data-testing

There are 0 repository under data-testing topic.

• soda-core

  sodadata / soda-core

  :zap: Data quality testing for the modern data stack (SQL, Spark, and Pandas) https://www.soda.io

  data-contractsdata-engineeringdata-governancedata-monitoringdata-observabilitydata-profilingdata-qualitydata-quality-checksdata-quality-monitoringdata-quality-testingdata-reliabilitydata-testingdata-unit-testsdata-validationdataqualitydatatestingdbtpipeline-testingpythonsnowflake
  Language:Python 1921

• re-data / re-data

  re_data - fix data issues before your users & CEO would discover them 😊

  data-monitoringdata-analysisdata-qualitydata-quality-monitoringopen-source-toolingdata-observabilitydataqualitydata-testingdata-quality-checksdbtdbt-packagesdata-reliability
  Language:HTML 1555
• piperider

  InfuseAI / piperider

  Code review for data in dbt

  data-pipelinedata-profilingdata-qualitydata-sciencedata-explorationedaexploratory-data-analysisdata-testingpythondata-observabilitydata-profilerdata-reliabilitydata-visualizationdbtdbt-metricscode-reviewreportingpull-requestscontinuous-integration
  Language:Python 481

• LukaszLapaj / software-testing-resource-pack

  Various files useful for manual testing and test automation etc.

  quality-assurancesoftware-testingsoftware-qualityresource-packtestingtesting-toolsui-teststest-dataresourcesfront-end-testingmanual-testingbootstrappingbackend-testingdata-testingtest-automatione2e-testingapi-testinge2e-tests
  176

• astronomer / airflow-provider-great-expectations

  Great Expectations Airflow operator

  data-scienceairflow-operatorsdata-qualitydata-testingairflowairflow-providers
  Language:Python 159

• re-data / dbt-re-data

  re_data - fix data issues before your users & CEO would discover them 😊

  data-qualitydbtdata-monitoringdata-observabilitydata-testingdbt-packagessql
  Language:Python 99

• sodadata / soda-spark

  Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes

  sparkpysparkdata-engineeringdata-qualitydata-observabilitydata-testingsoda-sqlpython
  Language:Python 63
• dataops-testgen

  DataKitchen / dataops-testgen

  DataOps Data Quality TestGen is part of DataKitchen's Open Source Data Observability. DataOps TestGen delivers simple, fast data quality test generation and execution by data profiling,  new dataset hygiene review, AI generation of data quality validation tests, ongoing testing of data refreshes, & continuous anomaly monitoring

  datadata-engineeringdata-observabilitydata-qualitydata-sciencedata-testingdatacheckerdataprofilingdataqualitydatavalidationself-hosteddataopsmssqlpostgresqlpythonredshiftsnowflake
  Language:Python 44
• data-caterer

  data-catering / data-caterer

  Test data management tool for any data source, batch or real-time. Generate, validate and clean up data all in one tool.

  data-generationdata-testingdata-validationtesting-automationdata-qualitytest-data-generatortest-data-managementautomated-test-generationdata-contractssynthetic-datadata-cleanup
  Language:Scala 39

• sodadata / soda-github-action

  :zap: Prevent downstream data quality issues by integrating the Soda Library into your CI/CD pipeline.

  data-engineeringdata-monitoringdata-observabilitydata-qualitydata-quality-checksdata-quality-monitoringdata-quality-testingdata-reliabilitydata-testingdata-unit-testsdata-validationdataqualitydatatestingpipeline-testingsnowflake
  Language:Python 12

• serialbandicoot / great-assertions

  This library is inspired by the Great Expectations library. The library has made the various expectations found in Great Expectations available when using the inbuilt python unittest assertions.

  testinggreat-expectationspython3databrickspythondata-sciencejupyter-notebookquality-assurancedata-testing
  Language:Python 10
• data-caterer-example

  data-catering / data-caterer-example

  Example API implementation for Data Caterer

  batchdata-contractsdata-engineeringdata-gendata-generationdata-generatordata-qualitydata-testdata-testingdata-validationdata-validatorjavametadata-drivenreal-timescalatesting-automationyaml
  Language:Scala 5

