hnswlib | Header-only C++/python library

by nmslib C++ Version: v0.7.0 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | hnswlib Summary

hnswlib is a C++ library. hnswlib has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

Header-only C++ HNSW implementation with python bindings.

Support

Quality

Security

License

Reuse

Support

hnswlib has a medium active ecosystem.

It has 3094 star(s) with 466 fork(s). There are 63 watchers for this library.

It had no major release in the last 12 months.

There are 144 open issues and 137 have been closed. On average issues are closed in 31 days. There are 18 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of hnswlib is v0.7.0

Quality

hnswlib has 0 bugs and 0 code smells.

Security

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

hnswlib code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

hnswlib 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.

Reuse

hnswlib releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 811 lines of code, 38 functions and 20 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

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hnswlib Key Features

No Key Features are available at this moment for hnswlib.

hnswlib Examples and Code Snippets

No Code Snippets are available at this moment for hnswlib.

Community Discussions

Trending Discussions on hnswlib

Efficient way to map matrix int values to str with numpy

QUESTION

Efficient way to map matrix int values to str with numpy

Asked 2019-Dec-17 at 12:00

I am calculating similarity between embedding vectors My matrix shape is (16480,300) --> vecs

...

ANSWER

Answered 2019-Dec-16 at 16:39

You could try to use indexing df.ind with labels once added a dimension with None. Not sure of your exact expected output, but something like:

Source https://stackoverflow.com/questions/59358009

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

Vulnerabilities

No vulnerabilities reported

Install hnswlib

You can install from sources:. or you can install via pip: pip install hnswlib.

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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