Alternatives and similar repositories for rubicon-ml

Users that are interested in rubicon-ml are comparing it to the libraries listed below

• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆84Updated last year
• alteryx / woodwork
  Woodwork is a Python library that provides robust methods for managing and communicating data typing information.
  ☆155Updated this week
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆82Updated last year
• ploomber / ploomber-engine
  A toolbox 🧰 for Jupyter notebooks 📙: testing, experiment tracking, debugging, profiling, and more!
  ☆67Updated 11 months ago
• ibis-project / ibis-ml
  IbisML is a library for building scalable ML pipelines using Ibis.
  ☆115Updated 3 weeks ago
• deepyaman / kedro-accelerator
  Kedro-Accelerator speeds up pipelines by parallelizing I/O in the background.
  ☆36Updated 3 years ago
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆54Updated last month
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆35Updated 11 months ago
• BCG-X-Official / sklearndf
  DataFrame support for scikit-learn.
  ☆63Updated this week
• hackalog / easydata
  A flexible template for doing reproducible data science in Python.
  ☆110Updated last year
• dask-contrib / dask-snowflake
  Dask integration for Snowflake
  ☆30Updated 3 weeks 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
• dask / dask-cloudprovider
  Cloud provider cluster managers for Dask. Supports AWS, Google Cloud Azure and more...
  ☆144Updated 2 weeks 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
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• tamsanh / kedro-great
  The easiest way to integrate Kedro and Great Expectations
  ☆54Updated 2 years ago
• godatadriven / evol
  a python grammar for evolutionary algorithms and heuristics
  ☆191Updated 3 years ago
• azukds / tubular
  Python package implementing transformers for pre processing steps for machine learning.
  ☆63Updated last week
• facultyai / lens
  Summarise and explore Pandas DataFrames
  ☆98Updated 5 years ago
• jordanvolz / lolpop
  A software engineering framework to jump start your machine learning projects
  ☆37Updated last year
• ZaxR / bulwark
  Bulwark is a package for convenient property-based testing of pandas dataframes.
  ☆226Updated 5 years ago
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆90Updated 11 months ago
• tdda / tdda
  Test-Driven Data Analysis Functions
  ☆299Updated last month
• treebeardtech / nbmake-action
  GitHub Action for testing notebooks
  ☆151Updated 3 years ago
• pyscaffold / pyscaffoldext-dsproject
  💫 PyScaffold extension for data-science projects
  ☆159Updated 2 weeks ago
• ploomber / soorgeon
  Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊
  ☆79Updated 11 months ago
• Alcampopiano / hypothesize
  Robust statistics in Python
  ☆67Updated 2 months ago
• alteryx / autonormalize
  python library for automated dataset normalization
  ☆116Updated 2 years ago
• mzjp2 / kedro-dataframe-dropin
  A Kedro plugin that provides pandas dropin replacements for the pandas datasets (e.g modin and cuDF)
  ☆12Updated 4 years ago
• dylan-profiler / visions
  Type System for Data Analysis in Python
  ☆213Updated 6 months ago