hackalog / easydataLinks
A flexible template for doing reproducible data science in Python.
β110Updated last year
Alternatives and similar repositories for easydata
Users that are interested in easydata are comparing it to the libraries listed below
Sorting:
- Up Your Bus Number: A Primer for Reproducible Data Scienceβ69Updated 6 years ago
- π« PyScaffold extension for data-science projectsβ159Updated last month
- Summarise and explore Pandas DataFramesβ98Updated 5 years ago
- Bulwark is a package for convenient property-based testing of pandas dataframes.β226Updated 5 years ago
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.β81Updated last year
- Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!β134Updated last week
- A web frontend for scheduling Jupyter notebook reportsβ253Updated 8 months ago
- Dockerized ML Cookiecutterβ75Updated 2 years ago
- A short tutorial for data scientists on how to write tests for code + data.β120Updated 4 years ago
- nbconflux converts Jupyter Notebooks to Atlassian Confluence pagesβ127Updated last year
- GitHub Action for testing notebooksβ151Updated 3 years ago
- Data exploration library with a pandas-like APIβ74Updated 5 years ago
- Test-Driven Data Analysis Functionsβ299Updated 2 weeks ago
- Primrose modeling framework for simple production modelsβ32Updated last year
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distrβ¦β121Updated 6 months ago
- The easy way to write your own flavor of Pandasβ307Updated last month
- a python grammar for evolutionary algorithms and heuristicsβ191Updated 3 years ago
- Start a data science project with modern toolsβ199Updated last year
- A library for recording and reading data in notebooks.β293Updated 3 years ago
- JupyterLab extension to create GitHub commits & pull requestsβ120Updated last year
- The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common funβ¦β215Updated 4 years ago
- Altair backend for pandas plottingβ104Updated 4 years ago
- Accelerate data scienceβ116Updated 4 years ago
- Unix commands for Jupyter notebooks.β234Updated 3 years ago
- python library for automated dataset normalizationβ116Updated 2 years ago
- A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystβ¦β150Updated last year
- Public repository for versioning machine learning dataβ42Updated 3 years ago
- JupyterHub extension for ContainDS Dashboardsβ201Updated 11 months ago
- An abstraction layer for parameter tuningβ35Updated 11 months ago
- A toolbox π§° for Jupyter notebooks π: testing, experiment tracking, debugging, profiling, and more!β67Updated 10 months ago