SGN-TS

SGN-TS extends the SGN streaming pipeline framework with time-series data types: precise offset-based timing, uniformly sampled buffers, frame alignment across multiple channels, and a library of signal processing elements.

Installation

pip install sgn-ts

For PyTorch-accelerated operations (resampling, array backends):

pip install sgn-ts[torch]

Quick Example

Generate a sine wave, amplify it, and collect the output:

from sgn import Pipeline
from sgnts.sources import FakeSeriesSource
from sgnts.transforms import Amplify
from sgnts.sinks import TSFrameCollectSink

src = FakeSeriesSource(
    name="src",
    source_pad_names=["out"],
    signal_type="sin",
    rate=2048,
    duration=2,
)
amp = Amplify(name="amp", factor=3.0)
snk = TSFrameCollectSink(name="snk")

Pipeline().connect(src, amp).connect(amp, snk).run()

for frame in snk.data["out"]:
    print(frame.offset, len(frame.buffers))

Documentation

Full documentation is available at docs.ligo.org/greg/sgn-ts.

Related Libraries

sgn: Base streaming pipeline framework
sgn-ligo: LIGO-specific utilities for SGN

Download files

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

Source Distribution

sgn_ts-0.14.1.tar.gz (328.8 kB view details)

Uploaded Aug 18, 2026 Source

Built Distribution

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

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

sgn_ts-0.14.1-py3-none-any.whl (151.8 kB view details)

Uploaded Aug 18, 2026 Python 3

File details

Details for the file sgn_ts-0.14.1.tar.gz.

File metadata

Download URL: sgn_ts-0.14.1.tar.gz
Upload date: Aug 18, 2026
Size: 328.8 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: Hatch/1.16.5 cpython/3.13.12 HTTPX/0.28.1

File hashes

Hashes for sgn_ts-0.14.1.tar.gz
Algorithm	Hash digest
SHA256	`a1123ce5473eeb69a886ed4fc9996751970cd04526a5373f34ba15d1faa17eea`
MD5	`5a5044568b14745fc938db451611bdc7`
BLAKE2b-256	`1d7da147cc0b22e43612fd062274317823696c6a4f4abba276e25303a38aaf6c`

See more details on using hashes here.

File details

Details for the file sgn_ts-0.14.1-py3-none-any.whl.

File metadata

Download URL: sgn_ts-0.14.1-py3-none-any.whl
Upload date: Aug 18, 2026
Size: 151.8 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: Hatch/1.16.5 cpython/3.13.12 HTTPX/0.28.1

File hashes

Hashes for sgn_ts-0.14.1-py3-none-any.whl
Algorithm	Hash digest
SHA256	`728d064b5b7cf4c3619bebea466bbaa61659c94f0e8a462ac6981e5a311b08c9`
MD5	`29ddb14490546d92deaa2f5347532b26`
BLAKE2b-256	`6f938c8ed165c02286a167319bee493244c214cf17504f14dc3cc21a619a928b`