health-tracking | Parse Apple Health App dump conveniently and create

 by   se-jaeger Python Version: 0.1.1 License: Apache-2.0

kandi X-RAY | health-tracking Summary

kandi X-RAY | health-tracking Summary

health-tracking is a Python library. health-tracking has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install health-tracking' or download it from GitHub, PyPI.

Add the exported dump (see here for information), usally named export.zip, into the directory data/raw/export.zip. The AppleHealthParser is able to unzip and parse it.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              health-tracking has a low active ecosystem.
              It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              health-tracking has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of health-tracking is 0.1.1

            kandi-Quality Quality

              health-tracking has no bugs reported.

            kandi-Security Security

              health-tracking has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              health-tracking is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              health-tracking releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed health-tracking and discovered the below as its top functions. This is intended to give you an instant insight into health-tracking implemented functionality, and help decide if they suit your requirements.
            • Plot workout .
            • Initialize workouts .
            • Extracts all elements of the specified type .
            • Convert data types to datetime
            • Returns a list of new days offsets for each day .
            • Calculate the total number of minutes perkm .
            • Setup recommonmark .
            • Create a Singleton instance .
            Get all kandi verified functions for this library.

            health-tracking Key Features

            No Key Features are available at this moment for health-tracking.

            health-tracking Examples and Code Snippets

            No Code Snippets are available at this moment for health-tracking.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install health-tracking

            In order to set up the necessary environment:.
            create an environment health-tracking with the help of conda, conda env create -f environment.yaml
            activate the new environment with conda activate health-tracking
            install health-tracking with: python setup.py install # or `develop`
            install several pre-commit git hooks with: pre-commit install and checkout the configuration under .pre-commit-config.yaml. The -n, --no-verify flag of git commit can be used to deactivate pre-commit hooks temporarily.
            install nbstripout git hooks to remove the output cells of committed notebooks with: nbstripout --install --attributes notebooks/.gitattributes This is useful to avoid large diffs due to plots in your notebooks. A simple nbstripout --uninstall will revert these changes.

            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:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            Install
          • PyPI

            pip install health-tracking

          • CLONE
          • HTTPS

            https://github.com/se-jaeger/health-tracking.git

          • CLI

            gh repo clone se-jaeger/health-tracking

          • sshUrl

            git@github.com:se-jaeger/health-tracking.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link