This project is based on Gonzalo Navarro's amazing "Compact Data Structures: A Practical Approach."
We aim to implement simple Huffman Coding and Run-Length Encoding (RLE) algorithms for data compression and decompression by providing command-line tools for encoding, decoding, and combining both algorithms into a compression pipeline.
Note: Requires g++ and the sdsl-lite.
git clone https://github.com/jvtoppa/huffman-rle-compressor.git
cd huffman-rle-compressor
makeRun all commands using the Python CLI interface:
Huffman Compression:
python3 cli.py huffman --input path/to/file.txt --output path/to/file (NOTE: DO NOT ADD THE EXTENSION OF THE FILE!)
RLE Compression:
python3 cli.py rle --input path/to/file.txt --output path/to/file
Pipeline Compression (RLE -> Huffman):
python3 cli.py pipeline --input path/to/file.txt --output path/to/file
Huffman Decompression:
python3 cli.py dehuffman --tree path/to/tree_data.bin --encoded path/to/encoding.bin --output output.txt
If --output is not provided, the default output file is decompressed.txt.
Copyright 2025 João Vitor H. Toppa
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