https://github.com/rapougnac/eterl

Eterl is a fast packer and unpacker for the External Term Erlang Format (version 131).
https://github.com/rapougnac/eterl

encoder-decoder erlang

Last synced: 3 months ago
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Eterl is a fast packer and unpacker for the External Term Erlang Format (version 131).

• Host: GitHub
• URL: https://github.com/rapougnac/eterl
• Owner: Rapougnac
• License: apache-2.0
• Created: 2023-01-11T10:01:19.000Z (about 2 years ago)
• Default Branch: mistress
• Last Pushed: 2024-05-28T14:06:19.000Z (8 months ago)
• Last Synced: 2024-05-29T04:17:42.314Z (8 months ago)
• Topics: encoder-decoder, erlang
• Language: Dart
• Homepage:
• Size: 40 KB
• Stars: 4
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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README

        
# Eterl (External Term Erlang (format))

Eterl is a fast packer and unpacker for the External Term Erlang Format (version 131).

## Example

```dart

import 'package:eterl/eterl.dart';

void main() {

    final data = [{'hello': ['eterl', 1,2,3], 'l': [{'im': 'nested', 'i': {'also': 'supports unicode 💀🗿🥀 èè¨àà¨ü!ääüäöä£üüöäüéèéè>>>><<<<>>~~~'}}]}];

    final packed = eterl.pack(data);

    final unpacked = eterl.unpack(packed);

    print(unpacked);

}

```

## Supported terms

- `String`s

- `Atom`s (only while decoding)

- `bool`s

- `double`s

- `int`s

- `BigInt`s

- `Map`s

- `List`s

- `Tuple`s (only while decoding, tuples are converted into a `List`)

## Benchmarks

`dart run benchmark/eterl_benchmark.dart`

```shell

[210ms:142us] Encoder: hello world

  mean: 0.15 ± 0.11 us, median: 0.13 ± 0.017 us

  ▉▂▄▂__________  110  _____ sample size: 100 (averaged over 225 runs)

[243ms:186us] Encoder: data

  mean: 2.59 ± 0.76 us, median: 2.28 ± 0.24 us

  ▆▉▄▂________________▁_______ sample size: 79 (averaged over 199 runs)

[274ms:047us] Encoder: Complex data

  mean: 49.75 ± 12.45 us, median: 42.58 ± 14.93 us

  ▉▁▁▁_ sample size: 28 (averaged over 46 runs)

[206ms:551us] Decoder: hello world

  mean: 0.23 ± 0.12 us, median: 0.17 ± 0.10 us

  ▉_▄▁_____________ sample size: 100 (averaged over 188 runs)

[243ms:790us] Decoder: data

  mean: 3.60 ± 1.17 us, median: 2.91 ± 1.46 us

  ▉▆▁▁▃_ sample size: 75 (averaged over 165 runs)

[266ms:378us] Decoder: Complex data

  mean: 158.66 ± 312.078 us, median: 63.87 ± 12.28 us

  ▉▅▁_▁____  149  _____ sample size: 27 (averaged over 28 runs)

```