Skip to main content

Access Kaggle resources anywhere

Project description

Kaggle CLI

The official CLI to interact with Kaggle.


User documentation


Key Features

Some of the key features are:

  • List competitions, download competition data, submit to a competition.
  • List, create, update, download or delete datasets.
  • List, create, update, download or delete models & model variations.
  • List, update & run, download code & output or delete kernels (notebooks).

Installation

Install the kaggle package with pip:

pip install kaggle

Additional installation instructions can be found here.

Quick start

Explore the available commands by running:

kaggle --help

See the User documentation for more examples & tutorials.

Development

Prerequisites

We use hatch to manage this project.

Follow these instructions to install it.

Run kaggle from source

Option 1: Execute a one-liner of code from the command line

hatch run kaggle datasets list

Option 2: Run many commands in a shell

hatch shell

# Inside the shell, you can run many commands
kaggle datasets list
kaggle competitions list
...

Lint / Format

# Lint check
hatch run lint:style
hatch run lint:typing
hatch run lint:all     # for both

# Format
hatch run lint:fmt

Tests

Note: These tests are not true unit tests and are calling the Kaggle web server.

# Run against kaggle.com
hatch run test:prod

# Run against a local web server (Kaggle engineers only)
hatch run test:local

Integration Tests

To run integration tests on your local machine, you need to set up your Kaggle credentials. You can do this by following the authentication instructions.

After setting up your credentials, you can run the integration tests as follows:

hatch run test:integration

Running hatch commands inside Docker

This is useful to run in a consistent environment and easily switch between Python versions.

The following shows how to run hatch run lint:all but this also works for any other hatch commands:

# Use default Python version
./docker-hatch run lint:all

Changelog

See CHANGELOG.

Contributing

See CONTRIBUTING.md.

License

The Kaggle CLI is released under the Apache 2.0 license.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

kaggle-2.0.2.tar.gz (140.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

kaggle-2.0.2-py3-none-any.whl (89.7 kB view details)

Uploaded Python 3

File details

Details for the file kaggle-2.0.2.tar.gz.

File metadata

  • Download URL: kaggle-2.0.2.tar.gz
  • Upload date:
  • Size: 140.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.2

File hashes

Hashes for kaggle-2.0.2.tar.gz
Algorithm Hash digest
SHA256 fba1bc09053e7a370c7c500cc4821e3e0901cf289c5096bbb799fbf1ed53cdb7
MD5 778995ab11afc8d7cd83bd424d875d37
BLAKE2b-256 ee77ad40fed5265e39fbc087ccc43d8337ce7899c0073af9800888b15c462798

See more details on using hashes here.

File details

Details for the file kaggle-2.0.2-py3-none-any.whl.

File metadata

  • Download URL: kaggle-2.0.2-py3-none-any.whl
  • Upload date:
  • Size: 89.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.2

File hashes

Hashes for kaggle-2.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 751507e71242bdf5b96f362c3a100270ede71766038b6e5e97605ac7ad141685
MD5 08b3a9b919e32d7de236ffb167c1eb63
BLAKE2b-256 af9db4781ddac66c28370229ad0cc7a9b185f6a91b7e4b3d6e3abf88bd2a74da

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page