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docs: update benchmarks with the current results

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Karim shoair
2025-11-26 02:50:01 +02:00
parent ab23b71836
commit eb15aae444
8 changed files with 109 additions and 102 deletions
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docs/README.md
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@@ -244,14 +244,15 @@ Scrapling isn't just powerful—it's also blazing fast, and the updates since ve
| # | Library | Time (ms) | vs Scrapling |
|---|:-----------------:|:---------:|:------------:|
| 1 | Scrapling | 1.92 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.036x |
| 3 | Raw Lxml | 2.33 | 1.214x |
| 4 | PyQuery | 20.61 | ~11x |
| 5 | Selectolax | 80.65 | ~42x |
| 6 | BS4 with Lxml | 1283.21 | ~698x |
| 7 | MechanicalSoup | 1304.57 | ~679x |
| 8 | BS4 with html5lib | 3331.96 | ~1735x |
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.01 | 1.01x |
| 3 | Raw Lxml | 2.5 | 1.256x |
| 4 | PyQuery | 22.93 | ~11.5x |
| 5 | Selectolax | 80.57 | ~40.5x |
| 6 | BS4 with Lxml | 1541.37 | ~774.6x |
| 7 | MechanicalSoup | 1547.35 | ~777.6x |
| 8 | BS4 with html5lib | 3410.58 | ~1713.9x |
### Element Similarity & Text Search Performance
@@ -259,8 +260,8 @@ Scrapling's adaptive element finding capabilities significantly outperform alter
| Library | Time (ms) | vs Scrapling |
|-------------|:---------:|:------------:|
| Scrapling | 1.87 | 1.0x |
| AutoScraper | 10.24 | 5.476x |
| Scrapling | 2.46 | 1.0x |
| AutoScraper | 13.3 | 5.407x |
> All benchmarks represent averages of 100+ runs. See [benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py) for methodology.
docs/README_AR.md
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@@ -233,24 +233,25 @@ Scrapling ليس قوياً فقط - إنه أيضاً سريع بشكل مذه
### اختبار سرعة استخراج النص (5000 عنصر متداخل)
| # | المكتبة | الوقت (ms) | vs Scrapling |
|---|:-----------------:|:---------:|:------------:|
| 1 | Scrapling | 1.92 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.036x |
| 3 | Raw Lxml | 2.33 | 1.214x |
| 4 | PyQuery | 20.61 | ~11x |
| 5 | Selectolax | 80.65 | ~42x |
| 6 | BS4 with Lxml | 1283.21 | ~698x |
| 7 | MechanicalSoup | 1304.57 | ~679x |
| 8 | BS4 with html5lib | 3331.96 | ~1735x |
|---|:-----------------:|:----------:|:------------:|
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.01 | 1.01x |
| 3 | Raw Lxml | 2.5 | 1.256x |
| 4 | PyQuery | 22.93 | ~11.5x |
| 5 | Selectolax | 80.57 | ~40.5x |
| 6 | BS4 with Lxml | 1541.37 | ~774.6x |
| 7 | MechanicalSoup | 1547.35 | ~777.6x |
| 8 | BS4 with html5lib | 3410.58 | ~1713.9x |
### أداء تشابه العناصر والبحث النصي
قدرات العثور على العناصر التكيفية لـ Scrapling تتفوق بشكل كبير على البدائل:
| المكتبة | الوقت (ms) | vs Scrapling |
|-------------|:---------:|:------------:|
| Scrapling | 1.87 | 1.0x |
| AutoScraper | 10.24 | 5.476x |
| المكتبة | الوقت (ms) | vs Scrapling |
|-------------|:----------:|:------------:|
| Scrapling | 2.46 | 1.0x |
| AutoScraper | 13.3 | 5.407x |
> تمثل جميع المعايير متوسطات أكثر من 100 تشغيل. انظر [benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py) للمنهجية.
