AFFiNE | gen knowledge base that brings planning

 by   toeverything TypeScript Version: v0.7.0-canary.18 License: MPL-2.0

kandi X-RAY | AFFiNE Summary

kandi X-RAY | AFFiNE Summary

AFFiNE is a TypeScript library. AFFiNE has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has medium support. You can download it from GitHub.

There can be more than Notion and Miro. AFFiNE is a next-gen knowledge base that brings planning, sorting and creating all together. Privacy first, open-source, customizable and ready to use.
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              AFFiNE has a medium active ecosystem.
              It has 16875 star(s) with 865 fork(s). There are 142 watchers for this library.
              There were 10 major release(s) in the last 12 months.
              There are 147 open issues and 821 have been closed. On average issues are closed in 74 days. There are 17 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of AFFiNE is v0.7.0-canary.18

            kandi-Quality Quality

              AFFiNE has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              AFFiNE is licensed under the MPL-2.0 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

              AFFiNE releases are available to install and integrate.
              Installation instructions are available. Examples and code snippets are not available.

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            AFFiNE Key Features

            No Key Features are available at this moment for AFFiNE.

            AFFiNE Examples and Code Snippets

            Convert matrices to flat transforms .
            pythondot img1Lines of Code : 31dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def matrices_to_flat_transforms(transform_matrices):
              """Converts affine matrices to `tf.contrib.image` projective transforms.
            
              Note that we expect matrices that map output coordinates to input coordinates.
              To convert forward transformation matr  
            Convert a flat transformation matrix to matrices .
            pythondot img2Lines of Code : 30dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def flat_transforms_to_matrices(transforms):
              """Converts `tf.contrib.image` projective transforms to affine matrices.
            
              Note that the output matrices map output coordinates to input coordinates. For
              the forward transformation matrix, call `tf.li  
            Decrypt a message using the given key .
            pythondot img3Lines of Code : 17dot img3License : Permissive (MIT License)
            copy iconCopy
            def decrypt_message(key: int, message: str) -> str:
                """
                >>> decrypt_message(4545, 'VL}p MM{I}p~{HL}Gp{vp pFsH}pxMpyxIx JHL O}F{~pvuOvF{FuF'
                ...                       '{xIp~{HL}Gi')
                'The affine cipher is a type of monoalpha  

            Community Discussions

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

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

            Vulnerabilities

            No vulnerabilities reported

            Install AFFiNE

            ⚠️ Please note that AFFiNE is still under active development and is not yet ready for production use. ⚠️. No installation or registration required! Head over to our website and try it out now. Our wonderful community, where you can meet and engage with the team, developers and other like-minded enthusiastic user of AFFiNE.

            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 .
            Find more information at:

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