10 best Python Data Labelling libraries in 2025
by naveen.kumar@openweaver.com Updated: Mar 9, 2023
Guide Kit
The data labelling industry is maturing quickly. This has led to an explosion of new tools, data labelling libraries and platforms for training machine learning models over the past few years. Python is the most popular programming language for Data Science. It is very easy to learn and there are many applications of it in the field of Data Science. Python has many libraries for Machine Learning and Data Science. Popular open source Python libraries include: Pandas - pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Label-studio - Label Studio is a multitype data labeling and annotation tool. In this kit, you can find 10 best Python Data Labelling libraries, that can be used to train your machine learning algorithms.
pandasby pandas-dev
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python
38689
Version:v2.0.2
License: Permissive (BSD-3-Clause)
label-studioby heartexlabs
Label Studio is a multi-type data labeling and annotation tool with standardized output format
label-studioby heartexlabs
Python
13344
Version:1.8.0
License: Permissive (Apache-2.0)
cleanlabby cleanlab
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
cleanlabby cleanlab
Python
6078
Version:v2.4.0
License: Strong Copyleft (AGPL-3.0)
cleanlabby cgnorthcutt
The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and models.
cleanlabby cgnorthcutt
Python
2008
Version:v1.0
License: Strong Copyleft (AGPL-3.0)
slothby cvhciKIT
Sloth is a tool for labeling image and video data for computer vision research.
slothby cvhciKIT
Python
588
Version:Current
License: Others (Non-SPDX)
semisup-learnby tmadl
Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
semisup-learnby tmadl
Python
467
Version:Current
License: Permissive (MIT)
label-makerby developmentseed
Data Preparation for Satellite Machine Learning
label-makerby developmentseed
Python
415
Version:0.9.1
License: Permissive (MIT)
LabelFusionby RobotLocomotion
LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes
LabelFusionby RobotLocomotion
Python
343
Version:Current
License: Others (Non-SPDX)
OpenLabelingby ristofer
Open Source labeling tool to generate the training data in the format YOLO requires.
OpenLabelingby ristofer
Python
0
Version:Current
License: Others (Non-SPDX)