AFFiNE | gen knowledge base that brings planning
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.
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.
Support
Quality
Security
License
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Support
AFFiNE has a medium active ecosystem.
It has 16875 star(s) with 865 fork(s). There are 142 watchers for this library.
It had no major release 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
Quality
AFFiNE has no bugs reported.
Security
AFFiNE has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
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.
Reuse
AFFiNE releases are available to install and integrate.
Installation instructions are available. Examples and code snippets are not available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of AFFiNE
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of AFFiNE
AFFiNE Key Features
No Key Features are available at this moment for AFFiNE.
AFFiNE Examples and Code Snippets
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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
Copy
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
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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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