NathanEpstein / DoraLinks
Tools for exploratory data analysis in Python
☆645Updated last month
Alternatives and similar repositories for Dora
Users that are interested in Dora are comparing it to the libraries listed below
Sorting:
- A Python tool that automatically cleans data sets and readies them for analysis.☆1,071Updated 6 years ago
- A Pandas Styler class for making beautiful tables☆416Updated 2 years ago
- Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.☆519Updated 3 months ago
- A library for defensive data analysis.☆502Updated 5 years ago
- Create a dashboard with python!☆766Updated 6 years ago
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆490Updated 8 years ago
- a web application framework for python☆832Updated 3 years ago
- Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.☆468Updated 7 months ago
- Instant access to many datasets in Python.☆942Updated 3 years ago
- Easy pipelines for pandas DataFrames.☆719Updated 3 weeks ago
- Creating interactive visualizations with Python☆260Updated 2 years ago
- SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.☆558Updated 3 months ago
- D3 block magic for Jupyter notebook.☆453Updated 3 years ago
- Tools for test driven data-wrangling and data validation.☆295Updated 3 years ago
- Interactive plotting for Pandas using Vega-Lite☆344Updated 6 years ago
- A Python library for unevenly-spaced time series analysis☆548Updated 7 months ago
- Using Project Jupyter for data science.☆259Updated 4 years ago
- [RETIRED] See Voilà as a supported replacement☆978Updated 5 years ago
- Open-source Python library for statistical analysis of randomised control trials (A/B tests)☆343Updated 2 years ago
- Generate bootstrapped confidence intervals for A/B testing in Python.☆637Updated 5 years ago
- Observations from Ian on successfully delivering data science products☆542Updated 4 years ago
- Speedml is a Python package to speed start machine learning projects.☆211Updated 5 years ago
- Declarative statistical visualization library for Python☆237Updated 6 years ago
- pandas, scikit-learn, xgboost and seaborn integration☆319Updated 5 years ago
- dplyr for python☆765Updated 8 years ago
- Run IPython notebooks as command-line scripts, generate HTML reports☆452Updated 7 years ago
- Machine Learning toolbox for Humans☆697Updated last year
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆239Updated 6 years ago
- Magic functions for using Jupyter Notebook with Apache Spark and a variety of SQL databases.☆171Updated 6 years ago
- Use evolutionary algorithms instead of gridsearch in scikit-learn☆774Updated last year