dx-toolkit | DNAnexus platform client libraries

 by   dnanexus Python Version: v0.350.0 License: Apache-2.0

kandi X-RAY | dx-toolkit Summary

kandi X-RAY | dx-toolkit Summary

dx-toolkit is a Python library. dx-toolkit has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However dx-toolkit build file is not available. You can install using 'pip install dx-toolkit' or download it from GitHub, PyPI.

DNAnexus platform client libraries
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            kandi-support Support

              dx-toolkit has a low active ecosystem.
              It has 74 star(s) with 75 fork(s). There are 71 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 38 open issues and 85 have been closed. On average issues are closed in 328 days. There are 35 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of dx-toolkit is v0.350.0

            kandi-Quality Quality

              dx-toolkit has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              dx-toolkit 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

              dx-toolkit releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              dx-toolkit has no build file. You will be need to create the build yourself to build the component from source.
              It has 50650 lines of code, 4762 functions and 171 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed dx-toolkit and discovered the below as its top functions. This is intended to give you an instant insight into dx-toolkit implemented functionality, and help decide if they suit your requirements.
            • Demonstrates how to use a DNAnexus parallelism
            • Generates a random nonce
            • Converts a byte array to a hex string
            • Send a multipart upload request to the server
            • Executes a given request with retry logic
            • Compares this object to another
            • Compares this object for equality
            • Returns the hash code
            • Returns a hashCode of the xId
            • Starts the demo
            • Gets the dependencies of a task
            • Adds a stage to a workflow
            • Waits until the job completes
            • Returns an existing object with the specified descriptor
            • Waits until the specified analysis is completed
            • Parse the proxy definition
            • List all projects owned by this object
            Get all kandi verified functions for this library.

            dx-toolkit Key Features

            No Key Features are available at this moment for dx-toolkit.

            dx-toolkit Examples and Code Snippets

            No Code Snippets are available at this moment for dx-toolkit.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install dx-toolkit

            You can install using 'pip install dx-toolkit' or download it from GitHub, PyPI.
            You can use dx-toolkit 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/dnanexus/dx-toolkit.git

          • CLI

            gh repo clone dnanexus/dx-toolkit

          • sshUrl

            git@github.com:dnanexus/dx-toolkit.git

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