Introduction
This article introduces the main commands of Kedro.
Global CLI
The following commands can be run from any directory.
kedro --help
: check Kedro helpkedro --version
: check Kedro versionkedro docs
: open a browser and go to the Kedro documentationkedro new
: create a new project
Project-local CLI
The following commands must be executed from the project root directory.
kedro catalog list
: displays a list of datasets per pipelinekedro catalog list --pipeline "ds,de"
: list datasets for a specific pipelinekedro catalog create --pipeline <pipeline_name>
: create a YAML file for a DataCatalogkedro ipython
: launch IPythonkedro jupyter lab
: launch Jupyter Labkedro jupyter notebook
: launch Jupyter Notebookkedro jupyter convert notebooks/my_notebook.ipynb
: copy the notebook codekedro package
: package the project in thedist/
folderkedro pipeline create <pipeline_name>
: create a pipelinekedro pipeline delete <pipeline_name>
: delete a pipelinekedro registry describe <pipeline_name>
: display pipeline descriptionkedro registry list
: display list of registered pipelineskedro run
: run a pipeline
project-local CLI (deprecated)
The following commands are deprecated from version 0.19.0
.
kedro build-docs
: create HTML documentationkedro lint
: applyblack
,flake8
, andisort
kedro test
: runpytest
References
AlloyDB
Amazon Cognito
Amazon EC2
Amazon ECS
Amazon QuickSight
Amazon RDS
Amazon Redshift
Amazon S3
API
Autonomous Vehicle
AWS
AWS API Gateway
AWS Chalice
AWS Control Tower
AWS IAM
AWS Lambda
AWS VPC
BERT
BigQuery
Causal Inference
ChatGPT
Chrome Extension
CircleCI
Classification
Cloud Functions
Cloud IAM
Cloud Run
Cloud Storage
Clustering
CSS
Data Engineering
Data Modeling
Database
dbt
Decision Tree
Deep Learning
Descriptive Statistics
Differential Equation
Dimensionality Reduction
Discrete Choice Model
Docker
Economics
FastAPI
Firebase
GIS
git
GitHub
GitHub Actions
Google
Google Cloud
Google Search Console
Hugging Face
Hypothesis Testing
Inferential Statistics
Interval Estimation
JavaScript
Jinja
Kedro
Kubernetes
LightGBM
Linux
LLM
Mac
Machine Learning
Macroeconomics
Marketing
Mathematical Model
Meltano
MLflow
MLOps
MySQL
NextJS
NLP
Nodejs
NoSQL
ONNX
OpenAI
Optimization Problem
Optuna
Pandas
Pinecone
PostGIS
PostgreSQL
Probability Distribution
Product
Project
Psychology
Python
PyTorch
QGIS
R
ReactJS
Regression
Rideshare
SEO
Singer
sklearn
Slack
Snowflake
Software Development
SQL
Statistical Model
Statistics
Streamlit
Tabular
Tailwind CSS
TensorFlow
Terraform
Transportation
TypeScript
Urban Planning
Vector Database
Vertex AI
VSCode
XGBoost