jd_analysis | 京东商城评价信息数据分析。查看示例:http

 by   awolfly9 Python Version: Current License: LGPL-3.0

kandi X-RAY | jd_analysis Summary

kandi X-RAY | jd_analysis Summary

jd_analysis is a Python library. jd_analysis has no vulnerabilities, it has a Weak Copyleft License and it has low support. However jd_analysis has 1 bugs and it build file is not available. You can download it from GitHub.

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            kandi-support Support

              jd_analysis has a low active ecosystem.
              It has 255 star(s) with 88 fork(s). There are 18 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 3 have been closed. On average issues are closed in 78 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of jd_analysis is current.

            kandi-Quality Quality

              jd_analysis has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 40 code smells.

            kandi-Security Security

              jd_analysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              jd_analysis code analysis shows 0 unresolved vulnerabilities.
              There are 23 security hotspots that need review.

            kandi-License License

              jd_analysis is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

              jd_analysis releases are not available. You will need to build from source code and install.
              jd_analysis has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              jd_analysis saves you 3853 person hours of effort in developing the same functionality from scratch.
              It has 8211 lines of code, 122 functions and 70 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            jd_analysis Key Features

            No Key Features are available at this moment for jd_analysis.

            jd_analysis Examples and Code Snippets

            No Code Snippets are available at this moment for jd_analysis.

            Community Discussions

            No Community Discussions are available at this moment for jd_analysis.Refer to stack overflow page for discussions.

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

            Vulnerabilities

            No vulnerabilities reported

            Install jd_analysis

            You can download it from GitHub.
            You can use jd_analysis 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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            CLONE
          • HTTPS

            https://github.com/awolfly9/jd_analysis.git

          • CLI

            gh repo clone awolfly9/jd_analysis

          • sshUrl

            git@github.com:awolfly9/jd_analysis.git

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