kaggle

What it is and what it does

Kaggle is the official command-line interface to the Kaggle platform, allowing developers and data scientists to interact with competitions, datasets, models, and notebooks directly from the terminal. It wraps the kagglesdk library and exposes Kaggle's core workflows—downloading competition data, uploading and managing datasets, submitting competition entries, and managing Kaggle notebooks—without opening a browser.

The package depends on 11 runtime libraries including requests for HTTP communication, protobuf for serialization, tqdm for progress bars, and python-dotenv for credential management. It is actively maintained, requires Python 3.11 or later, and ships as a pure Python wheel with no compiled dependencies, making installation straightforward across platforms.

Use it for:

• Download competition datasets and submit predictions to Kaggle competitions from a CI/CD pipeline or local machine.
• Automate dataset uploads and version management without manual web interface interaction.
• Manage Kaggle notebooks (kernels) and retrieve their outputs programmatically.
• Host and configure new competitions end-to-end using scaffold and launch commands.
• Browse and interact with Kaggle discussion forums from the command line.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Command-line interface to interact with Kaggle—download competition data, manage datasets and models, submit to competitions, and browse forums.

Yes. The package is actively maintained, has no known vulnerabilities, carries a permissive Apache 2.0 license, and installs with low friction. It is the official Kaggle CLI and is well-suited for anyone who regularly works with Kaggle competitions, datasets, or models and prefers command-line or scripted workflows over the web interface.

Install

kaggle on PyPI

pip install kaggle

uv add kaggle

poetry add kaggle

Installing kaggle

Before you install

Low install friction; pure Python wheel with no compiled dependencies. Actively maintained with a release 22 days ago and 7497 GitHub stars. Requires Python 3.11 or later.

License in practice

Apache 2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions—suitable for both personal and business projects.

Quickstart

pip install kaggle

kaggle --help
kaggle datasets list
kaggle competitions list

Requires Python 3.11 or later. Authentication via Kaggle API credentials (typically stored in ~/.kaggle/kaggle.json) is needed for most operations.

Verify before relying

• Whether all Kaggle.com features are fully supported via CLI or if some require the web interface.
• Rate limits or throttling behavior when making bulk requests through the CLI.
• Whether offline operation is possible or if all commands require live internet connectivity to Kaggle servers.

Package facts

Evidence: kaggle-2.2.4-py3-none-any.whl

Keywords: API, Kaggle

Tags

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