Alternatives and similar repositories for scaling-python-with-dask

Users that are interested in scaling-python-with-dask are comparing it to the libraries listed below

• ing-bank / spark-matcher
  Record matching and entity resolution at scale in Spark
  ☆34Updated last year
• linkedin / lambda-learner
  Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.
  ☆42Updated 2 years ago
• MrPowers / farsante
  Fake Pandas / PySpark DataFrame creator
  ☆46Updated last year
• dmatrix / ray-core-tutorial
  Introduction to Ray Core Design Patterns and APIs.
  ☆68Updated last year
• delta-incubator / deltatorch
  ☆58Updated last year
• BryanCutler / SparkArrowFlight
  Example for simple Apache Arrow Flight service with Apache Spark and TensorFlow clients
  ☆36Updated 4 years ago
• wesm / vldb-2019-apache-arrow-workshop
  Materials for Apache Arrow workshop at VLDB 2019
  ☆42Updated 4 years ago
• mlrun / storey
  real-time data + ML pipeline
  ☆54Updated this week
• scalingpythonml / scaling-python-with-ray
  Serverless Python with Ray
  ☆55Updated 2 years ago
• delta-incubator / deltaray
  Delta reader for the Ray open-source toolkit for building ML applications
  ☆46Updated last year
• scalingpythonml / scalingpythonml
  Scaling Python Machine Learning
  ☆46Updated last year
• xdssio / big_data_benchmarks
  big data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.
  ☆65Updated 4 years ago
• msubzero2000 / bayesian-optimisation-metaflow-optuna
  example how to perform distributed bayesian optimisation (autoML) using optuna on metaflow
  ☆10Updated 3 years ago
• BauplanLabs / no-jvm-wap-with-iceberg
  A write-audit-publish implementation on a data lake without the JVM
  ☆46Updated 9 months ago
• fal-ai / dbt_feature_store
  Build your feature store with macros right within your dbt repository
  ☆38Updated 2 years ago
• jason-jz-zhu / databathing
  ☆22Updated 2 months ago
• jwills / de4ml
  Supporting materials/code examples for my course in data engineering for machine learning.
  ☆38Updated 2 years ago
• tecton-ai / apply-workshop-2022
  ☆17Updated 2 years ago
• suhailrehman / fuzzydata
  Fuzzy Data Benchmark
  ☆17Updated last year
• dmatrix / feast_workshops
  A series of workshop modules introducing Feast feature store.
  ☆19Updated 2 years ago
• 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
• yaooqinn / itachi
  A library that brings useful functions from various modern database management systems to Apache Spark
  ☆59Updated last year
• ibis-project / ibis-ml
  IbisML is a library for building scalable ML pipelines using Ibis.
  ☆108Updated 4 months ago
• projectnessie / nessie-demos
  Demos for Nessie. Nessie provides Git-like capabilities for your Data Lake.
  ☆29Updated 2 weeks ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• mfcabrera / hooqu
  hooqu is a library built on top of Pandas-like Dataframes for defining "unit tests for data". This is a spiritual port of Apache Deequ to…
  ☆29Updated 5 months ago
• dbis-ilm / grizzly
  A Python-to-SQL transpiler as replacement for Python Pandas
  ☆48Updated 2 years ago
• ibis-project / ibis-analytics
  Ibis analytics, with Ibis (and more!)
  ☆21Updated 7 months ago
• composable-logs / composable-logs
  Python library to run ML/data pipelines on stateless compute infrastructure (that may be ephemeral or serverless). Please see the documen…
  ☆18Updated last year
• NVIDIA / spark-xgboost-examples
  XGBoost GPU accelerated on Spark example applications
  ☆52Updated 2 years ago