• neonexus / fixted

  Simple DB Fixtures for Sails.js v1 (fake data for testing).

  data-testingdatabase-testingfixturesfixtures-replacementmodel-testingsailssailsjstesting
  Language:JavaScript 5

• andrjas / data_check

  data and pipeline testing with and for SQL

  data-engineeringdata-qualitydata-testingdata-unit-testsdatabasedataqualitypipelinesqldata-validation
  Language:Python 4

• ericmjl / software-testing-open-source-and-data-science

  Software Testing in Open Source and Data Science: A talk delivered at the Data Umbrella speaker series

  data-sciencedata-testingmachine-learning-testingsoftware-testingtesting
  4

• pflooky / data-caterer

  Data generation and validation tool for any data source

  data-generationdata-validationdata-qualitydata-testing
  Language:Scala 4

• pflooky / data-caterer-example

  Example API implementation for Data Caterer

  data-generationdata-generatordata-profilerdata-profilingdata-testingdata-validationdatageneratordockerdocker-composehelmjavakubernetesmetadatascalaschema-validationsqlsynthetic-data
  Language:Scala 3

• pflooky / data-caterer-docs

  Documentation for Data Caterer

  data-testingdata-validationdatagenerationdatageneratormetadatascalaschema-validationsynthetic-data
  Language:HTML 2

• manoj9788 / spark-etl-tests

  A sample repository showcasing, implementation of testing for ETL pipeline developed with Apache Spark

  scalaetletl-automationdata-testing
  1

• shridhar1504 / Sales-Forecasting-Datascience-Project

  Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.

  data-analyticsdata-cleaningdata-sciencedata-testingdata-visualizationforecasting-modelsmachinmodel-evaluationmodel-fittingpredictionpredictive-modelingpython3regression-algorithmssklearn-librarysupervised-learningsalesforecast
  Language:Jupyter Notebook 1

• blleshi / Credit_Risk_Classification

  Credit Risk Classification

  classification-reportconfusion-matrixcredit-riskdata-testingimbalanced-learninglendingloanslogistic-regressionlogistic-regression-modelpandasrandomoversamplerresampled-datatarget-classificationcredit-risk-classificationdata-training
  Language:Jupyter Notebook 0

• ojasphansekar / Data-Management-Co-op

  National Grid ( Python, SQL Server, SSIS, SSRS, Tableau, Power BI, SQL Server Import Export Wizard, Data Validations, Data Integrations, Data Conversions )

  data-integrationdata-architecturedata-validationdata-analysis-pythondata-testingprocess-flow-diagramdata-modelingdata-mapping
  0

• afairless / kalman_filter

  Translating between two sets of notation for Kalman filters

  controlcontrol-systemsdata-testingfilterfilteringfilterskalman-filtermath-equationspyteststate-space-modelstate-space-modelsstatisticstime-seriestime-series-analysistime-series-forecasting
  Language:HTML

• Balajimohan18 / Sales-Forecasting-Datascience-Project

  Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.

  data-analyticsdata-sciencedata-testingdata-visualizationforecastingforecasting-modelsmachine-learningmodel-evaluationpredictive-modelingpythonregression-algorithmssalesforecastscipysklearn-librarysupervised-learning
  Language:Jupyter Notebook

• JayLohokare / pySpark-data-testing-framework

  Dynamic data testing engine based on pySpark

  testing-frameworkdata-testingpysparkdatabricksazure
  Language:Jupyter Notebook

• neha-nayeem / machine-learning-challenge

  This project creates machine learning models capable of classifying candidate exoplanets from the raw dataset from NASA Kepler Space Telescope

  machine-learningsklearnjupyter-notebookpythonmodeltrainingmodel-trainingdata-testingpredictive-modeling

• siawayforward / dbt_about_it

  I'm learning how to use dbt with BigQuery so I can apply that knowledge wherever we end up working. It seems like a good DWH interface tool to know for data transformation and testing, and allows me to solidify concepts of testing in data ops.

  dbtdata-transformationdata-testing
  Language:Python