kotori | A flexible data historian based on InfluxDB Grafana | Dashboard library

 by   daq-tools Python Version: 0.27.0 License: AGPL-3.0

kandi X-RAY | kotori Summary

kandi X-RAY | kotori Summary

kotori is a Python library typically used in Analytics, Dashboard, Kafka, Grafana applications. kotori has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install kotori' or download it from GitHub, PyPI.

A flexible data historian based on InfluxDB, Grafana, MQTT, and more. Free, open, simple.
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            kandi-support Support

              kotori has a low active ecosystem.
              It has 89 star(s) with 14 fork(s). There are 10 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 42 open issues and 29 have been closed. On average issues are closed in 126 days. There are 12 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of kotori is 0.27.0

            kandi-Quality Quality

              kotori has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              kotori is licensed under the AGPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              kotori releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed kotori and discovered the below as its top functions. This is intended to give you an instant insight into kotori implemented functionality, and help decide if they suit your requirements.
            • Render the dataframe .
            • Builds the parser .
            • Render transformation data .
            • Fetch data from a bucket .
            • Format a single data chunk .
            • Send data to a bucket .
            • Tamed dashboard refresh interval
            • Return decoded message from given topic and payload .
            • main entry point
            • Return the struct class for the given type and name .
            Get all kandi verified functions for this library.

            kotori Key Features

            No Key Features are available at this moment for kotori.

            kotori Examples and Code Snippets

            No Code Snippets are available at this moment for kotori.

            Community Discussions

            QUESTION

            Rollback entire transaction within nested transaction
            Asked 2019-Dec-18 at 21:09

            I want a nested transaction to fail the parent transaction.

            Lets say I have the following model

            ...

            ANSWER

            Answered 2019-Dec-18 at 21:09

            You can make sure the transactions are not joinable

            Source https://stackoverflow.com/questions/59399258

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

            Vulnerabilities

            No vulnerabilities reported

            Install kotori

            You can install using 'pip install kotori' or download it from GitHub, PyPI.
            You can use kotori 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 .
            Find more information at:

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            Install
          • PyPI

            pip install kotori

          • CLONE
          • HTTPS

            https://github.com/daq-tools/kotori.git

          • CLI

            gh repo clone daq-tools/kotori

          • sshUrl

            git@github.com:daq-tools/kotori.git

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