Alternatives and similar repositories for tecton-sample-repo

Users that are interested in tecton-sample-repo are comparing it to the libraries listed below

• dmatrix / feast_workshops
  A series of workshop modules introducing Feast feature store.
  ☆19Updated 3 years ago
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆74Updated 2 years ago
• geoHeil / awesome-tools
  curated list of awesome tools and libraries for specific domains
  ☆50Updated this week
• adriangonz / mlflow-talk
  End to End example integrating MLFlow and Seldon Core
  ☆52Updated 4 years ago
• joblib / joblib-spark
  Joblib Apache Spark Backend
  ☆248Updated 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.
  ☆103Updated 5 years ago
• fal-ai / dbt_feature_store
  Build your feature store with macros right within your dbt repository
  ☆38Updated 2 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• margitaii / pydeequ
  Python API for Deequ
  ☆40Updated 4 years ago
• dask / dask-yarn
  Deploy dask on YARN clusters
  ☆69Updated 10 months ago
• dominodatalab / domino-research
  Projects developed by Domino's R&D team
  ☆76Updated 3 years ago
• dask / dask-xgboost
  ☆162Updated 3 years ago
• bytehub-ai / bytehub
  ByteHub: making feature stores simple
  ☆60Updated 4 years ago
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆54Updated 9 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.
  ☆80Updated last year
• tamsanh / kedro-great
  The easiest way to integrate Kedro and Great Expectations
  ☆52Updated 2 years ago
• kedro-org / awesome-kedro
  Plugins, extensions, case studies, articles, and video tutorials for Kedro
  ☆79Updated 6 months ago
• logicalclocks / hops-examples
  Examples for Deep Learning/Feature Store/Spark/Flink/Hive/Kafka jobs and Jupyter notebooks on Hops
  ☆117Updated 2 years ago
• artefactory / one-click-mlflow
  A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command
  ☆69Updated last month
• mark-hoffmann / fastteradata
  Tools for faster and optimized interaction with Teradata and large datasets.
  ☆17Updated 6 years ago
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆84Updated last year
• SauceCat / pydqc
  python automatic data quality check toolkit
  ☆283Updated 4 years ago
• FlorianWilhelm / wald-stack-demo
  🌳 WALD Stack Demo 🏎️
  ☆32Updated 9 months ago
• boxkite-ml / boxkite
  Concept drift monitoring for HA model servers.
  ☆101Updated 2 years ago
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆77Updated 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…
  ☆113Updated last year
• alteryx / featuretools-tsfresh-primitives
  TSFresh primitives for featuretools
  ☆36Updated 2 years ago
• combust / mleap-demo
  Demonstration code for MLeap, both Jupyter notebooks and projects
  ☆24Updated 5 years ago
• msubzero2000 / bayesian-optimisation-metaflow-optuna
  example how to perform distributed bayesian optimisation (autoML) using optuna on metaflow
  ☆10Updated 3 years ago
• gopro / facets-overview-spark
  Spark Implementation of Google Facets Overview https://github.com/PAIR-code/facets
  ☆54Updated last year