simhash-py | Simhash and near-duplicate detection | Machine Learning library

 by   seomoz Python Version: 0.4.0 License: MIT

kandi X-RAY | simhash-py Summary

kandi X-RAY | simhash-py Summary

simhash-py is a Python library typically used in Artificial Intelligence, Machine Learning applications. simhash-py 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 simhash-py' or download it from GitHub, PyPI.

![Status: Production] ![Team: Big Data] ![Scope: External] ![Open Source: MIT] ![Critical: Yes] This library enables the efficient identification of near-duplicate documents using simhash using a C++ extension.
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            kandi-support Support

              simhash-py has a low active ecosystem.
              It has 361 star(s) with 107 fork(s). There are 116 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 8 open issues and 17 have been closed. On average issues are closed in 185 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of simhash-py is 0.4.0

            kandi-Quality Quality

              simhash-py has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              simhash-py 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

              simhash-py 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 are not available. Examples and code snippets are available.
              simhash-py saves you 107 person hours of effort in developing the same functionality from scratch.
              It has 271 lines of code, 19 functions and 4 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed simhash-py and discovered the below as its top functions. This is intended to give you an instant insight into simhash-py implemented functionality, and help decide if they suit your requirements.
            • Shuffle a list of tokens .
            • Exit .
            • Start the timer .
            • Set the name of the class .
            Get all kandi verified functions for this library.

            simhash-py Key Features

            No Key Features are available at this moment for simhash-py.

            simhash-py Examples and Code Snippets

            No Code Snippets are available at this moment for simhash-py.

            Community Discussions

            QUESTION

            python simhash import issue [github.com/seomoz/simhash-py]
            Asked 2017-Oct-08 at 18:15

            I've installed simhash using below command

            ...

            ANSWER

            Answered 2017-Sep-16 at 14:46

            I've installed it via an another method.

            Source https://stackoverflow.com/questions/46253804

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

            Vulnerabilities

            No vulnerabilities reported

            Install simhash-py

            You can install using 'pip install simhash-py' or download it from GitHub, PyPI.
            You can use simhash-py 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 simhash-py

          • CLONE
          • HTTPS

            https://github.com/seomoz/simhash-py.git

          • CLI

            gh repo clone seomoz/simhash-py

          • sshUrl

            git@github.com:seomoz/simhash-py.git

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