Alternatives and similar repositories for data-quality-tools

Users that are interested in data-quality-tools are comparing it to the libraries listed below

• MrPowers / farsante
  Fake Pandas / PySpark DataFrame creator
  ☆48Updated last year
• ssp-data / data-engineering-devops
  Full stack data engineering tools and infrastructure set-up
  ☆57Updated 4 years ago
• zsvoboda / ngods
  New generation opensource data stack
  ☆76Updated 3 years ago
• danielbeach / tinytimmy
  A simple and easy to use Data Quality (DQ) tool built with Python.
  ☆50Updated 2 years ago
• ploomber / projects
  Sample projects using Ploomber.
  ☆86Updated last year
• fugue-project / tutorials
  Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…
  ☆114Updated last month
• Data-Engineer-Camp / modern-elt-demo
  A modern ELT demo using airbyte, dbt, snowflake and dagster
  ☆28Updated 3 years ago
• Data-Engineering-Weekly / dataengineeringweekly
  Weekly Data Engineering Newsletter
  ☆97Updated last year
• jacobceles / intro-to-colab-pyspark-emr
  A tutorial that helps Big Data Engineers ramp up faster by getting familiar with PySpark dataframes and functions. It also covers topics …
  ☆20Updated 4 years ago
• franloza / coches-net-dashboard
  Sample project that use Dagster, dbt, DuckDB and Dash to visualize car and motorcycle Spanish market
  ☆58Updated 3 years ago
• josephmachado / cost_effective_data_pipelines
  Cost Efficient Data Pipelines with DuckDB
  ☆60Updated 7 months ago
• datakickstart / databricks-notebooks
  ☆10Updated 3 years ago
• jonathanneo / data-aware-orchestration
  Data-aware orchestration with dagster, dbt, and airbyte
  ☆31Updated 2 years ago
• AnalyticsInsightsNinja / Python_TidyData
  How to use Python to understand data and transform the data into a tidy format ready to be used for modelling and visualisation.
  ☆36Updated 6 years ago
• jwills / de4ml
  Supporting materials/code examples for my course in data engineering for machine learning.
  ☆39Updated 3 years ago
• ing-bank / spark-matcher
  Record matching and entity resolution at scale in Spark
  ☆36Updated 2 years ago
• fal-ai / dbt_feature_store
  Build your feature store with macros right within your dbt repository
  ☆39Updated 3 years ago
• monte-carlo-data / data-observability-in-practice
  Source code for the MC technical blog post "Data Observability in Practice Using SQL"
  ☆40Updated last year
• ismaildawoodjee / GreatEx
  A project for exploring how Great Expectations can be used to ensure data quality and validate batches within a data pipeline defined in …
  ☆23Updated 3 years ago
• ThunderStruct / nbrefactor
  An automation tool to refactor Jupyter Notebooks to Python modules, with code dependency analysis.
  ☆12Updated 9 months ago
• PacktPublishing / Driving-Data-Quality-with-Data-Contracts
  ☆35Updated last week
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 3 years ago
• cnstlungu / portable-data-stack-sqlmesh
  A portable Datamart and Business Intelligence suite built with Docker, sqlmesh + dbtcore, DuckDB and Superset
  ☆55Updated 2 months ago
• DataForScience / Graphs4Sci
  ☆48Updated last year
• monte-carlo-data / data-downtime-challenge
  ☆93Updated 2 years ago
• aivanzhang / panda_patrol
  ☆23Updated last year
• MrPowers / beavis
  Pandas helper functions
  ☆31Updated 2 years ago
• mattmartin14 / dream_machine
  ☆72Updated last week
• jacopotagliabue / paas-data-ingestion
  Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner
  ☆71Updated 3 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago