Alternatives and similar repositories for big_data_benchmarks

Users that are interested in big_data_benchmarks are comparing it to the libraries listed below

• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆105Updated 2 years ago
• alteryx / autonormalize
  python library for automated dataset normalization
  ☆116Updated 2 years ago
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆86Updated last year
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• hypergol / hypergol
  Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…
  ☆53Updated 2 years ago
• tgsmith61591 / skoot
  A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…
  ☆57Updated 4 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• sosuneko / pydqc
  python automatic data quality check toolkit
  ☆282Updated 5 years ago
• ing-bank / spark-matcher
  Record matching and entity resolution at scale in Spark
  ☆35Updated 2 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 3 years ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• vaexio / vaex-talks
  Talks about vaex
  ☆36Updated 2 years ago
• dhaitz / machine-learning-interactive-visualization
  Interactive visualization of machine learning model evaluation metrics
  ☆65Updated 6 years ago
• ww-tech / primrose
  Primrose modeling framework for simple production models
  ☆32Updated last year
• darenasc / auto-eda
  Automated Exploratory Data Analysis. Simplifying Data Exploration
  ☆36Updated 5 years ago
• fastai / fastsql1
  A bit of extra usability for sqlalchemy v2.
  ☆78Updated 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 week
• omegaml / omegaml
  MLOps simplified. One-stop AI delivery platform, all the features you need.
  ☆103Updated this week
• coiled / data-science-at-scale
  A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using th…
  ☆119Updated 2 years ago
• amueller / dabl
  Data Analysis Baseline Library
  ☆133Updated last year
• CODAIT / text-extensions-for-pandas
  Natural language processing support for Pandas dataframes.
  ☆217Updated 8 months ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 2 years ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 3 years ago
• EthicalML / explainability-and-bias
  ☆103Updated 2 years ago
• WinVector / pyvtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆120Updated 10 months ago
• tkp-archive / paperboy
  A web frontend for scheduling Jupyter notebook reports
  ☆254Updated 11 months ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆104Updated 4 years ago
• facultyai / lens
  Summarise and explore Pandas DataFrames
  ☆98Updated 5 years ago
• ml-tooling / lazycluster
  🎛 Distributed machine learning made simple.
  ☆49Updated 2 years ago