shoppe | complete Rails engine providing e-commerce functionality

 by   tryshoppe Ruby Version: Current License: MIT

kandi X-RAY | shoppe Summary

kandi X-RAY | shoppe Summary

shoppe is a Ruby library typically used in Apps, Ruby On Rails applications. shoppe has no vulnerabilities, it has a Permissive License and it has medium support. However shoppe has 4 bugs. You can download it from GitHub.

Shoppe is an Rails-based e-commerce platform which allows you to easily introduce a catalogue-based store into your Rails 4 applications.
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    Quality
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            kandi-support Support

              shoppe has a medium active ecosystem.
              It has 840 star(s) with 312 fork(s). There are 55 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 57 open issues and 246 have been closed. On average issues are closed in 398 days. There are 8 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of shoppe is current.

            kandi-Quality Quality

              shoppe has 4 bugs (0 blocker, 0 critical, 4 major, 0 minor) and 27 code smells.

            kandi-Security Security

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

            kandi-License License

              shoppe 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

              shoppe releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.
              shoppe saves you 2634 person hours of effort in developing the same functionality from scratch.
              It has 5716 lines of code, 334 functions and 151 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of shoppe
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            shoppe Key Features

            No Key Features are available at this moment for shoppe.

            shoppe Examples and Code Snippets

            No Code Snippets are available at this moment for shoppe.

            Community Discussions

            QUESTION

            Collectors.groupingBy giving java.lang.ArrayIndexOutOfBoundsException
            Asked 2021-Jan-05 at 12:50

            I want to group by a multiple fields of a collection

            based on entityname, jurisdiction, source group the values and stored in a list I am expecting out put like [A PACIFIC TRADING POST & LOGO SHOPPE,United States,Hawaii Business Express]=[Alternative_names:A PACIFIC TRADING POST & LOGO SHOPPE (& DESIGN OF OCEAN WITHSUN, SAILBOAT, CLOUDS, 2 ISLANDS, BANNER OVER A CIRCULAR BAND, 2 PALM TREES, 2 FLOWERS AT BASE OF ONE TREE), Identifiers.Other_company_id_number:25510 G5, Identifiers.Name:A PACIFIC TRADING POST & LOGO SHOPPE, status:Inv. Cancelled, Address.Full_address:140 N KALAHEO AVE STE BKAILUA, Hawaii 96734, UNITED STATES, Address.country:United States]

            ...

            ANSWER

            Answered 2021-Jan-04 at 19:19

            If you expect exactly 3 elements after splitting by ':', you may want to use filter before collecting:

            Source https://stackoverflow.com/questions/65567880

            QUESTION

            Grouping by date in pandas keeping the date column
            Asked 2020-Jan-09 at 16:02

            I'd like to calculate % of stocks above rolling mean, therefore, I need to group the data by 'Date' and want to keep the 'Date' column. Percentages are calculated correctly, however, instead of actual dates I'm getting 'NaN' values. The 'Date' column is not the data frame index.

            ...

            ANSWER

            Answered 2020-Jan-09 at 16:02

            You have to remove the 'Date' from the [ ], you are already grouping by it. And don't drop the index, Date is your new index in your returning dataframe and you want to keep it

            Source https://stackoverflow.com/questions/59667221

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

            Vulnerabilities

            No vulnerabilities reported

            Install shoppe

            Shoppe provides the core framework for the store and you're responsible for creating the storefront which your customers will use to purchase products. In addition to creating the UI for the frontend, you are also responsible for integrating with whatever payment gateway takes your fancy.

            Support

            If you'd like to help with this project, please get in touch with me. The best place is on Twitter (@adamcooke) or by e-mail to adam@atechmedia.com.
            Find more information at:

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            CLONE
          • HTTPS

            https://github.com/tryshoppe/shoppe.git

          • CLI

            gh repo clone tryshoppe/shoppe

          • sshUrl

            git@github.com:tryshoppe/shoppe.git

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