emmet | master builder of databases of material properties

by rkingsbury Python Version: Current License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | emmet Summary

emmet is a Python library. emmet has no bugs, it has no vulnerabilities and it has low support. However emmet build file is not available and it has a Non-SPDX License. You can download it from GitHub.

The Materials API Toolkit for the Materials Project. Emmet defines the core models, data pipelines, the API server, and the convenience CLI.

Support

Quality

Security

License

Reuse

Support

emmet has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

emmet has no issues reported. There are 9 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of emmet is current.

Quality

emmet has no bugs reported.

Security

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

License

emmet 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

emmet releases are not available. You will need to build from source code and install.

emmet has no build file. You will be need to create the build yourself to build the component from source.

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emmet Key Features

No Key Features are available at this moment for emmet.

emmet Examples and Code Snippets

No Code Snippets are available at this moment for emmet.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install emmet

You can download it from GitHub.
You can use emmet 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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