Alternatives and similar repositories for dataiku-api-client-python

Users that are interested in dataiku-api-client-python are comparing it to the libraries listed below

• tomaszdudek7 / airflow_project
  scaffold of Apache Airflow executing Docker containers
  ☆86Updated 2 years ago
• sosuneko / pydqc
  python automatic data quality check toolkit
  ☆282Updated 5 years ago
• ananthdurai / airflow-training
  Airflow training for the crunch conf
  ☆105Updated 6 years ago
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆108Updated 6 years ago
• trallard / airflow-tutorial
  🐍💨 Airflow tutorial for PyCon 2019
  ☆85Updated 2 years ago
• michaelchanwahyan / datalab
  ☆112Updated 8 months ago
• great-expectations / great_expectations_action
  A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.
  ☆81Updated last year
• greatexpectationslabs / ge_tutorials
  Learn how to add data validation and documentation to a data pipeline built with dbt and Airflow.
  ☆169Updated last year
• artefactory / one-click-mlflow
  A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command
  ☆71Updated 4 months ago
• dataiku / dataiku-contrib
  Public repository for DSS plugins
  ☆103Updated 4 months ago
• dvgodoy / handyspark
  HandySpark - bringing pandas-like capabilities to Spark dataframes
  ☆196Updated 6 years ago
• dataquestio / analytics_pipeline
  Code to build a simple analytics data pipeline with Python
  ☆102Updated 8 years ago
• datacamp / viewflow
  Viewflow is an Airflow-based framework that allows data scientists to create data models without writing Airflow code.
  ☆126Updated 4 years ago
• sizrailev / life-around-data-code
  Code snippets and tools published on the blog at lifearounddata.com
  ☆12Updated 5 years ago
• monte-carlo-data / data-downtime-challenge
  ☆88Updated 2 years ago
• ThoughtWorksInc / CD4ML-Scenarios
  Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshop…
  ☆144Updated last year
• mdh266 / AirflowETL
  Blog post on ETL pipelines with Airflow
  ☆24Updated 3 weeks ago
• kjam / data-pipelines-course
  Course materials for my data pipeline video course with O'Reilly
  ☆201Updated 8 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 5 years ago
• tirthajyoti / pydbgen
  Random dataframe and database table generator
  ☆312Updated 4 years ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆104Updated 2 years ago
• mlflow / mlflow-example
  An example MLflow project
  ☆272Updated last year
• dmatrix / feast_workshops
  A series of workshop modules introducing Feast feature store.
  ☆19Updated 3 years ago
• amesar / mlflow-spark-summit-2019
  MLFlow Spark Summit 2019 Presentation
  ☆67Updated 6 years ago
• airflow-plugins / Example-Airflow-DAGs
  Example DAGs using hooks and operators from Airflow Plugins
  ☆347Updated 7 years ago
• julioasotodv / spark-df-profiling
  Create HTML profiling reports from Apache Spark DataFrames
  ☆196Updated 5 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated 11 months ago
• Minyus / Python_Packages_for_Pipeline_Workflow
  This article compares open-source Python packages for pipeline/workflow development: Airflow, Luigi, Gokart, Metaflow, Kedro, PipelineX.
  ☆57Updated 5 years ago
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆182Updated last year
• deliveryhero / pyconde2019-airflow-ml-workshop
  PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.
  ☆47Updated 2 years ago