skills/d4vinci__scrapling
1
0
Fork 0
mirror of https://github.com/D4Vinci/Scrapling.git synced 2026-09-14 20:07:02 +08:00
Code Issues Packages Projects Releases Wiki Activity

docs: update benchmarks results with the latest numbers

Browse Source
This commit is contained in:
Karim shoair
2026-08-09 21:14:53 +03:00
parent fad6893d66
commit b498fe7ee0
11 changed files with 110 additions and 110 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+10 -10
View File
@@ -450,14 +450,14 @@ Scrapling isn't just powerful-it's also blazing fast. The following benchmarks c
| # | Library | Time (ms) | vs Scrapling |
|---|:-----------------:|:---------:|:------------:|
| 1 | Scrapling | 1.98 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.005 |
| 3 | Raw Lxml | 2.48 | 1.253 |
| 4 | PyQuery | 23.15 | ~12x |
| 5 | Selectolax | 196.09 | ~99x |
| 6 | MechanicalSoup | 1531.24 | ~773.4x |
| 7 | BS4 with Lxml | 1535.19 | ~775.3x |
| 8 | BS4 with html5lib | 3388.16 | ~1711.2x |
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.06 | 1.035 |
| 3 | Raw Lxml | 2.56 | 1.286 |
| 4 | PyQuery | 23.98 | ~12x |
| 5 | Selectolax | 197.02 | ~99x |
| 6 | MechanicalSoup | 1545.15 | ~776.5x |
| 7 | BS4 with Lxml | 1562.1 | ~785.0x |
| 8 | BS4 with html5lib | 3412.73 | ~1714.9x |
### Element Similarity & Text Search Performance
@@ -466,8 +466,8 @@ Scrapling's adaptive element finding capabilities significantly outperform alter
| Library | Time (ms) | vs Scrapling |
|-------------|:---------:|:------------:|
| Scrapling | 2.29 | 1.0x |
| AutoScraper | 12.46 | 5.441x |
| Scrapling | 2.3 | 1.0x |
| AutoScraper | 12.58 | 5.47x |
> 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
+10 -10
View File
@@ -446,14 +446,14 @@ Scrapling ليس قوياً فحسب - بل هو أيضاً سريع بشكل م
| # | المكتبة | الوقت (ms) | vs Scrapling |
|---|:-----------------:|:----------:|:------------:|
| 1 | Scrapling | 1.98 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.005 |
| 3 | Raw Lxml | 2.48 | 1.253 |
| 4 | PyQuery | 23.15 | ~12x |
| 5 | Selectolax | 196.09 | ~99x |
| 6 | MechanicalSoup | 1531.24 | ~773.4x |
| 7 | BS4 with Lxml | 1535.19 | ~775.3x |
| 8 | BS4 with html5lib | 3388.16 | ~1711.2x |
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.06 | 1.035 |
| 3 | Raw Lxml | 2.56 | 1.286 |
| 4 | PyQuery | 23.98 | ~12x |
| 5 | Selectolax | 197.02 | ~99x |
| 6 | MechanicalSoup | 1545.15 | ~776.5x |
| 7 | BS4 with Lxml | 1562.1 | ~785.0x |
| 8 | BS4 with html5lib | 3412.73 | ~1714.9x |
### أداء تشابه العناصر والبحث النصي
@@ -462,8 +462,8 @@ Scrapling ليس قوياً فحسب - بل هو أيضاً سريع بشكل م
| المكتبة | الوقت (ms) | vs Scrapling |
|-------------|:----------:|:------------:|
| Scrapling | 2.29 | 1.0x |
| AutoScraper | 12.46 | 5.441x |
| Scrapling | 2.3 | 1.0x |
| AutoScraper | 12.58 | 5.47x |
> 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
+10 -10
View File
@@ -446,14 +446,14 @@ Scrapling 不仅功能强大--它还速度极快。以下基准测试将 Scrapli
| # | 库 | 时间 (ms) | vs Scrapling |
|---|:-----------------:|:---------:|:------------:|
| 1 | Scrapling | 1.98 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.005 |
| 3 | Raw Lxml | 2.48 | 1.253 |
| 4 | PyQuery | 23.15 | ~12x |
| 5 | Selectolax | 196.09 | ~99x |
| 6 | MechanicalSoup | 1531.24 | ~773.4x |
| 7 | BS4 with Lxml | 1535.19 | ~775.3x |
| 8 | BS4 with html5lib | 3388.16 | ~1711.2x |
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.06 | 1.035 |
| 3 | Raw Lxml | 2.56 | 1.286 |
| 4 | PyQuery | 23.98 | ~12x |
| 5 | Selectolax | 197.02 | ~99x |
| 6 | MechanicalSoup | 1545.15 | ~776.5x |
| 7 | BS4 with Lxml | 1562.1 | ~785.0x |
| 8 | BS4 with html5lib | 3412.73 | ~1714.9x |
### 元素相似性和文本搜索性能
@@ -462,8 +462,8 @@ 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 | 2.29 | 1.0x |
| AutoScraper | 12.46 | 5.441x |
| Scrapling | 2.3 | 1.0x |
| AutoScraper | 12.58 | 5.47x |
> 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
