Comparison
Scrapegraph-ai vs xberg
Verdict
Pick Scrapegraph-ai if scrapegraph-ai is a Python-based scraping tool leveraging AI for smarter data extraction and search tasks; pick xberg if xberg is a polyglot document intelligence framework with a Rust core, offering text and metadata extraction across various formats including PDFs, Office documents, and more than 97 other file types. It supports multiple.
Markdown twin · Scrapegraph-ai alternatives · xberg alternatives
GraphCanon updated 2d
vs
Trust & integrity
| Signal | Scrapegraph-ai | xberg |
|---|---|---|
| Maintenance | Active (27d since push) As of 4d · github_public_v1 | Very active (1d since push) As of 2d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization account As of 2d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Scrapegraph-ai
- Python scraper based on AI
- xberg
- A polyglot document intelligence framework with a Rust core
Stars
- Scrapegraph-ai
- 30k
- xberg
- 9.1k
Forks
- Scrapegraph-ai
- 2.9k
- xberg
- 562
Open issues
- Scrapegraph-ai
- 12
- xberg
- 13
Language
- Scrapegraph-ai
- Python
- xberg
- Rust
Adopt for
- Scrapegraph-ai
- Scrapegraph-ai is a Python-based scraping tool leveraging AI for smarter data extraction and search tasks.
- xberg
- xberg is a polyglot document intelligence framework with a Rust core, offering text and metadata extraction across various formats including PDFs, Office documents, and more than 97 other file types. It supports multiple
Persona
- Scrapegraph-ai
- -
- xberg
- -
Runtime
- Scrapegraph-ai
- -
- xberg
- -
License
- Scrapegraph-ai
- Scrapegraph-ai operates under the MIT License, offering users flexible rights for modification and distribution of the code.
- xberg
- MIT License allows for both free and commercial use with no need to disclose source code but requires attribution.
Last pushed
- Scrapegraph-ai
- Jul 20, 2026
- xberg
- Aug 16, 2026
Categories
- Scrapegraph-ai
- Data & Retrieval, LLM Frameworks
- xberg
- Data & Retrieval
Trust and health
Maintenance
- Scrapegraph-ai
- Active (82%)
- xberg
- Very active (96%)
Days since push
- Scrapegraph-ai
- 27d
- xberg
- 1d
Open issues (now)
- Scrapegraph-ai
- 12
- xberg
- 13
Stars delta
- Scrapegraph-ai
- +1.2k (30d)
- xberg
- +460 (30d)
Open issues delta
- Scrapegraph-ai
- +5 (30d)
- xberg
- -5 (30d)
OSV dependency advisories
- Scrapegraph-ai
- No lockfile (source not queried)
- xberg
- No published findings from this source as of 2026-07-11
Full report
- Scrapegraph-ai
- Trust report
- xberg
- Trust report
Typed relationship
Scrapegraph-ai alternative xbergBoth libraries handle data extraction, with Xberg focusing more on document intelligence while Scrapegraph-ai involves web scraping and integration with LLM.
Choose Scrapegraph-ai if…
- Scrapegraph-ai is primarily Python; xberg is Rust.
- Pricing: Free to use with potential charges for advanced features or premium services, as specified by its license..
- Requirements: Developed in Python and can leverage existing libraries and frameworks related to AI and web scraping..
- Both libraries handle data extraction, with Xberg focusing more on document intelligence while Scrapegraph-ai involves web scraping and integration with LLM.
- Tags unique to Scrapegraph-ai: ai-crawler, crawler, data-extraction, large-language-model.
- Also covers LLM Frameworks.
- Scrapegraph-ai ships Docker support for self-hosted deployment.
- When you need advanced AI capabilities to parse and understand the context of scraped web content.
When NOT to use Scrapegraph-ai
- If you have simple and straightforward data extraction needs that do not require AI-powered intelligence.
- When your project aims to scrape static or relatively unchanging datasets from websites with well-defined structures, as Scrapegraph-ai is more geared towards complex and dynamic scraping tasks where
Choose xberg if…
- xberg is primarily Rust; Scrapegraph-ai is Python.
- Pricing: Open-source MIT license; enterprise support is available..
- Requirements: xberg offers flexible deployment modes including CLI, REST API server, Docker container, and MCP integration.
