Convert monolithic Jupyter notebooks into Ploomber pipelines.

Overview

Soorgeon

Join our community | Newsletter | Contact us | Blog | Website | YouTube

header

Convert monolithic Jupyter notebooks into Ploomber pipelines.

soorgeon.mp4

3-minute video tutorial.

Try the interactive demo:

Open JupyerLab

Note: Soorgeon is in alpha, help us make it better.

Install

pip install soorgeon

Usage

# refactor notebook
soorgeon refactor nb.ipynb

# all variables with the df prefix are stored in csv files
soorgeon refactor nb.ipynb --df-format csv
# all variables with the df prefix are stored in parquet files
soorgeon refactor nb.ipynb --df-format parquet

# store task output in 'some-directory' (if missing, this defaults to 'output')
soorgeon refactor nb.ipynb --product-prefix some-directory

# generate tasks in .py format
soorgeon refactor nb.ipynb --file-format py

To learn more, check out our guide.

Examples

git clone https://github.com/ploomber/soorgeon

Exploratory daya analysis notebook:

cd examples/exploratory
soorgeon refactor nb.ipynb

# to run the pipeline
pip install -r requirements.txt
ploomber build

Machine learning notebook:

cd examples/machine-learning
soorgeon refactor nb.ipynb

# to run the pipeline
pip install -r requirements.txt
ploomber build

To learn more, check out our guide.

Community

Owner
Ploomber
We develop tools to streamline the development to production Data Science workflow.
Ploomber
Transform-Invariant Non-Negative Matrix Factorization

Transform-Invariant Non-Negative Matrix Factorization A comprehensive Python package for Non-Negative Matrix Factorization (NMF) with a focus on learn

EMD Group 6 Jul 01, 2022
[CVPR2022] This repository contains code for the paper "Nested Collaborative Learning for Long-Tailed Visual Recognition", published at CVPR 2022

Nested Collaborative Learning for Long-Tailed Visual Recognition This repository is the official PyTorch implementation of the paper in CVPR 2022: Nes

Jun Li 65 Dec 09, 2022
Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code

Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tuplex has similar Python APIs to Apache Spark or Dask, but rather

Tuplex 791 Jan 04, 2023
Package for decomposing EMG signals into motor unit firings, as used in Formento et al 2021.

EMGDecomp Package for decomposing EMG signals into motor unit firings, created for Formento et al 2021. Based heavily on Negro et al, 2016. Supports G

13 Nov 01, 2022
Exploratory Data Analysis for Employee Retention Dataset

Exploratory Data Analysis for Employee Retention Dataset Employee turn-over is a very costly problem for companies. The cost of replacing an employee

kana sudheer reddy 2 Oct 01, 2021
An Indexer that works out-of-the-box when you have less than 100K stored Documents

U100KIndexer An Indexer that works out-of-the-box when you have less than 100K stored Documents. U100K means under 100K. At 100K stored Documents with

Jina AI 7 Mar 15, 2022
MidTerm Project for the Data Analysis FT Bootcamp, Adam Tycner and Florent ZAHOUI

MidTerm Project for the Data Analysis FT Bootcamp, Adam Tycner and Florent ZAHOUI Hallo

Florent Zahoui 1 Feb 07, 2022
Used for data processing in machine learning, and help us to construct ML model more easily from scratch

Used for data processing in machine learning, and help us to construct ML model more easily from scratch. Can be used in linear model, logistic regression model, and decision tree.

ShawnWang 0 Jul 05, 2022
Unsub is a collection analysis tool that assists libraries in analyzing their journal subscriptions.

About Unsub is a collection analysis tool that assists libraries in analyzing their journal subscriptions. The tool provides rich data and a summary g

9 Nov 16, 2022
Tkinter Izhikevich Neuron Model With Python

TKINTER IZHIKEVICH NEURON MODEL WITH PYTHON Hodgkin-Huxley Model It is a mathematical model for the generation and transmission of action potentials i

Rabia KOÇ 8 Jul 16, 2022
Pandas and Dask test helper methods with beautiful error messages.

beavis Pandas and Dask test helper methods with beautiful error messages. test helpers These test helper methods are meant to be used in test suites.

Matthew Powers 18 Nov 28, 2022
Py-price-monitoring - A Python price monitor

A Python price monitor This project was focused on Brazil, so the monitoring is

Samuel 1 Jan 04, 2022
Fitting thermodynamic models with pycalphad

ESPEI ESPEI, or Extensible Self-optimizing Phase Equilibria Infrastructure, is a tool for thermodynamic database development within the CALPHAD method

Phases Research Lab 42 Sep 12, 2022
Analysiscsv.py for extracting analysis and exporting as CSV

wcc_analysis Lichess page documentation: https://lichess.org/page/world-championships Each WCC has a study, studies are fetched using: https://lichess

32 Apr 25, 2022
Fancy data functions that will make your life as a data scientist easier.

WhiteBox Utilities Toolkit: Tools to make your life easier Fancy data functions that will make your life as a data scientist easier. Installing To ins

WhiteBox 3 Oct 03, 2022
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains

Open-Domain Question-Answering for COVID-19 and Other Emergent Domains This repository contains the source code for an end-to-end open-domain question

7 Sep 27, 2022
Learn machine learning the fun way, with Oracle and RedBull Racing

Red Bull Racing Analytics Hands-On Labs Introduction Are you interested in learning machine learning (ML)? How about doing this in the context of the

Oracle DevRel 55 Oct 24, 2022
Intake is a lightweight package for finding, investigating, loading and disseminating data.

Intake: A general interface for loading data Intake is a lightweight set of tools for loading and sharing data in data science projects. Intake helps

Intake 851 Jan 01, 2023
Anomaly Detection with R

AnomalyDetection R package AnomalyDetection is an open-source R package to detect anomalies which is robust, from a statistical standpoint, in the pre

Twitter 3.5k Dec 27, 2022
Single machine, multiple cards training; mix-precision training; DALI data loader.

Template Script Category Description Category script comparison script train.py, loader.py for single-machine-multiple-cards training train_DP.py, tra

2 Jun 27, 2022