+10 -10
View File
@@ -446,14 +446,14 @@ Scrapling ist nicht nur leistungsstark -- es ist auch blitzschnell. Die folgende
| # | Bibliothek | Zeit (ms) | vs Scrapling |
|---|:-----------------:|:---------:|:------------:|
| 1 | Scrapling | 1.98 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.005 |
| 3 | Raw Lxml | 2.48 | 1.253 |
| 4 | PyQuery | 23.15 | ~12x |
| 5 | Selectolax | 196.09 | ~99x |
| 6 | MechanicalSoup | 1531.24 | ~773.4x |
| 7 | BS4 with Lxml | 1535.19 | ~775.3x |
| 8 | BS4 with html5lib | 3388.16 | ~1711.2x |
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.06 | 1.035 |
| 3 | Raw Lxml | 2.56 | 1.286 |
| 4 | PyQuery | 23.98 | ~12x |
| 5 | Selectolax | 197.02 | ~99x |
| 6 | MechanicalSoup | 1545.15 | ~776.5x |
| 7 | BS4 with Lxml | 1562.1 | ~785.0x |
| 8 | BS4 with html5lib | 3412.73 | ~1714.9x |
### Element-Ähnlichkeit & Textsuche-Leistung
@@ -462,8 +462,8 @@ Scraplings adaptive Element-Finding-Fähigkeiten übertreffen Alternativen deutl
| Bibliothek | Zeit (ms) | vs Scrapling |
|-------------|:---------:|:------------:|
| Scrapling | 2.29 | 1.0x |
| AutoScraper | 12.46 | 5.441x |
| Scrapling | 2.3 | 1.0x |
| AutoScraper | 12.58 | 5.47x |
> 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
+10 -10
View File
@@ -446,14 +446,14 @@ Scrapling no solo es potente, también es ultrarrápido. Los siguientes benchmar
| # | Biblioteca | Tiempo (ms) | vs Scrapling |
|---|:-----------------:|:-----------:|:------------:|
| 1 | Scrapling | 1.98 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.005 |
| 3 | Raw Lxml | 2.48 | 1.253 |
| 4 | PyQuery | 23.15 | ~12x |
| 5 | Selectolax | 196.09 | ~99x |
| 6 | MechanicalSoup | 1531.24 | ~773.4x |
| 7 | BS4 with Lxml | 1535.19 | ~775.3x |
| 8 | BS4 with html5lib | 3388.16 | ~1711.2x |
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.06 | 1.035 |
| 3 | Raw Lxml | 2.56 | 1.286 |
| 4 | PyQuery | 23.98 | ~12x |
| 5 | Selectolax | 197.02 | ~99x |
| 6 | MechanicalSoup | 1545.15 | ~776.5x |
| 7 | BS4 with Lxml | 1562.1 | ~785.0x |
| 8 | BS4 with html5lib | 3412.73 | ~1714.9x |
### Rendimiento de Similitud de Elementos y Búsqueda de Texto
@@ -462,8 +462,8 @@ Las capacidades de búsqueda adaptativa de elementos de Scrapling superan signif
| Biblioteca | Tiempo (ms) | vs Scrapling |
|-------------|:-----------:|:------------:|
| Scrapling | 2.29 | 1.0x |
| AutoScraper | 12.46 | 5.441x |
| Scrapling | 2.3 | 1.0x |
| AutoScraper | 12.58 | 5.47x |
> 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_FR.md
+10 -10
View File
@@ -446,14 +446,14 @@ Scrapling n'est pas seulement puissant - il est aussi ultra rapide. Les benchmar
| # | Bibliothèque | Temps (ms) | vs Scrapling |
|---|:-----------------:|:----------:|:------------:|
| 1 | Scrapling | 1.98 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.005 |
| 3 | Raw Lxml | 2.48 | 1.253 |
| 4 | PyQuery | 23.15 | ~12x |
| 5 | Selectolax | 196.09 | ~99x |
| 6 | MechanicalSoup | 1531.24 | ~773.4x |
| 7 | BS4 with Lxml | 1535.19 | ~775.3x |
| 8 | BS4 with html5lib | 3388.16 | ~1711.2x |
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.06 | 1.035 |
| 3 | Raw Lxml | 2.56 | 1.286 |
| 4 | PyQuery | 23.98 | ~12x |
| 5 | Selectolax | 197.02 | ~99x |
| 6 | MechanicalSoup | 1545.15 | ~776.5x |
| 7 | BS4 with Lxml | 1562.1 | ~785.0x |
| 8 | BS4 with html5lib | 3412.73 | ~1714.9x |
### Performance de similarité d'éléments & recherche textuelle
@@ -462,8 +462,8 @@ Les capacités adaptatives de recherche d'éléments de Scrapling surpassent sig
| Bibliothèque | Temps (ms) | vs Scrapling |
|--------------|:----------:|:------------:|
| Scrapling | 2.29 | 1.0x |
| AutoScraper | 12.46 | 5.441x |
| Scrapling | 2.3 | 1.0x |
| AutoScraper | 12.58 | 5.47x |
> Tous les benchmarks représentent des moyennes de plus de 100 exécutions. Voir [benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py) pour la méthodologie.
