databooks is a package to ease the collaboration between data scientists using Jupyter notebooks, by reducing the number of git conflicts between different notebooks and resolution of git conflicts when encountered.
The key features include:
CLI tool
Clear notebook metadata
Resolve git conflicts
Simple to use
Simple API for using modelling and comparing notebooks using Pydantic
What's the difference between this Python project and similar ones?
nb-clean: helps clear notebook metadata, but only that, so more limited in scope compared to databooks.
nbdime: helps with diffs and merges of notebooks, however, databooks supports a way to resolve existing conflicts, which is not supported by nbdime.
nbdev: nbdev provides an opinionated template for developing packages with notebooks, databooks is a configurable CLI tool that you can use in whatever way you prefer.
--
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/1949
**Author:** [@frederikdesmedt](https://github.com/frederikdesmedt)
**Created:** 2/15/2022
**Status:** 🔄 Open
**Base:** `master` ← **Head:** `master`
---
### 📝 Commits (1)
- [`4a1c7d6`](https://github.com/vinta/awesome-python/commit/4a1c7d66de13266508ddd6121e6849ee0439f79d) added databooks
### 📊 Changes
**1 file changed** (+11 additions, -8 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+11 -8)
</details>
### 📄 Description
## What is this Python project?
`databooks` is a package to ease the collaboration between data scientists using [Jupyter notebooks](https://jupyter.org/), by reducing the number of git conflicts between different notebooks and resolution of git conflicts when encountered.
The key features include:
- CLI tool
- Clear notebook metadata
- Resolve git conflicts
- Simple to use
- Simple API for using modelling and comparing notebooks using [Pydantic](https://pydantic-docs.helpmanual.io/)
## What's the difference between this Python project and similar ones?
- [nb-clean](https://github.com/srstevenson/nb-clean): helps clear notebook metadata, but only that, so more limited in scope compared to databooks.
- [nbdime](https://github.com/jupyter/nbdime): helps with diffs and merges of notebooks, however, databooks supports a way to resolve existing conflicts, which is not supported by nbdime.
- [nbdev](https://github.com/fastai/nbdev): nbdev provides an opinionated template for developing packages with notebooks, databooks is a configurable CLI tool that you can use in whatever way you prefer.
--
Anyone who agrees with this pull request could submit an *Approve* review to it.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
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📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/1949
Author: @frederikdesmedt
Created: 2/15/2022
Status: 🔄 Open
Base:
master← Head:master📝 Commits (1)
4a1c7d6added databooks📊 Changes
1 file changed (+11 additions, -8 deletions)
View changed files
📝
README.md(+11 -8)📄 Description
What is this Python project?
databooksis a package to ease the collaboration between data scientists using Jupyter notebooks, by reducing the number of git conflicts between different notebooks and resolution of git conflicts when encountered.The key features include:
What's the difference between this Python project and similar ones?
--
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.