Registry / ai-ml / label-studio-ml

label-studio-ml

library1.0.9pypypiunverified

Label Studio ML backend library for building, training, and deploying machine learning models with Label Studio. Version 1.0.9 supports Python >=3.6, released irregularly. Integrates with Label Studio for interactive labeling with model predictions.

ai-ml data

pip install label-studio-ml

github ↗package ↗homepage ↗

INSTALL

IMPORT

SIG · LABEL-STUDIO-ML

label-studio-ml

ai-mlpythonv1.0.9

Install

5.0s avg

Import

—

Disk

58MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v1.0.9 · 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 0.000s · 59.7MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 5.0s · import 0.000s · 61MB

58MB installed

● package 58MB

Code

Verified usage

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

LabelStudioMLBase

✓ from label_studio_ml import LabelStudioMLBase

✗ from label_studio_ml import LabelStudioMLBase

Basic skeleton for a Label Studio ML backend model.

from label_studio_ml.model import LabelStudioMLBase from label_studio_ml.utils import get_local_path class MyModel(LabelStudioMLBase): def predict(self, tasks, context, **kwargs): return [{"result": []}] def fit(self, completions, workdir=None, **kwargs): pass

label-studio-ml --version

Debug

Known issues

gotchaLabelStudioMLBase is the correct base class; avoid custom inheritance from sklearn-like classes directly. Predictions must be a list of dicts with 'result' key.

fix

Ensure predict() returns a list of dictionaries, each containing 'result' (list of annotation results).

affects: all

deprecatedThe old config system using label_config.xml is deprecated; use XML or JSON config from project settings.

fix

Use Label Studio web interface to generate config, or pass a LabelConfig string via label_config in init.

affects: <1.0.0

Upgrade

Version history

1.0.9latest on PyPI · released Jan 3, 2023

Audit

Dependencies

No dependency data recorded yet.

Agent activity

33 hits · last 30 days

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Resources

githubhttps://github.com/heartexlabs/label-studio-ml-backend ↗

packagehttps://pypi.org/project/label-studio-ml/ ↗

homepagehttps://labelstud.io ↗