docs/README_JP.md
+10 -10
View File
@@ -446,14 +446,14 @@ Scrapling は強力であるだけでなく、超高速です。以下のベン
| # | ライブラリ | 時間 (ms) | vs Scrapling |
|---|:-----------------:|:---------:|:------------:|
| 1 | Scrapling | 1.98 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.005 |
| 3 | Raw Lxml | 2.48 | 1.253 |
| 4 | PyQuery | 23.15 | ~12x |
| 5 | Selectolax | 196.09 | ~99x |
| 6 | MechanicalSoup | 1531.24 | ~773.4x |
| 7 | BS4 with Lxml | 1535.19 | ~775.3x |
| 8 | BS4 with html5lib | 3388.16 | ~1711.2x |
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.06 | 1.035 |
| 3 | Raw Lxml | 2.56 | 1.286 |
| 4 | PyQuery | 23.98 | ~12x |
| 5 | Selectolax | 197.02 | ~99x |
| 6 | MechanicalSoup | 1545.15 | ~776.5x |
| 7 | BS4 with Lxml | 1562.1 | ~785.0x |
| 8 | BS4 with html5lib | 3412.73 | ~1714.9x |
### 要素類似性とテキスト検索のパフォーマンス
@@ -462,8 +462,8 @@ Scrapling の適応型要素検索機能は代替手段を大幅に上回りま
| ライブラリ | 時間 (ms) | vs Scrapling |
|-------------|:---------:|:------------:|
| Scrapling | 2.29 | 1.0x |
| AutoScraper | 12.46 | 5.441x |
| Scrapling | 2.3 | 1.0x |
| AutoScraper | 12.58 | 5.47x |
> 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_KR.md
+10 -10
View File
@@ -446,14 +446,14 @@ Scrapling은 강력할 뿐만 아니라 초고속입니다. 아래 벤치마크
| # | Library | Time (ms) | vs Scrapling |
|---|:-----------------:|:---------:|:------------:|
| 1 | Scrapling | 1.98 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.005 |
| 3 | Raw Lxml | 2.48 | 1.253 |
| 4 | PyQuery | 23.15 | ~12x |
| 5 | Selectolax | 196.09 | ~99x |
| 6 | MechanicalSoup | 1531.24 | ~773.4x |
| 7 | BS4 with Lxml | 1535.19 | ~775.3x |
| 8 | BS4 with html5lib | 3388.16 | ~1711.2x |
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.06 | 1.035 |
| 3 | Raw Lxml | 2.56 | 1.286 |
| 4 | PyQuery | 23.98 | ~12x |
| 5 | Selectolax | 197.02 | ~99x |
| 6 | MechanicalSoup | 1545.15 | ~776.5x |
| 7 | BS4 with Lxml | 1562.1 | ~785.0x |
| 8 | BS4 with html5lib | 3412.73 | ~1714.9x |
### 요소 유사도 & 텍스트 검색 성능
@@ -462,8 +462,8 @@ Scrapling의 적응형 요소 찾기 기능은 대안들을 크게 앞섭니다:
| Library | Time (ms) | vs Scrapling |
|-------------|:---------:|:------------:|
| Scrapling | 2.29 | 1.0x |
| AutoScraper | 12.46 | 5.441x |
| Scrapling | 2.3 | 1.0x |
| AutoScraper | 12.58 | 5.47x |
> 모든 벤치마크는 100회 이상 실행의 평균입니다. 측정 방법은 [benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py)를 참조하세요.
