ft8lib
FT8, FT4 and WSPR amateur-radio digital modes in Python.
ft8lib is a Python port of the FT8/FT4 protocol implementation from
WSJT-X: message packing (77-bit),
CRC-14, LDPC(174,91) forward error correction, GFSK waveform synthesis, and a
full receive chain (candidate sync search, downconversion, fine time/frequency
sync, noncoherent multi-symbol soft demodulation, belief-propagation decoding).
It also includes a WSPR encoder and a port of the wsprd decoder (sync,
noncoherent demodulation, Fano sequential decoding, signal subtraction).
Installation
pip install .
The only runtime dependency is numpy. The decode hot paths (LDPC belief propagation, ordered-statistics decoding, fine sync) are compiled from a small C extension at install time; if the extension is unavailable the library transparently falls back to slower pure-numpy implementations of the same algorithms.
Usage
Python API
import numpy as np
import ft8lib
# --- Encode a message to an audio waveform (float64, 12000 S/s) ---
wave = ft8lib.encode_ft8("CQ K1ABC FN42", f0=1500.0) # 12.64 s
wave4 = ft8lib.encode_ft4("W9XYZ K1ABC RR73", f0=1500.0) # 5.04 s
# Transmission conventionally starts 0.5 s into the 15 s (FT8) or
# 7.5 s (FT4) cycle:
period = np.zeros(ft8lib.FT8.NMAX)
period[6000:6000 + len(wave)] = wave
# --- Decode a receive period (12000 S/s audio, any amplitude scale) ---
for result in ft8lib.decode_ft8(period):
print(result)
# FT8 -15 dB DT +0.00 s 1500.0 Hz CQ K1ABC FN42
for result in ft8lib.decode_ft4(audio_7p5s):
print(result)
# --- WSPR: 2-minute periods, 110.6 s transmissions near 1500 Hz ---
wave = ft8lib.encode_wspr("K1ABC FN42 37")
for result in ft8lib.decode_wspr(audio_2min):
print(result)
Each decode is a ft8lib.Decode with fields message, snr (dB in 2500 Hz),
dt (seconds relative to the nominal 0.5 s start), freq (Hz), sync, and
mode.
Realtime decoding
To decode live audio, feed a RealtimeDecoder blocks of samples as they
arrive (starting at a cycle boundary). Like WSJT-X, it runs decode attempts
part-way through the receive period (FT8: 11.8, 13.5 and 14.7 s; FT4: 5.6
and 6.05 s), so most messages are reported seconds before the period ends,
and it rolls over automatically at each cycle boundary:
rt = ft8lib.RealtimeDecoder("FT8", mycall="K1ABC")
for block in audio_blocks: # e.g. sound-card capture callback
for result in rt.feed(block): # new decodes, as soon as they appear
print(rt.cycle, result)
rt.flush() # decode a partial final period
ft8lib.decode_realtime(blocks, mode="FT8") wraps this as a generator over
an iterable of blocks. For a single already-captured period there are also
decode_ft8_stream / decode_ft4_stream, generator versions of the batch
decoders that yield each message as soon as it decodes instead of returning
the full list at the end.
Lower-level building blocks are exposed too:
bits = ft8lib.pack77("CQ K1ABC FN42") # 77-bit numpy array
msg, ok = ft8lib.unpack77(bits) # back to text
tones = ft8lib.ft8_tones_from_bits(bits) # 79 channel symbols (0-7)
codeword = ft8lib.encode174_91(bits) # 174-bit LDPC codeword
Hashed nonstandard callsigns (<PJ4/K1ABC>) resolve through a
ft8lib.HashTable, which you can keep across decode cycles and prime with
table.set_station(mycall, dxcall) — the same behavior as WSJT-X.
Command line
# Encode to a WAV file (12 kHz, 16-bit mono)
ft8lib encode "CQ K1ABC FN42" cq.wav --mode ft8 --freq 1500 --full-period
# Decode a recording (any sample rate; resampled to 12 kHz)
ft8lib decode 210701_133000.wav --mode ft8
Message types supported
Standard messages (types 1/2 incl. /R and /P), free text (0.0),
DXpedition mode (0.1), ARRL Field Day (0.3/0.4), telemetry (0.5), WSPR-style
(0.6), ARRL RTTY roundup (3), nonstandard/hashed calls (4), and EU VHF
contest (5).
Performance
Decode thresholds measured with additive white Gaussian noise (10 trials per point, single signal):
| Mode | ~100% decode down to | WSJT-X (with OSD+AP) |
|---|---|---|
| FT8 | −19 dB | −21 dB |
| FT4 | −16 dB | −17.5 dB |
The port implements the full WSJT-X machinery — all five metric passes, ordered-statistics decoding (OSD), a-priori (AP) decoding and multi-pass signal subtraction; the remaining 1–2 dB is algorithm tuning headroom. A full 15 s FT8 period with a busy band decodes in well under a second on a typical desktop.
Documentation
A comprehensive usage guide for the whole public API — encoding, decoding,
realtime operation, WSPR, hash tables and the CLI — lives in
docs/usage.md.
Development
Detailed docs on the encode and decode pipelines, with Fortran-source
correspondence tables, live in docs/encode.md and
docs/decode.md.
The LDPC tables in src/ft8lib/_tables.py are generated from the WSJT-X
Fortran sources by tools/gen_tables.py (expects the wsjtx source tree in
the repository root).
Run the tests with:
pip install -e .[test]
pytest
License
GPL-3.0-or-later. This library is a derivative work of WSJT-X,
Copyright (C) 2001-2024 by Joe Taylor, K1JT, and the WSJT-X Development Team,
licensed under the GNU GPL v3. See LICENSE.
1 maintainer
Metadata
1 maintainer
Release files for ft8lib 1.3.2
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