Alternatives and similar repositories for sparkit-learn

Users that are interested in sparkit-learn are comparing it to the libraries listed below

• jadianes / spark-py-notebooks
  Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
  ☆1,653Updated last year
• sryza / spark-timeseries
  A library for time series analysis on Apache Spark
  ☆1,193Updated 4 years ago
• maxpumperla / elephas
  Distributed Deep learning with Keras & Spark
  ☆1,574Updated 2 years ago
• linkedin / photon-ml
  A scalable machine learning library on Apache Spark
  ☆795Updated 3 years ago
• sparklingpandas / sparklingpandas
  Sparkling Pandas
  ☆363Updated last year
• combust / mleap
  MLeap: Deploy ML Pipelines to Production
  ☆1,515Updated 6 months ago
• h2oai / sparkling-water
  Sparkling Water provides H2O functionality inside Spark cluster
  ☆974Updated 7 months ago
• minrk / findspark
  ☆523Updated 3 years ago
• amplab / SparkNet
  Distributed Neural Networks for Spark
  ☆604Updated 4 years ago
• apache / incubator-toree
  Mirror of Apache Toree (Incubating)
  ☆745Updated last month
• mahmoudparsian / pyspark-tutorial
  PySpark-Tutorial provides basic algorithms using PySpark
  ☆1,226Updated 3 weeks ago
• jpmml / sklearn2pmml
  Python library for converting Scikit-Learn pipelines to PMML
  ☆693Updated this week
• jupyter-incubator / sparkmagic
  Jupyter magics and kernels for working with remote Spark clusters
  ☆1,354Updated 3 weeks ago
• thunder-project / thunder
  scalable analysis of images and time series
  ☆823Updated 8 years ago
• cerndb / dist-keras
  Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
  ☆623Updated 6 years ago
• rhiever / datacleaner
  A Python tool that automatically cleans data sets and readies them for analysis.
  ☆1,067Updated 6 years ago
• yahoo / TensorFlowOnSpark
  TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
  ☆3,873Updated last year
• graphframes / graphframes
  GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
  ☆1,060Updated last week
• jkthompson / pyspark-pictures
  Learn the pyspark API through pictures and simple examples
  ☆170Updated 4 years ago
• adatao / tensorspark
  TensorFlow on Spark
  ☆297Updated 7 years ago
• szilard / benchm-ml
  A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2…
  ☆1,887Updated 2 years ago
• svenkreiss / pysparkling
  A pure Python implementation of Apache Spark's RDD and DStream interfaces.
  ☆270Updated 9 months ago
• NathanEpstein / Dora
  Tools for exploratory data analysis in Python
  ☆646Updated last year
• dirkneumann / deepdist
  Distributed Deep Learning on Spark
  ☆402Updated 8 years ago
• tmadl / sklearn-expertsys
  Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
  ☆490Updated 7 years ago
• twosigma / flint
  A Time Series Library for Apache Spark
  ☆1,016Updated 4 years ago
• drabastomek / learningPySpark
  Code base for the Learning PySpark book (in preparation)
  ☆624Updated 6 years ago
• adornes / spark_python_ml_examples
  Spark 2.0 Python Machine Learning examples
  ☆98Updated 5 years ago
• zygmuntz / phraug
  A set of simple Python scripts for pre-processing large files
  ☆273Updated last year
• freeman-lab / spark-ml-streaming
  Visualize streaming machine learning in Spark
  ☆176Updated 7 years ago