autogluon.common
Fast and Accurate ML in 3 Lines of Code
Decision gist · record as of 2026-08-14
Yes—install it as part of AutoGluon if you are using any AutoGluon predictor (tabular, time series, or multimodal). It is a required dependency, actively maintained, has no security issues, and carries a permissive Apache-2.0 license. If you are not using AutoGluon, there is no reason to install this package directly.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10–3.13; earlier or later versions are not supported.
- Low friction installation with a pure-Python wheel.
- Active maintenance with a recent release (8 days old) and strong repository signal (10596 stars).
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions. You may use, modify, and distribute the code provided you retain license notices and include a copy of the license.
last release 2026-08-06 (8 days) · last repo commit 2026-08-14 · 10,596 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 372,186 downloads/mo, #7,165 on PyPI
Alternatives
Verify before relying
pip install autogluon.common
from autogluon.common import something
# Use shared utilities from AutoGluon ecosystem- What specific utilities and functions autogluon.common exports and what they are used for
- Whether this package is intended for direct use or primarily as an internal dependency for other AutoGluon modules
- Performance characteristics or scalability limits for the shared infrastructure
What it is and what it does
autogluon.common is a shared utility package within the AutoGluon automated machine learning framework, developed by AWS AI. It provides common infrastructure and helper functions used across AutoGluon's various predictors (TabularPredictor, TimeSeriesPredictor, MultiModalPredictor) and other components. The package abstracts away boilerplate and reusable logic so that higher-level AutoGluon modules can focus on their specific tasks without duplicating code.
This is primarily a dependency package—it is installed as part of the AutoGluon ecosystem rather than used standalone. It depends on standard data science libraries (numpy, pandas, scikit-learn) and AWS integration tools (boto3), along with utilities for task scheduling (joblib), progress reporting (tqdm), and configuration management (pyyaml). The package is actively maintained, supports Python 3.10–3.13 across Linux, macOS, and Windows, and carries no known security vulnerabilities.
Use it for
- As a dependency when installing AutoGluon for tabular, time series, or multimodal machine learning tasks
- Accessing shared data preprocessing or validation utilities if you are extending AutoGluon or building on top of its ecosystem
- Leveraging common configuration and logging infrastructure across multiple AutoGluon-based workflows
- Working with AWS S3 integration for model storage and data loading via boto3 bindings in the common layer
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes—install it as part of AutoGluon if you are using any AutoGluon predictor (tabular, time series, or multimodal).
It is a required dependency, actively maintained, has no security issues, and carries a permissive Apache-2.0 license. If you are not using AutoGluon, there is no reason to install this package directly.
Install
autogluon-common on PyPI
Before you install
Low friction installation with a pure-Python wheel. Active maintenance with a recent release (8 days old) and strong repository signal (10596 stars). Depends on well-established libraries (numpy, pandas, scikit-learn, boto3, joblib) with no exotic or compiled dependencies.
Requires Python 3.10–3.13; earlier or later versions are not supported.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions. You may use, modify, and distribute the code provided you retain license notices and include a copy of the license.
Quickstart
pip install autogluon.common
from autogluon.common import something
# Use shared utilities from AutoGluon ecosystemVerify before relying
- What specific utilities and functions autogluon.common exports and what they are used for
- Whether this package is intended for direct use or primarily as an internal dependency for other AutoGluon modules
- Performance characteristics or scalability limits for the shared infrastructure
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <3.14,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 11 packagesnumpypandaspyarrowboto3psutiltqdmrequestsjoblibpyyamlpackagingscikit-learn |
| Maintenance | Actively maintained 8 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 372,186 / month, #7,165 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: Customer ServiceIntended Audience :: DevelopersIntended Audience :: EducationIntended Audience :: Financial and Insurance IndustryIntended Audience :: Healthcare IndustryIntended Audience :: Science/ResearchIntended Audience :: Telecommunications IndustryOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIXOperating System :: UnixProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Topic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Scientific/Engineering :: Image RecognitionTopic :: Scientific/Engineering :: Information AnalysisTopic :: Software Development |
Evidence: autogluon_common-1.6.1-py3-none-any.whl
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See also autogluon.core · autogluon · autogluon.features · autogluon.timeseries · autogluon.multimodal · autogluon.text · autogluon.vision · autogluon.tabular · ruamel.base · Geode-Common