hsds | Cloud-native , service based access to HDF data | Continuous Deployment library

 by   HDFGroup Python Version: 0.8.4 License: Apache-2.0

kandi X-RAY | hsds Summary

kandi X-RAY | hsds Summary

hsds is a Python library typically used in Devops, Continuous Deployment, Docker, Amazon S3 applications. hsds 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 hsds' or download it from GitHub, PyPI.

HSDS is a web service that implements a REST-based web service for HDF5 data stores. Data can be stored in either a POSIX files system, or using object based storage such as AWS S3, Azure Blob Storage, or OpenIO . HSDS can be run a single machine using Docker or on a cluster using Kubernetes (or AKS on Microsoft Azure).
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            kandi-support Support

              hsds has a low active ecosystem.
              It has 104 star(s) with 50 fork(s). There are 20 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 25 open issues and 102 have been closed. On average issues are closed in 132 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of hsds is 0.8.4

            kandi-Quality Quality

              hsds has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              hsds 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

              hsds 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 are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed hsds and discovered the below as its top functions. This is intended to give you an instant insight into hsds implemented functionality, and help decide if they suit your requirements.
            • Get PUT value
            • Convert bytes to numpy array
            • Return a list representation of the Dataset
            • Convert bytes to list
            • Create a new Dataset
            • Return the node number for a given app
            • Validate that the object is in partition
            • Check if a metadata object exists in a partition
            • Get dataset
            • Get a single chunk
            • Initialize the application
            • PUT attribute value
            • PUT an attribute
            • POST a chunk
            • Register a new node
            • Update dataset shape
            • Get a specific domain
            • Convert a bytes object to a numpy array
            • Get a specific byte range
            • Get a GET_Attribute value
            • Log lambda function
            • Delete a domain
            • Main entry point
            • Handle POST request
            • Get value for dataset
            • Update domain
            • PUT a PUT chunk
            Get all kandi verified functions for this library.

            hsds Key Features

            No Key Features are available at this moment for hsds.

            hsds Examples and Code Snippets

            No Code Snippets are available at this moment for hsds.

            Community Discussions

            QUESTION

            Configure package on python
            Asked 2021-Oct-07 at 08:17

            I'm curious if anyone here has been able to successfully access NREL's wind datasets using the h5py library as explained here: https://github.com/NREL/hsds-examples ?

            I am having trouble with configuring HSDS. I am using Python 3.7.10 and Anaconda. These are the steps that are listed:

            For this to work you must first install h5pyd:

            ...

            ANSWER

            Answered 2021-Aug-03 at 05:05

            I was able to get it running with the following setup:

            1. (optional) MambaForge base. Mamba is faster than Conda, and working in base is practically an anti-pattern.

            2. Jupyter in dedicated environment.

              jupyter.yaml

            Source https://stackoverflow.com/questions/68628524

            QUESTION

            Converting Text file to CSV without repeating names in the first column while adding up values in real time
            Asked 2021-Apr-04 at 16:07

            all,

            First post on SO so if I am asking a question that has already been answered please let me know and I will delete this post right away.

            I am trying to convert a text file that looks something like this:

            ...

            ANSWER

            Answered 2021-Apr-04 at 06:12

            You could proceed like this by collecting data by concatenation in an array:

            Source https://stackoverflow.com/questions/66933054

            QUESTION

            How to do ANOVA and Tukey's HSD on histogram dataframe in R
            Asked 2020-Nov-18 at 07:50

            I have several tidyr "uncounted" histograms in one dataframe using the following code:

            ...

            ANSWER

            Answered 2020-Nov-18 at 07:50

            Starting after the "uncount data" code block:

            Source https://stackoverflow.com/questions/64850867

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

            Vulnerabilities

            No vulnerabilities reported

            Install hsds

            You can install using 'pip install hsds' or download it from GitHub, PyPI.
            You can use hsds 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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            Install
          • PyPI

            pip install hsds

          • CLONE
          • HTTPS

            https://github.com/HDFGroup/hsds.git

          • CLI

            gh repo clone HDFGroup/hsds

          • sshUrl

            git@github.com:HDFGroup/hsds.git

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