peakutils

library1.3.5pypypi✓ verified 83d ago

Peak detection and analysis utilities for 1D data. Provides functions to find peaks, estimate parameters, and filter peaks. Current version 1.3.5; no recent releases, appears to be in maintenance mode.

data ai-ml

pip install peakutils

package ↗homepage ↗

INSTALL

IMPORT

SIG · PEAKUTILS

peakutils

datapythonv1.3.5

Install

7.2s avg

Import

1423ms

Disk

230MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.3.5 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 1.432s · 230.7MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 7.2s · import 1.414s · 222MB

230MB installed

● package 230MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

import peakutils

✓ import peakutils

✗ from peakutils import *

Avoid star import to keep namespace clean; use specific functions like peakutils.peak.indexes()

Basic peak detection in 1D data using threshold and minimum distance.

import numpy as np import peakutils # Generate sample data data = np.random.randn(100).cumsum() # Peak detection indices = peakutils.indexes(data, thres=0.5, min_dist=10) print('Peak indices:', indices)

Debug

Known issues

gotchaThe default interpolation method for peak coordinates is deprecated. Use centroid or parabolic methods explicitly.

fix

peakutils.peak.interpolate(x, y, ind=None, width=5, method='centroid')

affects: >=1.3

gotchaThe 'thres' parameter is a relative threshold, not absolute. It multiplies the range of the data (max - min).

fix

Set thres=0.5 to require peaks to be at least 50% of the data range above baseline.

affects: all

breakingRemoved 'peakutils.envelope' function in version 1.3 (previously available).

fix

Use scipy.signal.hilbert or custom code; no direct replacement in peakutils.

affects: >=1.3

Errors

Common errors & fixes

ImportError: No module named 'peakutils'

Package not installed or Python environment mismatch.

fix

Run 'pip install peakutils' and ensure you're using the correct Python interpreter.

AttributeError: module 'peakutils' has no attribute 'indexes'

Importing the wrong module or outdated version.

fix

Install/upgrade peakutils: 'pip install --upgrade peakutils'. Then use 'peakutils.indexes()'.

peakutils.peak.indexes() got an unexpected keyword argument 'thres'

Mistakenly using 'peakutils.peak.indexes' instead of 'peakutils.indexes'.

fix

Use 'peakutils.indexes(y, thres=0.5)' directly, not via peak submodule.

Upgrade

Version history

1.3.5latest on PyPI · released Jun 27, 2024

Audit

Dependencies

numpyrequiredCore dependency for array operations

scipyoptionalRequired for interpolation (peakutils.interpolate)

Agent activity

7 hits · last 30 days

node

Amazon

Resources

packagehttps://pypi.org/project/peakutils/ ↗

homepagehttps://bitbucket.org/lucashnegri/peakutils ↗