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github.com/AdamNiederer/base100 @0.4.1

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README

crates.io

Base💯

Encode things into Emoji.

Base💯 can represent any byte with a unique emoji symbol, therefore it can represent binary data with zero printable overhead (see caveats for more info).

Usage

$ echo "the quick brown fox jumped over the lazy dog" | base100
👫👟👜🐗👨👬👠👚👢🐗👙👩👦👮👥🐗👝👦👯🐗👡👬👤👧👜👛🐗👦👭👜👩🐗👫👟👜🐗👣👘👱👰🐗👛👦👞🐁

Base💯 will read from stdin unless a file is specified, will write UTF-8 to stdout, and has a similar API to GNU's base64. Data is encoded by default, unless --decode is specified; the --encode flag does nothing and exists solely to accommodate lazy people who don't want to read the docs (like me).

USAGE:
    base100 [FLAGS] [input]

FLAGS:
    -d, --decode     Tells base💯 to decode this data
    -e, --encode     Tells base💯 to encode this data
    -h, --help       Prints help information
    -V, --version    Prints version information

ARGS:
    <input>    The input file to use

Installation

To install base💯, use cargo:

$ cargo install base100

base💯 also has an AVX-accelerated implementation, delivering up to 4x faster performance. If you have a capable CPU and nightly rust, install it as such:

$ RUSTFLAGS="-C target-cpu=native" cargo install base100 --features simd

Performance

base💯's performance is very competitive with other encoding algorithms.

Scalar Performance

$ base100 --version
base💯 0.4.1

$ base64 --version
base64 (GNU coreutils) 8.28

$ cat /dev/urandom | pv | base100 > /dev/null
 [ 247MiB/s]

$ cat /dev/urandom | pv | base64 > /dev/null
 [ 232MiB/s]

$ cat /dev/urandom | pv | base100 | base100 -d > /dev/null
 [ 233MiB/s]

$ cat /dev/urandom | pv | base64 | base64 -d > /dev/null
 [ 176MiB/s]

In both scenarios, base💯 compares favorably to GNU base64.

SIMD Performance

On a machine supporting AVX2, base💯 gains a 4x performance boost via some hand-tuned x86-64 assembly. Support for SSE2 will come soon, and I will happily support AVX-512 if some compatible hardware finds its way into my hands.

To receive this speedup: you must use: - An AVX2-capable processor (Newer than Broadwell, or Zen) - Nightly Rust

To build the SIMD-accelerated version, simply go to your project directory and type

$ RUSTFLAGS="-C target-cpu=native" cargo +nightly build --release --features simd

Please note that the below benchmarks were taken on a significantly weaker machine than the above benchmarks, and cannot be directly compared.

$ base100 --version
base💯 0.4.1

$ base64 --version
base64 (GNU coreutils) 8.28

$ cat /dev/zero | pv | ./base100 > /dev/null
 [1.14GiB/s]

$ cat /dev/zero | pv | base64 > /dev/null
 [ 479MiB/s]

$ cat /dev/zero | pv | ./base100 | ./base100 -d > /dev/null
 [ 412MiB/s]

$ cat /dev/zero | pv | base64 | base64 -d > /dev/null
 [ 110MiB/s]

In this scenario, base💯 compares very favorably to GNU base64.

Caveats

Base💯 is very space inefficient. It bloats the size of your data by around 3x, and should only be used if you have to display encoded binary data in as few printable characters as possible. It is, however, very suitable for human interaction. Encoded hashes and checksums become very easy to verify at a glance, and take up much less space on a terminal.

Future plans

  • Allow data to be encoded with the full 1024-element emoji set
  • Add further optimizations and ensure we're abusing SIMD as much as possible
  • Add multiprocessor support

Core symbols most depended-on inside this repo

emoji_to_char
called by 1
src/main.rs
char_to_emoji
called by 1
src/main.rs
main
called by 0
src/main.rs

Shape

Function 3

Languages

Rust100%

Modules by API surface

src/main.rs3 symbols

For agents

$ claude mcp add base100 \
  -- python -m otcore.mcp_server <graph>

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