10 best Python Data Labelling libraries in 2022
by naveen.kumar@openweaver.com 
Updated: Apr 6, 2022
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
37439 Version:v2.0.0rc1Flexible 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 37439 Version:v2.0.0rc1 License: Permissive (BSD-3-Clause)
label-studioby heartexlabs
12446 Version:1.7.2Label Studio is a multi-type data labeling and annotation tool with standardized output format
label-studioby heartexlabs
Python 12446 Version:1.7.2 License: Permissive (Apache-2.0)
cleanlabby cleanlab
5606 Version:v2.3.0The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
cleanlabby cleanlab
Python 5606 Version:v2.3.0 License: Strong Copyleft (AGPL-3.0)
cleanlabby cgnorthcutt
2008 Version:v1.0The 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
588 Version:CurrentSloth 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
467 Version:CurrentSemi-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
415 Version:0.9.1Data Preparation for Satellite Machine Learning
label-makerby developmentseed
Python 415 Version:0.9.1 License: Permissive (MIT)
LabelFusionby RobotLocomotion
343 Version:CurrentLabelFusion: 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
0 Version:CurrentOpen Source labeling tool to generate the training data in the format YOLO requires.
OpenLabelingby ristofer
Python 0 Version:Current License: Others (Non-SPDX)