timestreamlib | Please use the current version

 by   borevitzlab Python Version: Current License: GPL-3.0

kandi X-RAY | timestreamlib Summary

kandi X-RAY | timestreamlib Summary

timestreamlib is a Python library. timestreamlib 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 timestreamlib' or download it from GitHub, PyPI.

DEPRECATED. Please use the current version of the TimeStream tools at https://gitlab.com/appf-anu/pyts2.
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            kandi-support Support

              timestreamlib has a low active ecosystem.
              It has 7 star(s) with 4 fork(s). There are 16 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 38 open issues and 117 have been closed. On average issues are closed in 323 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of timestreamlib is current.

            kandi-Quality Quality

              timestreamlib has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              timestreamlib is licensed under the GPL-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

              timestreamlib releases are not available. You will need to build from source code and install.
              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 timestreamlib and discovered the below as its top functions. This is intended to give you an instant insight into timestreamlib implemented functionality, and help decide if they suit your requirements.
            • Save pipeline settings
            • Append a configuration section
            • Write image to fpath
            • Create a new PCFG section
            • Convert a time stream into a time stream
            • Read metadata from oop
            • Load this timestream
            • Create a TimeStream
            • Show the previous image
            • Test pipeline
            • Reads the plant nameots from the input config file
            • Counts the number of leafs in the histogram
            • Load the image
            • Generate a time series context
            • Generate a timestream
            • Creates a config file
            • Minimization filter
            • Segment image
            • Return the version information
            • Iterate over time series
            • Initialize the pipeline
            • Create a new version file
            • Left click event handler
            • Match template pyramid
            • Convert a ts file to a netCDF4 file
            • Generate pipeline configuration
            Get all kandi verified functions for this library.

            timestreamlib Key Features

            No Key Features are available at this moment for timestreamlib.

            timestreamlib Examples and Code Snippets

            No Code Snippets are available at this moment for timestreamlib.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install timestreamlib

            You can install using 'pip install timestreamlib' or download it from GitHub, PyPI.
            You can use timestreamlib 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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            CLONE
          • HTTPS

            https://github.com/borevitzlab/timestreamlib.git

          • CLI

            gh repo clone borevitzlab/timestreamlib

          • sshUrl

            git@github.com:borevitzlab/timestreamlib.git

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