Alternatives and similar repositories for pytest_examples

Users that are interested in pytest_examples are comparing it to the libraries listed below

• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆83Updated 2 months ago
• Bergvca / pyspark_dist_explore
  Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.
  ☆102Updated 6 years ago
• tdda / tdda
  Test-Driven Data Analysis Functions
  ☆303Updated 3 months ago
• sosuneko / pydqc
  python automatic data quality check toolkit
  ☆282Updated 5 years ago
• priceloop / conventions
  ∞ Priceloop Engineering Conventions for Scala, Python, Git Workflow etc
  ☆100Updated 3 years ago
• trallard / airflow-tutorial
  🐍💨 Airflow tutorial for PyCon 2019
  ☆87Updated 2 years ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆59Updated 7 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆121Updated 5 years ago
• ananthdurai / airflow-training
  Airflow training for the crunch conf
  ☆104Updated 7 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• NatanMish / data_validation
  Tutorial for implementing data validation in data science pipelines
  ☆33Updated 3 years ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆201Updated last year
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆183Updated last year
• osin-vladimir / mlflow_tutorial
  Managing machine learning life-cycle with MLflow tutorial
  ☆23Updated 2 years ago
• dslp / dslp-repo-template
  Template repository for data science lifecycle project
  ☆198Updated 5 years ago
• klemag / pydataLDN_2019-maintainable-code-for-data-science
  ☆47Updated 6 years ago
• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆158Updated 5 years ago
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆108Updated 6 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• TomAugspurger / dask-tutorial-pycon-2018
  ☆136Updated 6 years ago
• Coldsp33d / stackoverflow-pandas-canonicals
  A directory listing of all my pandas canonicals on Stack Overflow to date.
  ☆174Updated 4 years ago
• heidelbergcement / hcrystalball
  A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…
  ☆150Updated last year
• hackalog / bus_number
  Up Your Bus Number: A Primer for Reproducible Data Science
  ☆69Updated 6 years 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
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆117Updated last year
• jmwoloso / pychattr
  Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library
  ☆59Updated 3 years ago
• chrispaulca / waterfall
  An easy to use waterfall chart function for Python
  ☆164Updated 4 years ago
• trainindata / testing-and-monitoring-ml-deployments
  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"
  ☆136Updated last year
• monte-carlo-data / data-downtime-challenge
  ☆93Updated 2 years ago
• tamsanh / kedro-great
  The easiest way to integrate Kedro and Great Expectations
  ☆54Updated 2 years ago