soorgeon
Convert monolithic Jupyter notebooks 📙 into maintainable Ploomber pipelines. 📊 (by ploomber)
nbsnapshot
Automated Jupyter notebook testing. 📙 (by ploomber)
| soorgeon | nbsnapshot | |
|---|---|---|
| 3 | 3 | |
| 75 | 41 | |
| - | - | |
| 4.0 | 0.0 | |
| 4 months ago | 4 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
soorgeon
Posts with mentions or reviews of soorgeon.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-01.
-
Tips and Tricks to Use Jupyter Notebooks Effectively
If you're looking to improve your Jupyter workflow, check out Ploomber's open-source projects: Ploomber for developing modular data pipelines, Soorgeon for refactoring and cleaning), or nbsnapshot for notebook testing.
- Soorgeon - automated Jupyter notebook refactoring
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How to turn my data processing code into a pipeline?
If you're working with .py or .ipynb I recommend ploomber, there's lots of flexibility on the input/output formats and you can interactively check out your data and work with Git. There's also an automatic tool that converts it to a pipeline for you via the H2 headings.
nbsnapshot
Posts with mentions or reviews of nbsnapshot.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-01.
-
How to update many unit tests when a numeric model changes?
There's also a snapshot testing tool for notebooks if you're interested: https://github.com/ploomber/nbsnapshot
-
Tips and Tricks to Use Jupyter Notebooks Effectively
If you're looking to improve your Jupyter workflow, check out Ploomber's open-source projects: Ploomber for developing modular data pipelines, Soorgeon for refactoring and cleaning), or nbsnapshot for notebook testing.
-
nbsnapshot: Automated Jupyter notebook testing. 📙
Click here to see a diagram.
What are some alternatives?
When comparing soorgeon and nbsnapshot you can also consider the following projects:
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
mlrun - MLRun is an open source MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the delivery of production data, ML pipelines, and online applications.
feast - The Open Source Feature Store for Machine Learning
dagster - An orchestration platform for the development, production, and observation of data assets.