docs/README_PT_BR.md
+10 -10
View File
@@ -448,14 +448,14 @@ O Scrapling não é apenas poderoso - ele também é extremamente rápido. Os be
| # | Biblioteca | Tempo (ms) | vs Scrapling |
|---|:-----------------:|:----------:|:------------:|
| 1 | Scrapling | 1.98 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.005 |
| 3 | Raw Lxml | 2.48 | 1.253 |
| 4 | PyQuery | 23.15 | ~12x |
| 5 | Selectolax | 196.09 | ~99x |
| 6 | MechanicalSoup | 1531.24 | ~773.4x |
| 7 | BS4 with Lxml | 1535.19 | ~775.3x |
| 8 | BS4 with html5lib | 3388.16 | ~1711.2x |
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.06 | 1.035 |
| 3 | Raw Lxml | 2.56 | 1.286 |
| 4 | PyQuery | 23.98 | ~12x |
| 5 | Selectolax | 197.02 | ~99x |
| 6 | MechanicalSoup | 1545.15 | ~776.5x |
| 7 | BS4 with Lxml | 1562.1 | ~785.0x |
| 8 | BS4 with html5lib | 3412.73 | ~1714.9x |
### Desempenho de Similaridade de Elementos e Busca por Texto
@@ -464,8 +464,8 @@ Os recursos de localização adaptativa de elementos do Scrapling superam signif
| Biblioteca | Tempo (ms) | vs Scrapling |
|-------------|:----------:|:------------:|
| Scrapling | 2.29 | 1.0x |
| AutoScraper | 12.46 | 5.441x |
| Scrapling | 2.3 | 1.0x |
| AutoScraper | 12.58 | 5.47x |
> Todos os benchmarks representam médias de 100+ execuções. Veja [benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py) para a metodologia.
docs/README_RU.md
+10 -10
View File
@@ -448,14 +448,14 @@ Scrapling не только мощный - он ещё и невероятно
| # | Библиотека | Время (мс) | vs Scrapling |
|---|:-----------------:|:----------:|:------------:|
| 1 | Scrapling | 1.98 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.005 |
| 3 | Raw Lxml | 2.48 | 1.253 |
| 4 | PyQuery | 23.15 | ~12x |
| 5 | Selectolax | 196.09 | ~99x |
| 6 | MechanicalSoup | 1531.24 | ~773.4x |
| 7 | BS4 with Lxml | 1535.19 | ~775.3x |
| 8 | BS4 with html5lib | 3388.16 | ~1711.2x |
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.06 | 1.035 |
| 3 | Raw Lxml | 2.56 | 1.286 |
| 4 | PyQuery | 23.98 | ~12x |
| 5 | Selectolax | 197.02 | ~99x |
| 6 | MechanicalSoup | 1545.15 | ~776.5x |
| 7 | BS4 with Lxml | 1562.1 | ~785.0x |
| 8 | BS4 with html5lib | 3412.73 | ~1714.9x |
### Производительность подобия элементов и текстового поиска
@@ -464,8 +464,8 @@ Scrapling не только мощный - он ещё и невероятно
| Библиотека | Время (мс) | vs Scrapling |
|-------------|:----------:|:------------:|
| Scrapling | 2.29 | 1.0x |
| AutoScraper | 12.46 | 5.441x |
| Scrapling | 2.3 | 1.0x |
| AutoScraper | 12.58 | 5.47x |
> 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
+10 -10
View File
@@ -6,14 +6,14 @@ Scrapling isn't just powerful - it's also blazing fast. The following benchmarks
| # | Library | Time (ms) | vs Scrapling |
|---|:-----------------:|:---------:|:------------:|
| 1 | Scrapling | 1.98 | 1.0x |
| 2 | Parsel/Scrapy | 1.99 | 1.005 |
| 3 | Raw Lxml | 2.48 | 1.253 |
| 4 | PyQuery | 23.15 | ~12x |
| 5 | Selectolax | 196.09 | ~99x |
| 6 | MechanicalSoup | 1531.24 | ~773.4x |
| 7 | BS4 with Lxml | 1535.19 | ~775.3x |
| 8 | BS4 with html5lib | 3388.16 | ~1711.2x |
| 1 | Scrapling | 1.99 | 1.0x |
| 2 | Parsel/Scrapy | 2.06 | 1.035 |
| 3 | Raw Lxml | 2.56 | 1.286 |
| 4 | PyQuery | 23.98 | ~12x |
| 5 | Selectolax | 197.02 | ~99x |
| 6 | MechanicalSoup | 1545.15 | ~776.5x |
| 7 | BS4 with Lxml | 1562.1 | ~785.0x |
| 8 | BS4 with html5lib | 3412.73 | ~1714.9x |
### Element Similarity & Text Search Performance
@@ -22,7 +22,7 @@ Scrapling's adaptive element finding capabilities significantly outperform alter
| Library | Time (ms) | vs Scrapling |
|-------------|:---------:|:------------:|
| Scrapling | 2.29 | 1.0x |
| AutoScraper | 12.46 | 5.441x |
| Scrapling | 2.3 | 1.0x |
| AutoScraper | 12.58 | 5.47x |
> All benchmarks represent averages of 100+ runs. See [benchmarks.py](https://github.com/D4Vinci/Scrapling/blob/main/benchmarks.py) for methodology.