nbdiff | A diffing and merging tool for the IPython Notebook | Data Manipulation library

 by   tarmstrong Python Version: 1.0.3 License: MIT

kandi X-RAY | nbdiff Summary

kandi X-RAY | nbdiff Summary

nbdiff is a Python library typically used in Utilities, Data Manipulation, Numpy, Jupyter, Pandas applications. nbdiff has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install nbdiff' or download it from GitHub, PyPI.

A diffing and merging tool for the IPython Notebook.
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            kandi-support Support

              nbdiff has a low active ecosystem.
              It has 210 star(s) with 29 fork(s). There are 13 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 20 open issues and 68 have been closed. On average issues are closed in 35 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of nbdiff is 1.0.3

            kandi-Quality Quality

              nbdiff has 0 bugs and 0 code smells.

            kandi-Security Security

              nbdiff has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              nbdiff code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              nbdiff is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              nbdiff releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              nbdiff saves you 5643 person hours of effort in developing the same functionality from scratch.
              It has 11810 lines of code, 211 functions and 98 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed nbdiff and discovered the below as its top functions. This is intended to give you an instant insight into nbdiff implemented functionality, and help decide if they suit your requirements.
            • Redirect the given command
            • Get a class by name
            • Run a command
            • Generate a new code cell
            • Sends a static file to disk
            • Make a notebook request
            • Generate a comparison URL
            • Start upload
            Get all kandi verified functions for this library.

            nbdiff Key Features

            No Key Features are available at this moment for nbdiff.

            nbdiff Examples and Code Snippets

            No Code Snippets are available at this moment for nbdiff.

            Community Discussions

            QUESTION

            How to make a diff using nbdiff-web of a Jupyter notebook stored on git?
            Asked 2018-Aug-12 at 04:46

            Is there a simple way to make a diff of the latest version of the Jupyter notebook with its previous version using the nbdime tool's nbdiff-web command.

            http://nbdime.readthedocs.io/en/latest/cli.html#nbdiff-web

            ...

            ANSWER

            Answered 2018-Jan-19 at 02:52

            Surely you can use this extension to achieve the same with ease.

            It has version control integration with git.

            Source https://stackoverflow.com/questions/47742900

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

            Vulnerabilities

            No vulnerabilities reported

            Install nbdiff

            You can install using 'pip install nbdiff' or download it from GitHub, PyPI.
            You can use nbdiff like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install nbdiff

          • CLONE
          • HTTPS

            https://github.com/tarmstrong/nbdiff.git

          • CLI

            gh repo clone tarmstrong/nbdiff

          • sshUrl

            git@github.com:tarmstrong/nbdiff.git

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