ploomber / nbsnapshotLinks
Automated Jupyter notebook testing. π
β41Updated last year
Alternatives and similar repositories for nbsnapshot
Users that are interested in nbsnapshot are comparing it to the libraries listed below
Sorting:
- Convert monolithic Jupyter notebooks π into maintainable Ploomber pipelines. πβ79Updated 10 months ago
- Comparing Polars to Pandas and a small introductionβ44Updated 4 years ago
- βοΈ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.β45Updated 4 months ago
- β29Updated last year
- A powerful data analysis package based on mathematical step functions. Strongly aligned with pandas.β61Updated 6 months ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAMβ84Updated last year
- captures logs and makes cron more funβ78Updated 10 months ago
- A small python library that can clump lists of data together.β150Updated 3 years ago
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.β81Updated last year
- A toolbox π§° for Jupyter notebooks π: testing, experiment tracking, debugging, profiling, and more!β67Updated 10 months ago
- SciKIt-learn Pipeline in PAndasβ42Updated last year
- Decorators that logs stats.β113Updated 4 months ago
- JupyterLab extension to create GitHub commits & pull requestsβ120Updated last year
- The easiest way to integrate Kedro and Great Expectationsβ53Updated 2 years ago
- A plugin for Flake8 that checks pandas codeβ170Updated last year
- Pipeline components that support partial_fit.β46Updated last year
- An Python object protocol for projects to interchange data frame-like data without forcing pandas.DataFrame as the intermediaryβ15Updated 5 years ago
- Viewer for Altair and Vega-Lite visualizationsβ81Updated last year
- Cloud-agnostic Python APIβ60Updated last year
- Function decorators for Pandas Dataframe column name and data type validationβ18Updated last month
- Kedro-Accelerator speeds up pipelines by parallelizing I/O in the background.β35Updated 3 years ago
- Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withouβ¦β113Updated last year
- Woodwork is a Python library that provides robust methods for managing and communicating data typing information.β154Updated 2 weeks ago
- Tutorial for implementing data validation in data science pipelinesβ33Updated 3 years ago
- Runnableβ40Updated 2 weeks ago
- Data exploration library with a pandas-like APIβ74Updated 5 years ago
- Interactive cleaning for Pandas DataFramesβ15Updated 5 years ago
- It's a cooler way to store simple linear models.β27Updated last year
- The Awesome Panel CLI makes it super simple to develop high-quality data apps with Panel πͺβ20Updated 2 years ago
- kedro plugin to automatically construct pipelines using pytest style pattern matchingβ22Updated 2 years ago