drivendataorg / nbautoexportLinks
Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.
☆84Updated 4 months ago
Alternatives and similar repositories for nbautoexport
Users that are interested in nbautoexport are comparing it to the libraries listed below
Sorting:
- A flexible template for doing reproducible data science in Python.☆111Updated last year
- Data Analysis Baseline Library☆133Updated last year
- Start a data science project with modern tools☆204Updated 2 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆86Updated 2 years ago
- a python grammar for evolutionary algorithms and heuristics☆192Updated 3 years ago
- The easiest way to integrate Kedro and Great Expectations☆54Updated 3 years ago
- DataFrame support for scikit-learn.☆63Updated 4 months ago
- Bulwark is a package for convenient property-based testing of pandas dataframes.☆226Updated 5 years ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.☆118Updated last year
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆215Updated 2 months ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 4 years ago
- Phi_K correlation analyzer library☆172Updated 3 weeks ago
- scikit-learn-inspired time series☆201Updated last year
- An abstraction layer for parameter tuning☆35Updated last month
- Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!☆139Updated last week
- Decorators that logs stats.☆115Updated 10 months ago
- SciKIt-learn Pipeline in PAndas☆42Updated 2 years ago
- Test-Driven Data Analysis Functions☆303Updated last week
- sidetable builds simple but useful summary tables of your data☆392Updated 3 years ago
- 💫 PyScaffold extension for data-science projects☆160Updated 2 weeks ago
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆56Updated 7 months ago
- Kedro-Accelerator speeds up pipelines by parallelizing I/O in the background.☆36Updated 3 years ago
- A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…☆150Updated last year
- The easy way to write your own flavor of Pandas☆312Updated 2 months ago
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆510Updated 3 weeks ago
- Reference package for unit tests☆49Updated 7 years ago
- The goal of pandas-log is to provide feedback about basic pandas operations. It provides simple wrapper functions for the most common fun…☆218Updated 4 years ago
- Sample projects using Ploomber.☆86Updated 2 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆184Updated last year
- Summarise and explore Pandas DataFrames☆98Updated 5 years ago