quantifiedme | A metarepo for some of my Quantified Self projects

 by   ErikBjare Python Version: Current License: No License

kandi X-RAY | quantifiedme Summary

kandi X-RAY | quantifiedme Summary

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

Loading and plotting of various Quantified Self data sources. Note: The code is not in a condition to be used by others than me, but I encourage you to try to anyway, and report or send PRs for any issues you encounter.
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            kandi-support Support

              quantifiedme has a low active ecosystem.
              It has 25 star(s) with 2 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 3 open issues and 1 have been closed. On average issues are closed in 58 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of quantifiedme is current.

            kandi-Quality Quality

              quantifiedme has no bugs reported.

            kandi-Security Security

              quantifiedme has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              quantifiedme does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              quantifiedme releases are not available. You will need to build from source code and install.
              quantifiedme has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed quantifiedme and discovered the below as its top functions. This is intended to give you an instant insight into quantifiedme implemented functionality, and help decide if they suit your requirements.
            • Build the html
            • Build the activity plot
            • Build location plots
            • Build category time plot
            • Locate a dataset
            • Loads all json files
            • Load location history from a JSON file
            • Plots the distance between two datasets
            • Convert events to Pandas DataFrame
            • Load config
            • Convert a DataFrame to a pandas Series
            • Load events from events
            • Copy a bucket to InfluxDB
            • Convert an event to InfluxDB Point
            • Write events to Influxdb
            • Print activity summary
            • Load a list of TOGGL events
            • Compute the category time per day per day
            • Plots the behavior of habit
            • Plot a calendar
            • Load the Toggl API
            • Loads all events from a given time range
            • Add a bar chart to the plot
            • Take the next item from a list
            • Parse command line arguments
            • Find dates with no entries that are missing
            • Calculate the sleepiness
            Get all kandi verified functions for this library.

            quantifiedme Key Features

            No Key Features are available at this moment for quantifiedme.

            quantifiedme Examples and Code Snippets

            No Code Snippets are available at this moment for quantifiedme.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install quantifiedme

            You can download it from GitHub.
            You can use quantifiedme 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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          • HTTPS

            https://github.com/ErikBjare/quantifiedme.git

          • CLI

            gh repo clone ErikBjare/quantifiedme

          • sshUrl

            git@github.com:ErikBjare/quantifiedme.git

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