualization
- The library is built on matplotlib and seaborn and provides an API for customizing plot styles.checked 11 Oct 2026
Money
- Free plan
- Yeschecked 23 Sep 2026
- Speech API cost
- The speech tutorial states Google Speech API use includes up to 60 minutes per month free, then costs $0.006 per 15 seconds.checked 11 Oct 2026
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