docs/README_CN.md
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@@ -232,25 +232,26 @@ Scrapling不仅功能强大——它还速度极快，自0.3版本以来的更
### 文本提取速度测试（5000个嵌套元素）
| # | 库 | 时间(ms) | vs Scrapling |
|---|:--------------:|:--------:|:------------:|
| 1 | Scrapling | 1.92 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.036x |
| 3 | Raw Lxml | 2.33 | 1.214x |
| 4 | PyQuery | 20.61 | ~11x |
| 5 | Selectolax | 80.65 | ~42x |
| 6 | BS4 with Lxml | 1283.21 | ~698x |
| 7 | MechanicalSoup | 1304.57 | ~679x |
| 8 |BS4 with html5lib| 3331.96 | ~1735x |
| # | 库 | 时间(ms) | vs Scrapling |
|---|:-----------------:|:-------:|:------------:|
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.01 | 1.01x |
| 3 | Raw Lxml | 2.5 | 1.256x |
| 4 | PyQuery | 22.93 | ~11.5x |
| 5 | Selectolax | 80.57 | ~40.5x |
| 6 | BS4 with Lxml | 1541.37 | ~774.6x |
| 7 | MechanicalSoup | 1547.35 | ~777.6x |
| 8 | BS4 with html5lib | 3410.58 | ~1713.9x |
### 元素相似性和文本搜索性能
Scrapling的自适应元素查找功能明显优于替代方案：
| 库 | 时间(ms) | vs Scrapling |
|-------------|:--------:|:------------:|
| Scrapling | 1.87 | 1.0x |
| AutoScraper | 10.24 | 5.476x |
| 库 | 时间(ms) | vs Scrapling |
|-------------|:------:|:------------:|
| Scrapling | 2.46 | 1.0x |
| AutoScraper | 13.3 | 5.407x |
> 所有基准测试代表100+次运行的平均值。请参阅[benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py)了解方法。
docs/README_DE.md
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@@ -232,25 +232,26 @@ Scrapling ist nicht nur leistungsstark – es ist auch blitzschnell, und die Upd
### Textextraktions-Geschwindigkeitstest (5000 verschachtelte Elemente)
| # | Bibliothek | Zeit (ms) | vs Scrapling |
|---|:--------------------:|:---------:|:------------:|
| 1 | Scrapling | 1.92 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.036x |
| 3 | Raw Lxml | 2.33 | 1.214x |
| 4 | PyQuery | 20.61 | ~11x |
| 5 | Selectolax | 80.65 | ~42x |
| 6 | BS4 mit Lxml | 1283.21 | ~698x |
| 7 | MechanicalSoup | 1304.57 | ~679x |
| 8 | BS4 mit html5lib | 3331.96 | ~1735x |
| # | Bibliothek | Zeit (ms) | vs Scrapling |
|---|:-----------------:|:---------:|:------------:|
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.01 | 1.01x |
| 3 | Raw Lxml | 2.5 | 1.256x |
| 4 | PyQuery | 22.93 | ~11.5x |
| 5 | Selectolax | 80.57 | ~40.5x |
| 6 | BS4 with Lxml | 1541.37 | ~774.6x |
| 7 | MechanicalSoup | 1547.35 | ~777.6x |
| 8 | BS4 with html5lib | 3410.58 | ~1713.9x |
### Element-Ähnlichkeit & Textsuche-Leistung
Scraplings adaptive Element-Finding-Fähigkeiten übertreffen Alternativen deutlich:
| Bibliothek | Zeit (ms) | vs Scrapling |
| Bibliothek | Zeit (ms) | vs Scrapling |
|-------------|:---------:|:------------:|
| Scrapling | 1.87 | 1.0x |
| AutoScraper | 10.24 | 5.476x |
| Scrapling | 2.46 | 1.0x |
| AutoScraper | 13.3 | 5.407x |
> Alle Benchmarks stellen Durchschnittswerte von über 100 Durchläufen dar. Siehe [benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py) für die Methodik.
docs/README_ES.md
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@@ -232,25 +232,26 @@ Scrapling no solo es poderoso, también es increíblemente rápido, y las actual
### Prueba de Velocidad de Extracción de Texto (5000 elementos anidados)
| # | Biblioteca | Tiempo (ms) | vs Scrapling |
|---|:--------------------:|:-----------:|:------------:|
| 1 | Scrapling | 1.92 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.036x |
| 3 | Raw Lxml | 2.33 | 1.214x |
| 4 | PyQuery | 20.61 | ~11x |
| 5 | Selectolax | 80.65 | ~42x |
| 6 | BS4 con Lxml | 1283.21 | ~698x |
| 7 | MechanicalSoup | 1304.57 | ~679x |
| 8 | BS4 con html5lib | 3331.96 | ~1735x |
| # | Biblioteca | Tiempo (ms) | vs Scrapling |
|---|:-----------------:|:-----------:|:------------:|
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.01 | 1.01x |
| 3 | Raw Lxml | 2.5 | 1.256x |
| 4 | PyQuery | 22.93 | ~11.5x |
| 5 | Selectolax | 80.57 | ~40.5x |
| 6 | BS4 with Lxml | 1541.37 | ~774.6x |
| 7 | MechanicalSoup | 1547.35 | ~777.6x |
| 8 | BS4 with html5lib | 3410.58 | ~1713.9x |
### Rendimiento de Similitud de Elementos y Búsqueda de Texto
Las capacidades de búsqueda adaptativa de elementos de Scrapling superan significativamente a las alternativas:
| Biblioteca | Tiempo (ms) | vs Scrapling |
|--------------|:-----------:|:------------:|
| Scrapling | 1.87 | 1.0x |
| AutoScraper | 10.24 | 5.476x |
| Biblioteca | Tiempo (ms) | vs Scrapling |
|-------------|:-----------:|:------------:|
| Scrapling | 2.46 | 1.0x |
| AutoScraper | 13.3 | 5.407x |
> Todos los benchmarks representan promedios de más de 100 ejecuciones. Ver [benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py) para la metodología.
