nbdime | Tools for diffing and merging of Jupyter notebooks

 by   jupyter Python Version: 7.0.1 License: Non-SPDX

kandi X-RAY | nbdime Summary

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.

            kandi-support 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 7 major release(s) in the last 6 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

            kandi-Quality Quality

              nbdime has 0 bugs and 0 code smells.

            kandi-Security 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.

            kandi-License 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.

            kandi-Reuse 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 Notebookdot img1Lines of Code : 5dot img1no licencesLicense : No License
            copy iconCopy
            $ 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 Notebookdot img2Lines of Code : 1dot img2License : Strong Copyleft (CC-BY-SA-4.0)
            copy iconCopy
            pip install nbdime

            Community Discussions


            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.



            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


            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)



            Answered 2021-Aug-04 at 05:11


            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



            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


            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.


            See the latest documentation at https://nbdime.readthedocs.io. See also description and discussion in the Jupyter Enhancement Proposal.
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
          • npm

            npm i nbdime

          • CLONE
          • HTTPS


          • CLI

            gh repo clone jupyter/nbdime

          • sshUrl


          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Explore Related Topics

            Consider Popular Python Libraries


            by public-apis


            by donnemartin


            by TheAlgorithms


            by jackfrued


            by ytdl-org

            Try Top Libraries by jupyter


            by jupyterPython


            by jupyterJupyter Notebook


            by jupyterPython


            by jupyterPython


            by jupyterPython