shyft | Source code for shyft .
kandi X-RAY | shyft Summary
kandi X-RAY | shyft Summary
shyft is a C++ library. shyft has no bugs, it has no vulnerabilities and it has low support. However shyft has a Non-SPDX License. You can download it from GitLab.
Shyft is a cross-platform open source toolbox developed at Statkraft. The overall goal for the toolbox is to provide python-enabled high performance components with operational quality. This allows model experts in the business domain, scientists at institutes/universities together with professional programmers can cooperate efficiently to maximize the IT-support in the energy-market domain. Once improved functionality is implemented and tested, it can be released for use. Shyft have rolling-releases, - improvements are shipped as soon as testing proves the improvement and quality. The Shyft software components are used in active 24x7 operation at Statkraft and actively maintained and developed. Some of our tools and libraries will work nice for other domains as well, like the time-series package. Currently the toolbox includes the major components as described in the next sections. If your primary interest is Hydrology forecasting models and algorithms, skip to the Hydrology section, although the Time-series section might be useful while working with hydrology.
Shyft is a cross-platform open source toolbox developed at Statkraft. The overall goal for the toolbox is to provide python-enabled high performance components with operational quality. This allows model experts in the business domain, scientists at institutes/universities together with professional programmers can cooperate efficiently to maximize the IT-support in the energy-market domain. Once improved functionality is implemented and tested, it can be released for use. Shyft have rolling-releases, - improvements are shipped as soon as testing proves the improvement and quality. The Shyft software components are used in active 24x7 operation at Statkraft and actively maintained and developed. Some of our tools and libraries will work nice for other domains as well, like the time-series package. Currently the toolbox includes the major components as described in the next sections. If your primary interest is Hydrology forecasting models and algorithms, skip to the Hydrology section, although the Time-series section might be useful while working with hydrology.
Support
Quality
Security
License
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Support
shyft has a low active ecosystem.
It has 0 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
shyft has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of shyft is current.
Quality
shyft has no bugs reported.
Security
shyft has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
shyft has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
Reuse
shyft releases are not available. You will need to build from source code and install.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of shyft
shyft Key Features
No Key Features are available at this moment for shyft.
shyft Examples and Code Snippets
No Code Snippets are available at this moment for shyft.
Community Discussions
No Community Discussions are available at this moment for shyft.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install shyft
Please refer to our Python Installation Guide.
Support
For any new features, suggestions and bugs create an issue on GitLab.
If you have any questions check and ask questions on community page Stack Overflow .
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