docs/README_JP.md
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@@ -232,25 +232,26 @@ Scraplingは強力であるだけでなく、驚くほど高速で、バージ
### テキスト抽出速度テスト（5000個のネストされた要素）
| # | ライブラリ | 時間(ms) | vs Scrapling |
|---|:-------------------:|:--------:|:------------:|
| 1 | Scrapling | 1.92 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.036x |
| 3 | Raw Lxml | 2.33 | 1.214x |
| 4 | PyQuery | 20.61 | ~11x |
| 5 | Selectolax | 80.65 | ~42x |
| 6 | BS4 with Lxml | 1283.21 | ~698x |
| 7 | MechanicalSoup | 1304.57 | ~679x |
| 8 | BS4 with html5lib | 3331.96 | ~1735x |
| # | ライブラリ | 時間(ms) | vs Scrapling |
|---|:-----------------:|:-------:|:------------:|
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.01 | 1.01x |
| 3 | Raw Lxml | 2.5 | 1.256x |
| 4 | PyQuery | 22.93 | ~11.5x |
| 5 | Selectolax | 80.57 | ~40.5x |
| 6 | BS4 with Lxml | 1541.37 | ~774.6x |
| 7 | MechanicalSoup | 1547.35 | ~777.6x |
| 8 | BS4 with html5lib | 3410.58 | ~1713.9x |
### 要素類似性とテキスト検索のパフォーマンス
Scraplingの適応型要素検索機能は代替手段を大幅に上回ります：
| ライブラリ | 時間(ms) | vs Scrapling |
|-------------|:--------:|:------------:|
| Scrapling | 1.87 | 1.0x |
| AutoScraper | 10.24 | 5.476x |
| ライブラリ | 時間(ms) | vs Scrapling |
|-------------|:------:|:------------:|
| Scrapling | 2.46 | 1.0x |
| AutoScraper | 13.3 | 5.407x |
> すべてのベンチマークは100回以上の実行の平均を表します。方法論については[benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py)を参照してください。
docs/README_RU.md
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@@ -232,25 +232,26 @@ Scrapling не только мощный - он также невероятно
### Тест скорости извлечения текста (5000 вложенных элементов)
| # | Библиотека | Время (мс) | vs Scrapling |
|---|:--------------------:|:----------:|:------------:|
| 1 | Scrapling | 1.92 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.036x |
| 3 | Raw Lxml | 2.33 | 1.214x |
| 4 | PyQuery | 20.61 | ~11x |
| 5 | Selectolax | 80.65 | ~42x |
| 6 | BS4 с Lxml | 1283.21 | ~698x |
| 7 | MechanicalSoup | 1304.57 | ~679x |
| 8 | BS4 с html5lib | 3331.96 | ~1735x |
| # | Библиотека | Время (мс) | vs Scrapling |
|---|:-----------------:|:----------:|:------------:|
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.01 | 1.01x |
| 3 | Raw Lxml | 2.5 | 1.256x |
| 4 | PyQuery | 22.93 | ~11.5x |
| 5 | Selectolax | 80.57 | ~40.5x |
| 6 | BS4 with Lxml | 1541.37 | ~774.6x |
| 7 | MechanicalSoup | 1547.35 | ~777.6x |
| 8 | BS4 with html5lib | 3410.58 | ~1713.9x |
### Производительность подобия элементов и текстового поиска
Возможности адаптивного поиска элементов Scrapling значительно превосходят альтернативы:
| Библиотека | Время (мс) | vs Scrapling |
| Библиотека | Время (мс) | vs Scrapling |
|-------------|:----------:|:------------:|
| Scrapling | 1.87 | 1.0x |
| AutoScraper | 10.24 | 5.476x |
| Scrapling | 2.46 | 1.0x |
| AutoScraper | 13.3 | 5.407x |
> Все тесты производительности представляют собой средние значения более 100 запусков. См. [benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py) для методологии.
docs/benchmarks.md
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@@ -8,20 +8,20 @@ Scrapling isn't just powerful—it's also blazing fast, and the updates since ve
| # | Library | Time (ms) | vs Scrapling |
|---|:-----------------:|:---------:|:------------:|
| 1 | Scrapling | 1.92 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.036x |
| 3 | Raw Lxml | 2.33 | 1.214x |
| 4 | PyQuery | 20.61 | ~11x |
| 5 | Selectolax | 80.65 | ~42x |
| 6 | BS4 with Lxml | 1283.21 | ~698x |
| 7 | MechanicalSoup | 1304.57 | ~679x |
| 8 | BS4 with html5lib | 3331.96 | ~1735x |
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.01 | 1.01x |
| 3 | Raw Lxml | 2.5 | 1.256x |
| 4 | PyQuery | 22.93 | ~11.5x |
| 5 | Selectolax | 80.57 | ~40.5x |
| 6 | BS4 with Lxml | 1541.37 | ~774.6x |
| 7 | MechanicalSoup | 1547.35 | ~777.6x |
| 8 | BS4 with html5lib | 3410.58 | ~1713.9x |
### Element Similarity & Text Search Performance
Scrapling's adaptive element finding capabilities significantly outperform alternatives:
| Library | Time (ms) | vs Scrapling |
| Library | Time (ms) | vs Scrapling |
|-------------|:---------:|:------------:|
| Scrapling | 1.87 | 1.0x |
| AutoScraper | 10.24 | 5.476x |
| Scrapling | 2.46 | 1.0x |
| AutoScraper | 13.3 | 5.407x |