- Both libraries handle data extraction, with Xberg focusing more on document intelligence while Scrapegraph-ai involves web scraping and integration with LLM.
- Tags unique to xberg: bun, csharp, document-intelligence, elixir.
- You need to extract not only text but also structured information such as images, tables from over 100 file formats
When NOT to use xberg
- You need a solution with lower resource requirements as xberg supports extensive formats and functionalities which might be overkill for simpler tasks
- Your primary use case involves real-time document processing where latency is critical. Given the breadth of its capabilities, xberg might introduce higher processing overhead compared to more focused
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ScrapeGraphAI/Scrapegraph-ai) · observed Aug 16, 2026
- GitHub forks (ScrapeGraphAI/Scrapegraph-ai) · observed Aug 16, 2026
- Last push (ScrapeGraphAI/Scrapegraph-ai) · observed Jul 20, 2026
- License file (MIT) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (xberg-io/xberg) · observed Aug 18, 2026
- GitHub forks (xberg-io/xberg) · observed Aug 18, 2026
- Last push (xberg-io/xberg) · observed Aug 16, 2026
- License file (MIT) · observed Aug 18, 2026
- Decision facts (enrichment) · observed Jul 10, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Scrapegraph-ai 30k · xberg 9.1k (synced Aug 16, 2026).
Common questions
- What is the difference between Scrapegraph-ai and xberg?
- Scrapegraph-ai: Python scraper based on AI. xberg: A polyglot document intelligence framework with a Rust core. See the comparison table for live GitHub stats and shared categories.
- When should I choose Scrapegraph-ai over xberg?
- Choose Scrapegraph-ai over xberg when Scrapegraph-ai is primarily Python; xberg is Rust; Pricing: Free to use with potential charges for advanced features or premium services, as specified by its license.; Requirements: Developed in Python and can leverage existing libraries and frameworks related to AI and web scraping.; Both libraries handle data extraction, with Xberg focusing more on document intelligence while Scrapegraph-ai involves web scraping and integration with LLM; Tags unique to Scrapegraph-ai: ai-crawler, crawler, data-extraction, large-language-model; Also covers LLM Frameworks; Scrapegraph-ai ships Docker support for self-hosted deployment; When you need advanced AI capabilities to parse and understand the context of scraped web content.
- When should I choose xberg over Scrapegraph-ai?
- Choose xberg over Scrapegraph-ai when xberg is primarily Rust; Scrapegraph-ai is Python; Pricing: Open-source MIT license; enterprise support is available.; Requirements: xberg offers flexible deployment modes including CLI, REST API server, Docker container, and MCP integration; Both libraries handle data extraction, with Xberg focusing more on document intelligence while Scrapegraph-ai involves web scraping and integration with LLM; Tags unique to xberg: bun, csharp, document-intelligence, elixir; You need to extract not only text but also structured information such as images, tables from over 100 file formats.
- When should I avoid Scrapegraph-ai?
- If you have simple and straightforward data extraction needs that do not require AI-powered intelligence. When your project aims to scrape static or relatively unchanging datasets from websites with well-defined structures, as Scrapegraph-ai is more geared towards complex and dynamic scraping tasks where
- When should I avoid xberg?
- You need a solution with lower resource requirements as xberg supports extensive formats and functionalities which might be overkill for simpler tasks Your primary use case involves real-time document processing where latency is critical. Given the breadth of its capabilities, xberg might introduce higher processing overhead compared to more focused
- Is Scrapegraph-ai or xberg more popular on GitHub?
- Scrapegraph-ai has more GitHub stars (29,618 vs 9,128). Stars measure visibility, not whether either tool fits your constraints.
- Are Scrapegraph-ai and xberg open source?
- Yes - both are open-source projects on GitHub (Scrapegraph-ai: MIT, xberg: MIT).
- Where can I find alternatives to Scrapegraph-ai or xberg?
- GraphCanon lists graph-backed alternatives at Scrapegraph-ai alternatives and xberg alternatives (Scrapegraph-ai markdown twin, xberg markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, Scrapegraph-ai or xberg?
- Scrapegraph-ai: Active. xberg: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for Scrapegraph-ai and xberg?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Scrapegraph-ai trust report; xberg trust report.