go-merkletree VS xsum

Compare go-merkletree vs xsum 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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go-merkletree xsum
2 1
103 9
- -
6.2 0.0
6 months ago about 2 years ago
Go Go
MIT License Apache License 2.0
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.

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.

xsum

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

What are some alternatives?

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

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

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.

merkletree - A Merkle Tree implementation written in Go.

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

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

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

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