Rant: Jupyter notebooks are trash.

• ipyflow

  20 1,079 9.5 Python

  A reactive Python kernel for Jupyter notebooks.

  

I've been trying to make it easier to iterate on notebooks and go from notebook -> finished product with https://github.com/ipyflow/ipyflow. On the iteration side, it supports things like execution suggestions and reactivity to keep your execution state in sync with the code in your cells. On the "productionization" side, there's a code function which can be used to retrieve all the code necessary for computing some symbol.

• nbdev

  45 4,744 6.5 Jupyter Notebook

  Create delightful software with Jupyter Notebooks

  

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• ploomber

  121 3,380 7.4 Python

  The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

  

Develop notebook-based pipelines

• jupytext

  20 6,425 8.8 Python

  Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

Automatically convert ipynb files to py when saving them on JupyterLab

• lineapy

  7 656 2.0 Jupyter Notebook

  Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.

  

There are a few projects that can help close this gap between notebook prototype -> production. One of them is ipyflow (https://github.com/ipyflow/ipyflow), another is lineapy (https://github.com/linealabs/lineapy).

• SaaSHub

  www.saashub.com featured

  SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

  

Suggest a related project