molfeat | molfeat - the hub for all your molecular featurizers

 by   datamol-io Python Version: 0.10.0 License: Apache-2.0

kandi X-RAY | molfeat Summary

kandi X-RAY | molfeat Summary

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

Molfeat is a hub of molecular featurizers. It supports a wide variety of out-of-the-box molecular featurizers and can be easily extended to include your own custom featurizers. Visit our website at
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              molfeat has a low active ecosystem.
              It has 90 star(s) with 7 fork(s). There are 7 watchers for this library.
              There were 3 major release(s) in the last 12 months.
              There are 3 open issues and 20 have been closed. On average issues are closed in 5 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of molfeat is 0.10.0

            kandi-Quality Quality

              molfeat has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              molfeat 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

              molfeat releases are available to install and integrate.
              Deployable package is available in PyPI.
              molfeat has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

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            molfeat Key Features

            No Key Features are available at this moment for molfeat.

            molfeat Examples and Code Snippets

            No Code Snippets are available at this moment for molfeat.

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install molfeat

            You can install using 'pip install molfeat' or download it from GitHub, PyPI.
            You can use molfeat 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 molfeat

          • CLONE
          • HTTPS

            https://github.com/datamol-io/molfeat.git

          • CLI

            gh repo clone datamol-io/molfeat

          • sshUrl

            git@github.com:datamol-io/molfeat.git

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