A library for defensive data analysis.
☆501Jan 6, 2020Updated 6 years ago
Alternatives and similar repositories for engarde
Users that are interested in engarde are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Another library for defensive data analysis.☆29Nov 12, 2018Updated 7 years ago
- Bulwark is a package for convenient property-based testing of pandas dataframes.☆228Jun 12, 2020Updated 5 years ago
- Write reproducible reports in Markdown☆440Dec 21, 2018Updated 7 years ago
- A Pandas Styler class for making beautiful tables☆413Jan 8, 2023Updated 3 years ago
- Feather: fast, interoperable binary data frame storage for Python, R, and more powered by Apache Arrow☆2,757Dec 8, 2025Updated 6 months ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Common post-estimation tasks for scikit-learn☆17Nov 30, 2016Updated 9 years ago
- Open source time series library for Python☆2,142Oct 24, 2023Updated 2 years ago
- Source code for my collection of articles on using pandas.☆1,565Dec 14, 2022Updated 3 years ago
- A Python tool that automatically cleans data sets and readies them for analysis.☆1,083May 22, 2019Updated 7 years ago
- Test-Driven Data Analysis Functions☆302Updated this week
- Tools for test driven data-wrangling and data validation.☆295Dec 5, 2021Updated 4 years ago
- Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.☆468Feb 27, 2025Updated last year
- A domain-general, Bayesian method for analyzing high-dimensional data tables☆328Feb 22, 2024Updated 2 years ago
- Interactive plotting for Pandas using Vega-Lite☆343Mar 29, 2019Updated 7 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Missing data visualization module for Python.☆4,205May 14, 2024Updated 2 years ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,400Feb 19, 2025Updated last year
- A command line utility to create kernels in Jupyter from virtual environments.☆16Nov 7, 2017Updated 8 years ago
- dask-searchcv is now part of dask-ml: https://github.com/dask/dask-ml☆241Oct 13, 2018Updated 7 years ago
- pdftables☆17Aug 21, 2017Updated 8 years ago
- Conventionally parameterized probability distributions☆35Sep 17, 2024Updated last year
- Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models☆490Aug 11, 2017Updated 8 years ago
- Plotting library for IPython/Jupyter notebooks☆3,691May 7, 2026Updated last month
- Observations from Ian on successfully delivering data science products☆544Jun 2, 2021Updated 5 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Data Migration for the Blaze Project☆1,006Jul 15, 2022Updated 3 years ago
- Tools for diffing and merging of Jupyter notebooks.☆2,833May 13, 2026Updated 3 weeks ago
- Declarative visualization library for Python☆10,405Updated this week
- A probabilistic programming language in TensorFlow. Deep generative models, variational inference.☆4,841Mar 18, 2024Updated 2 years ago
- Run and time jupyter notebooks☆12Aug 14, 2023Updated 2 years ago
- An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks☆3,085Jan 12, 2024Updated 2 years ago
- The property-based testing library for Python☆8,671Updated this week
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,047Sep 11, 2025Updated 8 months ago
- Clean APIs for data cleaning. Python implementation of R package Janitor☆1,496Updated this week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- An intuitive library to add plotting functionality to scikit-learn objects.☆2,435Aug 20, 2024Updated last year
- An IPython magic extension for printing date and time stamps, version numbers, and hardware information☆942Dec 21, 2025Updated 5 months ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,826Feb 23, 2024Updated 2 years ago
- Describing statistical models in Python using symbolic formulas☆982Jun 1, 2026Updated last week
- Featherweight web API provider for serving R&D methods as web functions☆66Jun 15, 2016Updated 9 years ago
- Effortless method to record provenance in Python☆436Jan 12, 2022Updated 4 years ago
- next generation slides for Jupyter Notebooks☆168Apr 17, 2024Updated 2 years ago