python-aaronia

Python bindings for sdr-aaronia-rs. Stream IQ samples from Aaronia SPECTRAN V6 devices, through an RTSA-Suite PRO HTTP server block or the native SDK, or play back recorded .rtsa files, into NumPy or Apache Arrow.

  • PyPI package: python-aaronia · importable module: aaronia
  • Wheels: abi3, CPython ≥ 3.9, one wheel per OS and architecture, plus an sdist for other platforms. Building from the sdist requires a Rust toolchain.
  • License: GPL-3.0-or-later

Install

pip install python-aaronia

From a checkout, which requires Rust and maturin:

cd python-aaronia
maturin develop --release

Check your setup before writing any code:

aaronia-doctor http://localhost:54664

It reports whether the server is reachable, whether the mission has an input carrying IQ, and what rate the device is running, and names the fix for each failure.

Quickstart

import aaronia

with aaronia.open("http://localhost:54664", freq=2.44e9, bandwidth=10e6) as src:
    for block in src.blocks(65536):           # numpy complex64 arrays
        process(block)

aaronia.open() connects and starts streaming in one call. bandwidth asks for that much usable spectrum and picks a sample rate the hardware can actually run; pass rate= instead to name one exactly. Use file="capture.rtsa" in place of the URL to play back a recording.

Iterating with blocks() ends when the stream closes. To read on your own schedule, or for Apache Arrow:

src = aaronia.open(freq=2.44e9, rate=15.36e6, format="I16")
samples = src.read_samples_numpy(65536)       # numpy complex64 array
batch = src.read_samples_arrow(65536)         # pyarrow FixedSizeListArray of [re, im]
src.set_center_frequency(2.41e9)              # live retune, no teardown
print(src.cumulative_drops(), src.take_overrun(), src.last_timestamp_ns())
src.stop_streaming()

For full control, build an AaroniaConfig and pass it to AaroniaSource.start_streaming(); open() is a shorthand for the common fields.

The quickstart covers configuring the RTSA-Suite HTTP Server block, which everything above depends on.

Sample rates

The device runs a fixed ladder of rates: 61.44 MHz halved down to 120 kHz. Ask for anything else and it quietly uses the nearest rung, leaving your program computing against a rate that is not in use.

aaronia.sample_rates()                  # every rate, highest first
aaronia.sample_rate_for_bandwidth(8e6)  # 15.36e6: the lowest rate covering 8 MHz

A rate carries only 80% of itself as alias-free bandwidth, which is why 8 MHz of spectrum needs 15.36 MHz of sampling.

Configuration (AaroniaConfig)

Every field is readable and writable.

Field Meaning
http_base_url RTSA-Suite HTTP server URL; pins the HTTP backend
file_path Path to a recorded .rtsa file; pins the file backend
device_serial Device selection for the native-SDK backend
center_freq Center frequency, Hz
sample_rate IQ sample rate, Hz (the Aaronia "span")
reference_level Reference level, dBm
format HTTP wire format: "F32", "F16" or "I16". I16 is the low-bandwidth network mode
receiver_channel "Rx1" (default), "Rx2", or "Rx1And2" (native SDK, full V6)
read_timeout Seconds a blocking read waits before AaroniaTimeoutError (default 30.0)
auto_reconnect Reconnect the HTTP stream after a drop (default True)

Unknown format/receiver_channel strings raise ValueError instead of silently defaulting.

Behaviour

  • One copy per read. Samples are copied once from the Rust receive buffer into a NumPy or Arrow owned buffer, which is then safe to hold indefinitely. This is not zero-copy; one copy is the accurate count.
  • Blocking calls release the GIL. Other Python threads keep running; KeyboardInterrupt is delivered between calls. Reads block until count samples arrive or cfg.read_timeout seconds (default 30) elapse, which raises AaroniaTimeoutError.
  • Connecting retries transient failures, up to 4 attempts within a 10 second budget, so a cold *.local hostname or a server that is still starting does not fail on the first attempt.
  • Dropped streams reconnect automatically when auto_reconnect is enabled, which is the default. The reader reopens the stream, re-applies the current tuning, and flags the first read after the gap through take_overrun(). After five failed attempts the stream ends and reads raise AaroniaStreamClosed.
  • Typed exceptions. AaroniaConnectionError (unreachable endpoint), AaroniaTimeoutError, AaroniaHardwareError (device and SDK errors) and ValueError (invalid configuration), mapped from the Rust error enum with the full cause chain in the message. AaroniaStreamClosed subclasses AaroniaConnectionError and means the stream finished rather than failed; blocks() ends on it, while a timeout or transport failure still raises.
  • Dual-channel reads (receiver_channel = "Rx1And2" with read_samples_dual_numpy(count), returning two time-aligned arrays) require the native-SDK backend: Windows or Linux with the Aaronia SDK installed, and a two-input V6. This path is hardware-unverified; the development device is a single-channel V6 ECO.

