# Kaggle/kaggle-cli

Official Kaggle CLI

Repository: https://github.com/Kaggle/kaggle-cli
Canonical: https://ross.abutalabs.com/products/kaggle-cli
Language: Python
License: Apache-2.0
License Family: permissive
Last push: 2026-08-21T22:08:41+00:00

## Health v2 (maintenance only)
Score: 97/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 98, release rhythm 94, longevity 100
- inputs: {"age_days": 3142, "days_push": 12, "days_rel": 41, "gap_med": 28, "n_releases_24m": 8}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7511, forks 1408 (observed 2026-08-28T04:10:00.428765+00:00)

## What it is
The official Kaggle command-line interface for interacting with Kaggle competitions, datasets, models, notebooks, and discussion forums. It is a Python package installable via pip that wraps the Kaggle API.

## Use cases
- download competition data from kaggle
- submit predictions to a kaggle competition
- upload and version a dataset on kaggle
- run and download output from kaggle notebooks
- list kaggle competitions from the terminal
- host a new kaggle competition from the command line

## When to choose
- you want to script Kaggle API operations like dataset uploads or competition submissions
- you need to automate downloading Kaggle datasets in CI or pipelines
- you prefer managing Kaggle notebooks and models without the web UI

## When to avoid
- you need a graphical interface for browsing Kaggle
- you want to interact with Kaggle from a non-Python environment without shelling out
- you need offline access to Kaggle resources

## Facets
- artifact type: cli-tool
- maturity: active
- function: cli, http-client, developer-tools, data-science
- domain: data-science, developer-tools, machine-learning
- platform: python, cli, cross-platform
- tags: kaggle, competitions, datasets, notebooks, api-client, command-line

## Member repositories
- Kaggle/kaggle-cli (main) score 97

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:00.428765+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:37:30.100632+00:00, confidence not recorded.
  - readme: https://github.com/Kaggle/kaggle-cli (fetched 2026-08-28T04:10:00.428765+00:00, sha c891ef3f413e)
- Data as of 2026-08-30T08:39:29.467469+00:00.