Skip to main content

TachyWooting

License: BSD-3-Clause Python versions Tests

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

  • documentation.md: technical details and architecture notes

  • development.md: maintainer workflow and SDK update process

  • PLUGIN_MANAGEMENT.md: plugin installation and troubleshooting

  • raw_sdk.md: direct lib/ffi SDK reference for advanced use

  • Analog Key Acquisition: Read key positions (0.0–1.0) with microsecond-level timing

  • Threshold-Based Triggering: Automatically capture key press trajectories around actuation threshold

  • HDF5 Logging: Hierarchical per-trial logging with automatic shard merging

  • Multi-Key Support: Efficiently read multiple keys simultaneously using full-buffer API

  • Cross-Platform: Linux, macOS, and Windows support

  • Automatic Setup: Self-contained installation with system configuration

  • CLI Tools: Command-line utilities for plugin management and testing

  • Read analog key pressure as floats in the 0.0 to 1.0 range.

  • Convert analog pressure to integer values in the 0 to 255 range.

  • Acquire one or more keys around a threshold crossing.

  • Log trials to hierarchical HDF5 files.

  • Build against the bundled Wooting Analog SDK headers and native libraries.

  • 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:

  1. CFFI compilation happens automatically the first time you create a WOOTING_ACQUISITION (or run wooting-demo). It needs only a C compiler — no admin rights.

  2. 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.
  • convert_keycode_to_char: convert between HID keycodes and key labels.
  • 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.
  • lib and ffi: 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.

Wooting UwU keypad

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.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tachywooting-0.2.2.tar.gz (6.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

tachywooting-0.2.2-cp313-cp313-macosx_11_0_universal2.whl (6.5 MB view details)

Uploaded CPython 3.13macOS 11.0+ universal2 (ARM64, x86-64)

File details

Details for the file tachywooting-0.2.2.tar.gz.

File metadata

  • Download URL: tachywooting-0.2.2.tar.gz
  • Upload date:
  • Size: 6.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.1

File hashes

Hashes for tachywooting-0.2.2.tar.gz
Algorithm Hash digest
SHA256 4cf3e47793930ef565ce19cdd385f371172e42c8893075300ea2cf33f03aa6db
MD5 8aa6006a60d27e4a6860999b0d29085b
BLAKE2b-256 acec3733e835d455900cae1d274d7dbe9d66737f9bf3327c7f91a8979a41b9ad

See more details on using hashes here.

File details

Details for the file tachywooting-0.2.2-cp313-cp313-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for tachywooting-0.2.2-cp313-cp313-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 8972d7b4a6ca85b69aedaf79391254ed34a182fb413efbef700ade807db36cef
MD5 70aa8719efdc4a5d4bcb750e5a9a7c36
BLAKE2b-256 ec25c0aea057a60972d9b1553e03542fb3d3ae8bacf41c1d422d758e103239a7

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page