nilsimsa-lite | A minimal C implementation of the Nilsimsa algorithm

by 3p3r C Version: Current License: MIT

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kandi X-RAY | nilsimsa-lite Summary

nilsimsa-lite is a C library. nilsimsa-lite has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

In its most simplistic explanation, Nilsimsa produces the same hash if the data it represents is "almost" identical. Compare this to cryptographic hash functions (such as MD5) where hashes are identical iff the data it represents are identical.

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Support

nilsimsa-lite has a low active ecosystem.

It has 4 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

nilsimsa-lite has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of nilsimsa-lite is current.

Quality

nilsimsa-lite has no bugs reported.

Security

nilsimsa-lite has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

nilsimsa-lite is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

nilsimsa-lite releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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nilsimsa-lite Key Features

No Key Features are available at this moment for nilsimsa-lite.

nilsimsa-lite Examples and Code Snippets

No Code Snippets are available at this moment for nilsimsa-lite.

Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install nilsimsa-lite

There is no dependency in the source. Unit tests require <assert.h> and <string.h>. To build:. Open up the solution and build.
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computes the Nilsimsa hash of the given data. Returns a 64 character long string representing the digest. compares two given Nilsimsa hashes. Returns a score between -127 and 128 where -127 means completely uncorrelated data and 128 means same data.

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