Alternatives and similar repositories for dss-plugin-model-drift

Users that are interested in dss-plugin-model-drift are comparing it to the libraries listed below

• alteryx / autonormalize
  python library for automated dataset normalization
  ☆117Updated 2 years ago
• facultyai / lens
  Summarise and explore Pandas DataFrames
  ☆98Updated 5 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 4 years ago
• jseabold / pandas-selectable
  A `select` accessor for easier subsetting of pandas DataFrames and Series
  ☆34Updated 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…
  ☆58Updated 4 years ago
• ml-tooling / lazycluster
  🎛 Distributed machine learning made simple.
  ☆49Updated 2 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• FlorianWilhelm / polars_vs_pandas
  Comparing Polars to Pandas and a small introduction
  ☆44Updated 4 years ago
• Florents-Tselai / pandas-sets
  Set-oriented Operations in Pandas
  ☆24Updated 5 years ago
• facultyai / ipydataclean
  Interactive cleaning for Pandas DataFrames
  ☆16Updated 6 years ago
• dexplo / dexplo
  Data exploration library with a pandas-like API
  ☆74Updated 5 years ago
• paypal / PPExtensions
  Set of iPython and Jupyter extensions to improve user experience
  ☆50Updated 6 years ago
• tkp-archive / knowledgelab
  KnowledgeRepo + JupyterLab
  ☆48Updated 2 weeks ago
• peopledoc / mlvtools
  Public repository for versioning machine learning data
  ☆42Updated 4 years ago
• facultyai / faculty
  A Python library for interacting with the Faculty platform
  ☆17Updated 6 months ago
• tamsanh / kedro-great
  The easiest way to integrate Kedro and Great Expectations
  ☆54Updated 3 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 3 years ago
• sosuneko / Nuance
  Visualization ideas for data science
  ☆21Updated 7 years ago
• tamsanh / kedro-wings
  Kedro Wings automatically creates catalog entries to simplify Kedro pipeline writing. See the video here: https://www.youtube.com/watch?v…
  ☆21Updated 3 years ago
• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 3 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
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• dedupeio / doublemetaphone
  Python wrapper for a C++ Double Metaphone
  ☆15Updated 3 weeks ago
• CamDavidsonPilon / lifestyles
  Work-In-Progress: conjoint analysis in Python
  ☆50Updated 7 years ago
• Minyus / Python_Packages_for_Pipeline_Workflow
  This article compares open-source Python packages for pipeline/workflow development: Airflow, Luigi, Gokart, Metaflow, Kedro, PipelineX.
  ☆56Updated 5 years ago
• omegaml / omegaml
  MLOps simplified. One-stop AI delivery platform, all the features you need.
  ☆106Updated last week
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 3 years ago
• d6t / d6tjoin
  Fuzzy joins for python pandas - easily join different datasets
  ☆59Updated 5 years ago
• choldgraf / nbreport
  ☆27Updated 6 years ago
• capitalone / rubicon-ml
  Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!
  ☆139Updated this week