nbdime | Tools for diffing and merging of Jupyter notebooks

by jupyter Python Version: 7.0.1 License: Non-SPDX

X-Ray Key Features Code Snippets(2)Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | nbdime Summary

nbdime is a Python library typically used in Utilities, Jupyter applications. nbdime has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However nbdime has a Non-SPDX License. You can install using 'pip install nbdime' or download it from GitHub, PyPI.

Installation | Documentation | Contributing | Development Install | Testing | License | Getting help. nbdime provides tools for diffing and merging of Jupyter Notebooks.

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Quality

Security

License

Reuse

Support

nbdime has a medium active ecosystem.

It has 2457 star(s) with 161 fork(s). There are 46 watchers for this library.

There were 3 major release(s) in the last 12 months.

There are 65 open issues and 237 have been closed. On average issues are closed in 175 days. There are 12 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of nbdime is 7.0.1

Quality

nbdime has 0 bugs and 0 code smells.

Security

nbdime has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

nbdime code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

nbdime has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

nbdime releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

nbdime saves you 6435 person hours of effort in developing the same functionality from scratch.

It has 13294 lines of code, 863 functions and 194 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed nbdime and discovered the below as its top functions. This is intended to give you an instant insight into nbdime implemented functionality, and help decide if they suit your requirements.

Install npm dependencies
Check if two files are stale
Get the mtime of a directory
Compares the mtime of all files recursively
Build the arg parser
Arguments for the diff command
Add merge options to an argparse parser
Adds a git config subparser to subparsers
Compare two outputs
Compares the mimetype of the given mimetype
Compares two MIME bundles
Compare two strings
Perform a diff between documents
Apply filter to git path
Create a WSGI application
Apply a git filter
Diff two outputs
Add merge arguments to the given parser
Compare two cells
Collect the unresolved conflicts
Adds git config subcommand to subparsers
Wraps a list of commands
Enable git attributes
Diff two attachments
Build argument parser
Add command line options to the given parser
Generate diff between two notebooks
Run a patch
Create a command class
Merge two files

Get all kandi verified functions for this library.

nbdime Key Features

No Key Features are available at this moment for nbdime.

nbdime Examples and Code Snippets

Lectures in Scientific Computing in Python,Contributing

Jupyter Notebook

Lines of Code : 5

License : No License

Copy

$ env RUNALL=1 jupyter nbconvert --execute --allow-errors --inplace lecture.ipynb

$ export RUNALL=1 jupyter nbconvert --execute --allow-errors --inplace lecture.ipynb

c.JupyterLabRmotrSolutions.role = "teacher"

pip install nbdime
nbdime config-git

AddisCoder Course Notes,Contribute

Jupyter Notebook

Lines of Code : 1

License : Strong Copyleft (CC-BY-SA-4.0)

Copy

pip install nbdime

Community Discussions

Trending Discussions on nbdime

Don't start JupyterLab if configuration is invalid

mamba fails to create env

AttributeError: module 'tensorflow' has no attribute 'compat' when loading tf.compat.v1.train.SessionRunHook

QUESTION

Don't start JupyterLab if configuration is invalid

Asked 2022-Feb-04 at 00:48

When JupyterLab tries to start, in some occasions, the config file may be invalid, and Jupyterlab starts regardless in default port 8888.

Currently I have a JupyterLab service defined as follows, but I also try to start it manually and got the same results. An example when config file may be invalid is when a library is not available to be imported. I want to prevent Jupyter to start and fail gracefully.

...

ANSWER

Answered 2022-Feb-04 at 00:48

You can enforce failure on configuration errors by configuring environment variable TRAITLETS_APPLICATION_RAISE_CONFIG_FILE_ERROR to 1 or true (see docs); on Linux this can be done by prepending the startup command like so:

Source https://stackoverflow.com/questions/70952321

QUESTION

mamba fails to create env

Asked 2021-Aug-04 at 05:11

I had just installed Anaconda from anaconda.com. The installation proceeded smoothly. After that, I was trying to create a new environment from this environment.yml file. (nbdev.yml)

...

ANSWER

Answered 2021-Aug-04 at 05:11

After a lot of research, I stumbled on to Mamba doesn't find a solution when mixing conda forge defaults and not specifying Python explicitly 1102. So I just edited nbdev.yml from

Source https://stackoverflow.com/questions/68645697

QUESTION

AttributeError: module 'tensorflow' has no attribute 'compat' when loading tf.compat.v1.train.SessionRunHook

Asked 2020-Dec-11 at 19:55

I can see that this question has been asked before here tensorflow-has-no-attribute-compat

but the answer given was to

...

ANSWER

Answered 2020-Jul-05 at 13:44

This is usually caused by the broken TensorFlow-estimator module.

simply do a

Source https://stackoverflow.com/questions/62622704

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install nbdime

Install nbdime with pip:. See the installation docs for more installation details and development installation instructions.
To install a development version of nbdime, you will need npm installed and available on your PATH while installing.