hash-library VS checksum

Compare hash-library vs checksum and see what are their differences.

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hash-library checksum
1 -
440 98
- -
0.0 0.0
7 months ago 5 months ago
C++ Go
zlib License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

hash-library

Posts with mentions or reviews of hash-library. We have used some of these posts to build our list of alternatives and similar projects.

checksum

Posts with mentions or reviews of checksum. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning checksum yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing hash-library and checksum you can also consider the following projects:

noble-hashes - Audited & minimal JS implementation of hash functions, MACs and KDFs.

concurrent-writer - Highly concurrent drop-in replacement for bufio.Writer

fhash - fHash - an open source files hash calculator for Windows and macOS

parquet - A library for reading and writing parquet files.

node-yencode - SIMD accelerated yEnc encoder/decoder and CRC32 calculator for node.js

tarfs - An implementation of the FileSystem interface for tar files.

OpenHashTab - 📝 File hashing and checking shell extension

vfs - Pluggable, extensible virtual file system for Go

cthash - constexpr implementation of SHA-2 and SHA-3 family of hashes

shred - This is a libary to mimic the functionallity of the linux shred command.

digestpp - C++11 header-only message digest library

go-exiftool - Golang wrapper for Exiftool : extract as much metadata as possible (EXIF, ...) from files (pictures, pdf, office documents, ...)