Source methods

Method Purpose
start_streaming(cfg) / stop_streaming() Session lifecycle
with src: ... Stops streaming on the way out, including after an exception
blocks(count) Iterate count-sample arrays until the stream closes
read_samples_numpy(count) NumPy complex64 array
read_samples_arrow(count) PyArrow FixedSizeListArray of [re, im] float32 pairs
read_samples_dual_numpy(count) (rx1, rx2) NumPy arrays (dual-channel captures)
set_center_frequency(hz) / set_sample_rate(hz) / set_reference_level(dbm) Live retuning
cumulative_drops() Total server-reported dropped samples
take_overrun() True once per detected receive-side overrun
last_timestamp_ns() Epoch-ns timestamp of the last received block (HTTP backend; 0 otherwise)

Module functions

Function Purpose
open(url=None, *, freq, rate, bandwidth, ref_level, file, format, read_timeout) Configure, connect and start streaming in one call
sample_rates() Every sample rate the hardware can run
sample_rate_for_bandwidth(hz) Lowest rate covering that much spectrum
diagnose(url) (ok, message, fix) for each setup check; what aaronia-doctor prints

Project links

Data verified by PyPI on Aug 12, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.11.2)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for ibentley from gravatar.com ibentley

GitHub Statistics

Data verified by PyPI on Aug 12, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

GNU General Public License v3 or later (GPLv3+) (GPL-3.0-or-later)

Requires

Python >=3.9

Classifiers

Report project as malware

Download files

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

Source Distribution

python_aaronia-0.7.4.tar.gz (435.6 kB view details)

Uploaded Source

Built Distributions

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

python_aaronia-0.7.4-cp39-abi3-win_amd64.whl (3.0 MB view details)

Uploaded CPython 3.9+Windows x86-64

python_aaronia-0.7.4-cp39-abi3-manylinux_2_39_x86_64.whl (4.0 MB view details)

Uploaded CPython 3.9+manylinux: glibc 2.39+ x86-64

python_aaronia-0.7.4-cp39-abi3-macosx_11_0_arm64.whl (3.4 MB view details)

Uploaded CPython 3.9+macOS 11.0+ ARM64

File details

Details for the file python_aaronia-0.7.4.tar.gz.

File metadata

  • Download URL: python_aaronia-0.7.4.tar.gz
  • Upload date:
  • Size: 435.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for python_aaronia-0.7.4.tar.gz
Algorithm Hash digest
SHA256 31cff32e1c9ef99766d43232794ea9bd12614aacfc8a2cca0a784ea39f0edd0d
MD5 f182ad4dfa78bd0c303cc2c75a786867
BLAKE2b-256 c131bb66fd4eec3719e3ce5ada69fc31a4b192c7755a905134ea8088bd0a06f9

See more details on using hashes here.

Provenance

The following attestation bundles were made for python_aaronia-0.7.4.tar.gz:

Publisher: release.yml on isaacbentley/sdr-aaronia-rs

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file python_aaronia-0.7.4-cp39-abi3-win_amd64.whl.

File metadata

File hashes

Hashes for python_aaronia-0.7.4-cp39-abi3-win_amd64.whl
Algorithm Hash digest
SHA256 faa3063740f7ddf0dcfe4abe4f0031b8ffed3849e326d308cb413785a0aef6ec
MD5 eeece3475b406f44f007e230548e8b49
BLAKE2b-256 9f1fb35fff9644a77168f4ccff8ec36a9f518e9a69175c239e7922e09da6f1c5

See more details on using hashes here.

Provenance

The following attestation bundles were made for python_aaronia-0.7.4-cp39-abi3-win_amd64.whl:

Publisher: release.yml on isaacbentley/sdr-aaronia-rs

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file python_aaronia-0.7.4-cp39-abi3-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for python_aaronia-0.7.4-cp39-abi3-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 ea8435f2e9981e5cc04cfcf84d74930cbe2f7307940abfd3653ebbcd8a846a81
MD5 bfd1c233b5738f59543e453c5cd19f38
BLAKE2b-256 c7aee11ff0a7c1c8eeb9f9287f355e675f96c28f866c8a4d736e75a4b6bb934e

See more details on using hashes here.

Provenance

The following attestation bundles were made for python_aaronia-0.7.4-cp39-abi3-manylinux_2_39_x86_64.whl:

Publisher: release.yml on isaacbentley/sdr-aaronia-rs

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file python_aaronia-0.7.4-cp39-abi3-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for python_aaronia-0.7.4-cp39-abi3-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9fca98d00fb70a5859cdd51464a0b616b18e123251219919563f429718550853
MD5 92fd8f348017b8fa877cbfa802127f62
BLAKE2b-256 835b6ff4ecff3863d09069158f07b474b77de82e4f71fded9d779b217d23125e

See more details on using hashes here.

Provenance

The following attestation bundles were made for python_aaronia-0.7.4-cp39-abi3-macosx_11_0_arm64.whl:

Publisher: release.yml on isaacbentley/sdr-aaronia-rs

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

0.11.2

4 files

0.11.1

4 files

0.11.0

4 files

0.10.0

4 files

0.9.0

4 files

0.8.2

4 files

0.8.1

4 files

0.8.0

4 files

0.7.7

4 files

0.7.6

4 files

0.7.5

4 files

This release

0.7.4 This release

4 files

0.7.3

4 files

0.7.2

4 files

0.7.1

4 files

0.7.0

4 files

0.6.2

4 files

0.6.1

4 files

0.6.0

4 files

0.5.1

4 files

0.5.0

4 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page