Langfuse vs Scrapegraph-ai
Side-by-side comparison of two AI agent tools
Short answer
- Scrapegraph-ai has had no commit in 6 months; Langfuse is actively maintained (2,007 commits in the last 90 days).
- Pick Langfuse for: open-source LLM engineering platform for observability, evaluation, prompt and dataset management. Pick Scrapegraph-ai for: python scraper based on AI.
From GitHub data refreshed daily.
Langfuseopen-source
Open-source LLM engineering platform for observability, evaluation, prompt and dataset management
Scrapegraph-aiopen-source
Python scraper based on AI
Metrics
| Langfuse | Scrapegraph-ai | |
|---|---|---|
| Stars | 35.3k | 23.1k |
| Star velocity /mo | 1.8k | 1.9k |
| Commits (90d) | 2.0k | — |
| Releases (6m) | 10 | 10 |
| Overall score | 0.9067292616632036 | 0.6329451222482526 |
Pros
- +Open source with MIT license allowing full customization and transparency, plus active community support
- +Comprehensive feature set combining observability, prompt management, evaluations, and datasets in one platform
- +Extensive integrations with major LLM frameworks and tools including OpenTelemetry, LangChain, and OpenAI SDK
- +基于 LLM 的智能解析,无需手写复杂的选择器规则
- +支持多种数据格式(网站、XML、HTML、JSON、Markdown),具有广泛的适用性
- +自然语言交互方式,大幅降低使用门槛,提高开发效率
Cons
- -May require significant setup and configuration for self-hosted deployments
- -Could be overwhelming for simple use cases that only need basic LLM monitoring
- -Self-hosting requires technical expertise and infrastructure resources
- -依赖大语言模型,可能产生额外的 API 调用成本
- -AI 推理过程可能比传统爬虫速度较慢
- -对于大规模、高频率的数据抓取场景,性能可能不如专门优化的传统爬虫
Use Cases
- •Production LLM application monitoring to track performance, costs, and identify issues in real-time
- •Prompt engineering and management for teams collaborating on optimizing model prompts and tracking versions
- •LLM evaluation and testing to measure model performance across different datasets and use cases
- •电商网站产品信息批量提取和价格监控
- •新闻文章和博客内容的自动化采集和分析
- •企业数据迁移中多种格式文档的结构化数据提取
FAQ
- Which is more popular, Langfuse or Scrapegraph-ai?
- Langfuse has more GitHub stars (35,301 vs 23,140).
- Should I use Langfuse or Scrapegraph-ai?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.