fujiwarachoki/lempel-ziv-algos — explained in plain English
Analysis updated 2026-07-18 · repo last pushed 2025-12-24
Study how LZW and LZ77 compression algorithms work by reading working C code.
Use the implementations as a reference or starting point for building compression into your own project.
Compare the dictionary-based LZW approach against the lookback-based LZ77 approach side by side.
| fujiwarachoki/lempel-ziv-algos | ac000/find-flv | acc4github/kdenlive-omnifade | |
|---|---|---|---|
| Stars | — | — | 0 |
| Language | C | C | C |
| Last pushed | 2025-12-24 | 2013-04-05 | — |
| Maintenance | Quiet | Dormant | — |
| Setup difficulty | easy | moderate | moderate |
| Complexity | 3/5 | 2/5 | 2/5 |
| Audience | developer | developer | general |
Figures from each repo's GitHub metadata at analysis time.
README doesn't specify whether decompression or example files are included, check the source directly.
This repository contains working implementations of two classic data compression algorithms, written in the C programming language. Lempel-Ziv algorithms are methods for squeezing data down to a smaller size, the kind of compression you might see in ZIP files or image formats. Instead of storing raw data, these algorithms spot patterns and repetition, then replace them with shorter codes. The two variants here are LZW (Lempel-Ziv-Welch) and LZ77, which use slightly different strategies to find and encode those patterns. LZW builds a dictionary of patterns as it reads the data, while LZ77 looks back at data it's already processed to find matching chunks. The README doesn't elaborate on the specific features or implementation details, so it's unclear whether this repo includes both compression and decompression, example files to compress, or documentation of the algorithms themselves. For someone learning about compression, this would be a place to see how these foundational algorithms actually work in code. For a developer needing compression functionality, this could serve as a reference or starting point, though you'd want to check whether the implementations are optimized for production use or mainly educational. If you're interested in how data compression works under the hood, or you're building something that needs to shrink file sizes and want to understand these classic techniques, this repo gives you a direct look at the algorithms in action.
C implementations of the LZW and LZ77 data compression algorithms, showing how these classic pattern-based techniques shrink file sizes.
Mainly C. The stack also includes C.
Quiet — no commits in 6-12 months (last push 2025-12-24).
The explanation does not state a specific license.
Setup difficulty is rated easy, with roughly 30min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Don't trust strangers blindly. Verify against the repo.