ZX0 VS compression

Compare ZX0 vs compression and see what are their differences.

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ZX0 compression
1 1
150 831
- 1.0%
0.0 6.5
8 months ago 14 days ago
Assembly Python
BSD 3-clause "New" or "Revised" 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.

ZX0

Posts with mentions or reviews of ZX0. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-29.
  • FC8 – Faster 68K Decompression (2016)
    3 projects | news.ycombinator.com | 29 Apr 2024
    I'm working on a game for Amiga (another 68k-based platform) and settled on ZX0 to decompress assets on the fly: https://github.com/einar-saukas/ZX0

    I was originally using LZ4, but I switched to ZX0 after learning that it can do in-place decompression, which means I don't have to allocate separate memory for the compressed data. I'm very happy with the compression ratio, and decompression of large assets (~48kb) only takes a few frames on a 7MHz 68000.

    Also of note is LZ4W, included in Sega Genesis Dev Kit (and discussed in the comments section of OP's article), a variant of LZ4 that only uses word-aligned operations. That makes it much faster on the 68000, which can struggle to efficiently handle 8-bit data. More info here: https://github.com/Stephane-D/SGDK/blob/master/bin/lz4w.txt

compression

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

What are some alternatives?

When comparing ZX0 and compression you can also consider the following projects:

EmoPy - A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)

openrec - OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

serving - A flexible, high-performance serving system for machine learning models

deephyper - DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

guesslang - Detect the programming language of a source code

tensorflow - An Open Source Machine Learning Framework for Everyone

Note - Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.

Gradient-Centralization-TensorFlow - Instantly improve your training performance of TensorFlow models with just 2 lines of code!