Python interface for Wooting analog keyboards
Project description
TachyWooting
Python bindings and acquisition utilities for Wooting analog keyboards.
For deeper implementation details, see documentation.md. Read the Docs/Sphinx sources live in docs/ and use NumPy-style docstrings. Console scripts are documented in docs/scripts.md.
Project Documentation
-
README.md: project overview and quick start
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documentation.md: technical details and architecture notes
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development.md: maintainer workflow and SDK update process
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PLUGIN_MANAGEMENT.md: plugin installation and troubleshooting
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raw_sdk.md: direct
lib/ffiSDK reference for advanced use -
Analog Key Acquisition: Read key positions (0.0–1.0) with microsecond-level timing
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Threshold-Based Triggering: Automatically capture key press trajectories around actuation threshold
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HDF5 Logging: Hierarchical per-trial logging with automatic shard merging
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Multi-Key Support: Efficiently read multiple keys simultaneously using full-buffer API
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Cross-Platform: Linux, macOS, and Windows support
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Automatic Setup: Self-contained installation with system configuration
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CLI Tools: Command-line utilities for plugin management and testing
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Read analog key pressure as floats in the
0.0to1.0range. -
Convert analog pressure to integer values in the
0to255range. -
Acquire one or more keys around a threshold crossing.
-
Log trials to hierarchical HDF5 files.
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Build against the bundled Wooting Analog SDK headers and native libraries.
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Inspect HDF5 logs with a small visualization CLI.
Requirements
- Python 3.10 or newer.
- A supported Wooting analog keyboard.
- A local compiler toolchain for the CFFI interface build.
- Platform-specific permissions for USB/native library access.
Quick Start
pip install .
What setup is needed
pip install does not run system setup — pip installs from wheels, which have
no reliable post-install hook. Setup is split into two parts:
-
CFFI compilation happens automatically the first time you create a
WOOTING_ACQUISITION(or runwooting-demo). It needs only a C compiler — no admin rights. -
SDK plugins + input permissions require a one-time privileged step:
wooting-build-interface # installs SDK plugins + permissions (needs sudo/admin)
If the keyboard is not detected, the error message tells you exactly to run this
command — you do not have to remember it. To undo it later: wooting-delete-interface.
Development Installation
python -m pip install -e ".[dev]"
wooting-build-interface
Quick Start
from tachywooting import WOOTING_ACQUISITION
acq = WOOTING_ACQUISITION(threshold=0.8)
acq.initialize_keyboard(verbose=True)
try:
acq.setup_logging(name="tracking", path="logs", int_analog=2)
trial = acq.acquire_analog_values(target_keys=["A"])
finally:
acq.uninitialize_keyboard()
CLI Demo
wooting-demo --key A --threshold 50
Visual feedback (TachyPy)
On-screen pressure feedback — the interactive fixation cross and
wait_light_press_visual() — lives in TachyPy, not in this hardware package.
Install it with pip install 'tachypy[wooting]', then:
from tachypy import WOOTING_ACQUISITION # keyboard + visual feedback
HDF5 Logging
setup_logging() writes one temporary shard per trial and merges shards when uninitialize_keyboard() is called.
Final files use this layout:
/trials/0001/keys/0004/values
Each values dataset stores columns in this order:
position, time_from_onset, time_abs
Visualize Logs
python -m tachywooting.visualize logs/tracking.hdf5 --list
python -m tachywooting.visualize logs/tracking.hdf5 --trial 1 --key 4
Public API
WOOTING_ACQUISITION: acquisition, threshold detection, readiness checks, and logging.convert_char_to_keycode: convert between key labels and HID keycodes.load_trial: load a single trial from an HDF5 log file.load_session: load all trials from an HDF5 log file.trial_to_dataframe: convert a trial dict to a pandas DataFrame.build_interface: rebuild the CFFI interface.delete_interface: remove generated CFFI artifacts.libandffi: raw CFFI handles for advanced SDK access.
Troubleshooting
If importing works but acquisition fails with a missing native interface error, run:
wooting-build-interface
If no devices are detected, confirm the keyboard is connected, Wootility recognizes it, and platform permissions have been applied.
Hardware Requirements
This package was developed and tested with the Wooting UwU keypad (wooting.io/uwu), and its use is strongly recommended for optimal results.
The UwU is a 3-key Hall effect keypad using Lekker L45 V2 linear switches — contactless magnetic sensors with a smooth linear force curve (30–45 cN, no tactile bump). Keys can be configured to actuate at any depth from 0.1mm to 4.0mm.
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