benchpots

library1pypypi✓ verified 85d ago

A Python toolbox for benchmarking machine learning on partially-observed time series. Supports preprocessing of 170+ open-source datasets including UCR&UEA, PhysioNet, air quality, electricity, and traffic data. Current version is 0.5, with active development on GitHub.

ai-ml data testing

pip install benchpots

github ↗package ↗homepage ↗docs ↗

INSTALL

IMPORT

SIG · BENCHPOTS

benchpots

ai-mlpythonv1

Install

81.4s avg

Import

13577ms

Disk

5299MB

Pass rate

4/ 10

Env Coverage4 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1 · 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

glibc

py 3.10

✕ build_error

✓ 91.1s

py 3.11

✕ build_error

✓ 85.4s

py 3.12

✕ build_error

✓ 76.4s

py 3.13

✕ build_error

✓ 72.6s

py 3.9

✕ build_error

✕ timeout

5299MB installed

● package 5299MB

Code

Verified usage

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

preprocess_physionet2012

✓ from benchpots.datasets import preprocess_physionet2012

Direct import from benchpots is available; e.g. from benchpots import preprocess_physionet2012 also works.

preprocess_ucr_uea

✓ from benchpots.datasets import preprocess_ucr_uea

✗ from benchpots import preprocess_ucr_uea

preprocess_ucr_uea is in the datasets submodule; importing from top-level benchpots may fail.

Download and preprocess the PhysioNet-2012 dataset.

from benchpots.datasets import preprocess_physionet2012 import os # Download and preprocess PhysioNet-2012 dataset data = preprocess_physionet2012( data_path=os.environ.get('DATA_PATH', './data'), artifact_path=os.environ.get('ARTIFACT_PATH', './results') ) print(data.keys())

Debug

Known issues

breakingIn v0.3.2, the sliding window function had a tensor sample stacking bug that was fixed. If you used v0.3.1 or earlier, sliding window outputs may have incorrect shapes.

fix

Upgrade to v0.3.2 or later: pip install benchpots>=0.3.2

affects: <=0.3.1

deprecatedThe preprocess_physionet2012 function may change its return format in future releases. It currently returns a dictionary with keys 'X', 'y', 'M', etc., but this is not guaranteed stable.

fix

Check return structure in each version's documentation.

affects: 0.5

gotchaSome datasets require manual download or specific file paths. For example, PhysioNet data must be downloaded separately. The function will not automatically fetch missing files.

fix

Pre-download the dataset files and provide the correct data_path.

affects: all

gotchaThe 'UCR&UEA' datasets with string labels in v0.2.1 and earlier caused loading errors. This was fixed in v0.2.2, but string labels are encoded into int. Be aware of label encoding changes.

fix

Upgrade to v0.2.2+ or manually encode labels.

affects: <=0.2.1

Errors

Common errors & fixes

ModuleNotFoundError: No module named 'benchpots'

Package not installed.

fix

Run 'pip install benchpots' to install.

AttributeError: module 'benchpots' has no attribute 'preprocess_ucr_uea'

Function is in a submodule, not top-level.

fix

Use 'from benchpots.datasets import preprocess_ucr_uea' instead.

ValueError: Dataset not found at path

The required dataset files are missing from the specified data_path.

fix

Download the dataset files manually and set the correct data_path parameter.

Upgrade

Version history

1latest on PyPI · released Apr 27, 2026

Audit

Dependencies

No dependency data recorded yet.

Agent activity

19 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/WenjieDu/BenchPOTS ↗

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

homepagehttps://pypots.com ↗

docshttps://docs.pypots.com ↗