Alternatives and similar repositories for dabl

Users that are interested in dabl 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
• taknev83 / pywedge
  Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking
  ☆55Updated 4 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 6 years ago
• drivendataorg / nbautoexport
  Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
  ☆83Updated 2 months ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 4 years ago
• sid-the-coder / QuickDA
  Simple & Easy-to-use python modules to perform Quick Exploratory Data Analysis for any structured dataset!
  ☆105Updated 2 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• chrispaulca / waterfall
  An easy to use waterfall chart function for Python
  ☆164Updated 4 years ago
• dexplo / jupyter_to_medium
  Python package for publishing Jupyter Notebooks as Medium blogposts
  ☆149Updated 2 years ago
• tgoldenberg / kedro-mlflow-example
  ☆44Updated 2 years ago
• MAIF / eurybia
  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
  ☆215Updated 3 weeks ago
• ersaurabhverma / autoplotter
  ☆152Updated 5 years ago
• Automunge / AutoMunge
  Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…
  ☆164Updated 4 months ago
• formlio / forml
  ForML - A development framework and MLOps platform for the lifecycle management of data science projects
  ☆106Updated 2 years ago
• CODAIT / text-extensions-for-pandas
  Natural language processing support for Pandas dataframes.
  ☆217Updated 9 months ago
• SylwiaOliwia2 / xgboost-AutoTune
  Wrap-up to automatically tune xgboost in Python.
  ☆80Updated 4 years ago
• firmai / datagene
  DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
  ☆206Updated 3 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
• AutoViML / deep_autoviml
  Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…
  ☆121Updated last year
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆167Updated last week
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆183Updated last year
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated last year
• dabl / dabl
  Data Analysis Baseline Library
  ☆727Updated 11 months ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years 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
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆151Updated last year
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆82Updated 3 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago