xsum VS go-merkletree

Compare xsum vs go-merkletree and see what are their differences.

go-merkletree

Go Merkle Tree. High performance, Supporting parallel run, OpenZeppelin sorting pairs. (by txaty)
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xsum go-merkletree
1 2
9 103
- -
0.0 6.2
about 2 years ago 6 months ago
Go Go
Apache License 2.0 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.

xsum

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

go-merkletree

Posts with mentions or reviews of go-merkletree. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-09.

What are some alternatives?

When comparing xsum and go-merkletree you can also consider the following projects:

image-stego - 🏞 Steganography-based image integrity - Merkle tree nodes embedded into image chunks so that each chunk's integrity can be verified on its own.

merkletreejs - 🌱 Construct Merkle Trees and verify proofs in JavaScript.

coubdl - command line tool that downloads your liked coubs for archival purposes

merkletree - A Merkle Tree implementation written in Go.

hashit - A cross platform tool to compute hashes of files quickly. Similar to hashdeep.

merkletreejs-solidity - Construct merkle trees with MerkleTree.js and verify merkle proofs in Solidity.

go-benchmarks - Comprehensive and reproducible benchmarks for Go developers and architects.

ghrel - Download and verify GitHub release

XCrack - A hash cracking tool with some other offline password attack tools

wal-g - Archival and Restoration for databases in the Cloud