Alternatives and similar repositories for rubicon-ml

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

• ibis-project / ibis-ml
  IbisML is a library for building scalable ML pipelines using Ibis.
  ☆113Updated last week
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆84Updated last year
• getindata / kedro-kubeflow
  Kedro Plugin to support running workflows on Kubeflow Pipelines
  ☆54Updated last month
• alteryx / woodwork
  Woodwork is a Python library that provides robust methods for managing and communicating data typing information.
  ☆155Updated 2 weeks ago
• BCG-X-Official / sklearndf
  DataFrame support for scikit-learn.
  ☆63Updated last week
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆35Updated 11 months ago
• deepyaman / kedro-accelerator
  Kedro-Accelerator speeds up pipelines by parallelizing I/O in the background.
  ☆35Updated 3 years ago
• ww-tech / primrose
  Primrose modeling framework for simple production models
  ☆32Updated last year
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆81Updated last year
• hackalog / easydata
  A flexible template for doing reproducible data science in Python.
  ☆110Updated last year
• ploomber / ploomber-engine
  A toolbox 🧰 for Jupyter notebooks 📙: testing, experiment tracking, debugging, profiling, and more!
  ☆67Updated 10 months ago
• dask / dask-cloudprovider
  Cloud provider cluster managers for Dask. Supports AWS, Google Cloud Azure and more...
  ☆143Updated 3 weeks ago
• azukds / tubular
  Python package implementing transformers for pre processing steps for machine learning.
  ☆62Updated this week
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆107Updated 2 years ago
• Quantco / datajudge
  Assessing whether data from database complies with reference information.
  ☆43Updated last week
• pyscaffold / pyscaffoldext-dsproject
  💫 PyScaffold extension for data-science projects
  ☆159Updated last month
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆90Updated 11 months ago
• dask-contrib / dask-snowflake
  Dask integration for Snowflake
  ☆30Updated last week
• Alcampopiano / hypothesize
  Robust statistics in Python
  ☆67Updated last month
• ZaxR / bulwark
  Bulwark is a package for convenient property-based testing of pandas dataframes.
  ☆226Updated 5 years ago
• NatanMish / data_validation
  Tutorial for implementing data validation in data science pipelines
  ☆33Updated 3 years ago
• tamsanh / kedro-great
  The easiest way to integrate Kedro and Great Expectations
  ☆53Updated 2 years ago
• facultyai / lens
  Summarise and explore Pandas DataFrames
  ☆98Updated 5 years ago
• treebeardtech / nbmake-action
  GitHub Action for testing notebooks
  ☆151Updated 3 years 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
• 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
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆32Updated 8 months ago
• dylan-profiler / visions
  Type System for Data Analysis in Python
  ☆213Updated 6 months ago
• alteryx / autonormalize
  python library for automated dataset normalization
  ☆116Updated 2 years ago
• xhochy / fletcher
  Pandas ExtensionDType/Array backed by Apache Arrow
  ☆231Updated 2 years ago