nocturne-client
Tiny Python client for Nocturne — the bioacoustic species classifier for insects, amphibians, and other non-bird wildlife from Stratus Labs.
Install
pip install nocturne-client
Use
from nocturne_client import Nocturne
n = Nocturne()
r = n.predict("cicada.wav", top_k=5, threshold=0.15)
for p in r.predictions:
print(f"{p.score:.3f} {p.species}")
Batch:
results = n.predict_batch(["clip1.wav", "clip2.wav", "clip3.wav"])
CLI:
nocturne-client predict clip.wav --top-k 5
nocturne-client health
nocturne-client vocab
Environment
NOCTURNE_URL— override the default endpoint (https://nocturne.runstratus.com) if you're self-hosting.
Rate limits
The public endpoint is capped at 10 requests per minute per IP. The client retries automatically on 429 with linear backoff. For batch work at scale, self-host the model (weights on HuggingFace at stratus-labs/nocturne-v1-teacher) or contact Stratus Labs.
License
Apache-2.0. Model weights are CC-BY-4.0 (see the model card).
Metadata
Release files for nocturne-client 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| nocturne_client-1.1.0.tar.gz | 4.2 kB | Without provenance | Details for nocturne_client-1.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| nocturne_client-1.1.0-py3-none-any.whl | Python 3 | none | any | Details for nocturne_client-1.1.0-py3-none-any.whl |
Total release size: 8.6 kB
Release files / nocturne_client-1.1.0.tar.gz
| Download URL | nocturne_client-1.1.0.tar.gz |
|---|---|
| Size | 4.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/7.0.0 CPython/3.14.5
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Release files / nocturne_client-1.1.0-py3-none-any.whl
| Download URL | nocturne_client-1.1.0-py3-none-any.whl |
|---|---|
| Size | 4.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.5
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