hashit
go-benchmarks
| hashit | go-benchmarks | |
|---|---|---|
| 6 | 1 | |
| 45 | 9 | |
| - | - | |
| 2.7 | 1.9 | |
| 4 months ago | 3 months ago | |
| Go | Go | |
| MIT License | - |
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.
hashit
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Best way to verify data - mass file checksum compare
Alternatively instead of using hashdeep use "hashit": https://github.com/boyter/hashit
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Criticism please: Is there a better way to log checksums of all my files?
For Windows I typically use hashdeep. Although I did come across hashit on github which is quite a bit faster: https://github.com/boyter/hashit
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An open source file Hasher AND Verifier?
I did find this alternative: https://github.com/boyter/hashit/releases/tag/v1.1.0
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How would you organise about 10 old hard drives?
I personally use hashdeep now with sha256 (well, recently discovered hashit - https://github.com/boyter/hashit and export to hashdeep format, and wrote my own script to compare log files for duplicates and potential issues). But crccheckcopy is a quick and simple way to verify your data and locate duplicates.
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Drive Integrity Software
Hashit: https://github.com/boyter/hashit
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create a hash for files inside a folders
hashit (Linux, Windows, it's GO code so compile as you wish) - https://github.com/boyter/hashit
go-benchmarks
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Reasons to Prefer Blake3 over Sha256
At the end of the day, what matters really for most people is
1) Certifications (FIPS...)
2) Speed.
SHA-256 is fast enough for maybe 99,9% of use cases as you will saturate your I/O way before SHA-256 becomes your bottleneck[0][1]. Also, from my experience with the different available implementations, SHA-256 is up to 1.8 times faster than Blake3 on arm64.
[0] https://github.com/skerkour/go-benchmarks/blob/main/results/...
[1] https://kerkour.com/fast-hashing-algorithms
What are some alternatives?
quickhash - Graphical cross platform data hashing tool for Linux, Windows and Mac
xsum - Checksums with Merkle trees and concurrency
blake3 - An AVX-512 accelerated implementation of the BLAKE3 cryptographic hash function
BLAKE3 - the official Rust and C implementations of the BLAKE3 cryptographic hash function
multihash - Self describing hashes - for future proofing
FileVerification - Generates a hash of all files in a folder tree and stores the hashes in a text file in each folder.
bao - an implementation of BLAKE3 verified streaming
collisions - Hash collisions and exploitations
BLAKE3-specs - The BLAKE3 paper: specifications, analysis, and design rationale