Alternatives and similar repositories for tutorials

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

• ibis-project / ibis-ml
  IbisML is a library for building scalable ML pipelines using Ibis.
  ☆115Updated 3 weeks ago
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆35Updated 11 months ago
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆54Updated last month
• canimus / cuallee
  Possibly the fastest DataFrame-agnostic quality check library in town.
  ☆202Updated last week
• rasgointelligence / RasgoQL
  Write python locally, execute SQL in your data warehouse
  ☆270Updated 3 years ago
• atoti / atoti
  Notebook gallery and issue tracking for Atoti
  ☆226Updated last week
• MrPowers / farsante
  Fake Pandas / PySpark DataFrame creator
  ☆48Updated last year
• tamsanh / kedro-great
  The easiest way to integrate Kedro and Great Expectations
  ☆54Updated 2 years ago
• kedro-org / kedro-starters
  Templates for your Kedro projects.
  ☆77Updated 3 weeks ago
• ing-bank / popmon
  Monitor the stability of a Pandas or Spark dataframe ⚙︎
  ☆504Updated 6 months ago
• kedro-org / awesome-kedro
  Plugins, extensions, case studies, articles, and video tutorials for Kedro
  ☆85Updated 8 months ago
• alteryx / woodwork
  Woodwork is a Python library that provides robust methods for managing and communicating data typing information.
  ☆155Updated this week
• danielbeach / tinytimmy
  A simple and easy to use Data Quality (DQ) tool built with Python.
  ☆50Updated last year
• ploomber / soorgeon
  Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊
  ☆79Updated 11 months ago
• kedro-org / kedro-plugins
  First-party plugins maintained by the Kedro team.
  ☆103Updated last week
• MrPowers / beavis
  Pandas helper functions
  ☆31Updated 2 years ago
• ploomber / projects
  Sample projects using Ploomber.
  ☆86Updated last year
• fal-ai / dbt_feature_store
  Build your feature store with macros right within your dbt repository
  ☆39Updated 2 years ago
• anna-geller / prefect-deployment-patterns
  Code examples showing flow deployment to various types of infrastructure
  ☆109Updated 2 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.
  ☆80Updated last year
• dask-contrib / dask-snowflake
  Dask integration for Snowflake
  ☆30Updated 2 weeks ago
• mlrun / storey
  real-time data + ML pipeline
  ☆54Updated this week
• MatsMoll / aligned
  The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt
  ☆60Updated this week
• Swiple / swiple
  Swiple enables you to easily observe, understand, validate and improve the quality of your data
  ☆84Updated this week
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆82Updated last year
• HotTechStack / polars-docs-mcp
  A FastMCP tool to search and retrieve Polars API documentation.
  ☆66Updated 2 months ago
• pybokeh / dagster-sklearn
  dagster scikit-learn pipeline example.
  ☆46Updated 2 years ago
• capitalone / rubicon-ml
  Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!
  ☆136Updated this week
• aivanzhang / panda_patrol
  ☆23Updated last year
• jeppe742 / DeltaLakeReader
  Read Delta tables without any Spark
  ☆47Updated last year