go-timeseries | Golang Timeseries Data Bucket | Cloud Storage library

 by   sangwonl Go Version: Current License: MIT

kandi X-RAY | go-timeseries Summary

kandi X-RAY | go-timeseries Summary

go-timeseries is a Go library typically used in Storage, Cloud Storage, Kafka, Amazon S3 applications. go-timeseries has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Golang Timeseries Data Bucket
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            kandi-support Support

              go-timeseries has a low active ecosystem.
              It has 7 star(s) with 6 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              go-timeseries has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of go-timeseries is current.

            kandi-Quality Quality

              go-timeseries has no bugs reported.

            kandi-Security Security

              go-timeseries has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              go-timeseries 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

              go-timeseries releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed go-timeseries and discovered the below as its top functions. This is intended to give you an instant insight into go-timeseries implemented functionality, and help decide if they suit your requirements.
            • Add adds the given primitive to the series .
            • filterBucket returns all buckets in the data stream .
            • primitivesAsArray converts a list to a list of Primitives .
            • minTime returns the minimum of two time .
            • Abs returns the absolute value of an integer .
            • maxTime returns the max time .
            • NewTimeSeries returns a new instance of TimeSeries .
            • NewInteger returns a new integer
            Get all kandi verified functions for this library.

            go-timeseries Key Features

            No Key Features are available at this moment for go-timeseries.

            go-timeseries Examples and Code Snippets

            No Code Snippets are available at this moment for go-timeseries.

            Community Discussions

            Trending Discussions on go-timeseries

            QUESTION

            django timeseries postgres beginner
            Asked 2017-Feb-06 at 07:54

            I'm writing small application in django in order to learn databases and web etc. The application should display players data and record statistics over time.
            To answer questions such as:
            How many random battles palyer has played in last month/week/day? - graph
            What players left/entered clan? - etc.

            I've been searching and reading and I found these suggestions: What is a good combination of technology to use?

            ...

            ANSWER

            Answered 2017-Feb-06 at 07:54

            After some more research and asking at python FB community I will try following: 1) Normalize the models 2) Use PostgreSQL as backend.

            Source https://stackoverflow.com/questions/42011138

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

            Vulnerabilities

            No vulnerabilities reported

            Install go-timeseries

            You can download it from GitHub.

            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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            https://github.com/sangwonl/go-timeseries.git

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            gh repo clone sangwonl/go-timeseries

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            git@github.com:sangwonl/go-timeseries.git

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