Comparison
knowledge-gpt vs Scrapegraph-ai
Verdict
Pick knowledge-gpt if knowledge-gpt: Python toolkit for indexing and Q&A sessions with info sources using GPT & transformers; pick Scrapegraph-ai if scrapegraph-ai is a Python-based scraping tool leveraging AI for smarter data extraction and search tasks.
Markdown twin · knowledge-gpt alternatives · Scrapegraph-ai alternatives
GraphCanon updated 5d
vs
Trust & integrity
| Signal | knowledge-gpt | Scrapegraph-ai |
|---|---|---|
| Maintenance | Dormant (1185d since push) As of 4w · github_public_v1 | Active (27d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of 5d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- knowledge-gpt
- Extract knowledge from all information sources using GPT and other language models. Index and conduct Q&A sessions with information sources.
- Scrapegraph-ai
- Python scraper based on AI
Stars
- knowledge-gpt
- 291
- Scrapegraph-ai
- 30k
Forks
- knowledge-gpt
- 52
- Scrapegraph-ai
- 2.9k
Open issues
- knowledge-gpt
- 8
- Scrapegraph-ai
- 12
Language
- knowledge-gpt
- Python
- Scrapegraph-ai
- Python
Adopt for
- knowledge-gpt
- knowledge-gpt: Python toolkit for indexing and Q&A sessions with info sources using GPT & transformers.
- Scrapegraph-ai
- Scrapegraph-ai is a Python-based scraping tool leveraging AI for smarter data extraction and search tasks.
Persona
- knowledge-gpt
- -
- Scrapegraph-ai
- -
Runtime
- knowledge-gpt
- -
- Scrapegraph-ai
- -
License
- knowledge-gpt
- MIT
- Scrapegraph-ai
- Scrapegraph-ai operates under the MIT License, offering users flexible rights for modification and distribution of the code.
Last pushed
- knowledge-gpt
- Apr 25, 2023
- Scrapegraph-ai
- Jul 20, 2026
Categories
- knowledge-gpt
- Data & Retrieval, Evaluation & Observability, LLM Frameworks, Model Training
- Scrapegraph-ai
- Data & Retrieval, LLM Frameworks
Trust and health
Maintenance
- knowledge-gpt
- Dormant (18%)
- Scrapegraph-ai
- Active (82%)
Days since push
- knowledge-gpt
- 1185d
- Scrapegraph-ai
- 27d
Open issues (now)
- knowledge-gpt
- 8
- Scrapegraph-ai
- 12
Stars delta
- knowledge-gpt
- Unknown
- Scrapegraph-ai
- +1.2k (30d)
Open issues delta
- knowledge-gpt
- Unknown
- Scrapegraph-ai
- +5 (30d)
Full report
- knowledge-gpt
- Trust report
- Scrapegraph-ai
- Trust report
Shared compatibility
- Python · knowledge-gpt: Python runtime · Scrapegraph-ai: Python runtime
Choose knowledge-gpt if…
- Tags unique to knowledge-gpt: context, embedding-vectors, gpt, huggingface-transformers.
- Also covers Evaluation & Observability, Model Training.
- When you need a flexible, model-agnostic approach for Q&A over diverse data sources
When NOT to use knowledge-gpt
- Avoid if strictly needing real-time response performance without indexing capabilities
- Not recommended if focusing solely on visual or multimedia content extraction
Choose Scrapegraph-ai if…
- 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..
- Tags unique to Scrapegraph-ai: ai-crawler, crawler, data-extraction, large-language-model.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (geeks-of-data/knowledge-gpt) · observed Jul 24, 2026
- GitHub forks (geeks-of-data/knowledge-gpt) · observed Jul 24, 2026
- Last push (geeks-of-data/knowledge-gpt) · observed Apr 25, 2023
- License file (MIT) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: knowledge-gpt 291 · Scrapegraph-ai 30k (synced Jul 24, 2026).
Common questions
- What is the difference between knowledge-gpt and Scrapegraph-ai?
- knowledge-gpt: Extract knowledge from all information sources using GPT and other language models. Index and conduct Q&A sessions with information sources.. Scrapegraph-ai: Python scraper based on AI. See the comparison table for live GitHub stats and shared categories.
- When should I choose knowledge-gpt over Scrapegraph-ai?
- Choose knowledge-gpt over Scrapegraph-ai when Tags unique to knowledge-gpt: context, embedding-vectors, gpt, huggingface-transformers; Also covers Evaluation & Observability, Model Training; When you need a flexible, model-agnostic approach for Q&A over diverse data sources.
- When should I choose Scrapegraph-ai over knowledge-gpt?
- Choose Scrapegraph-ai over knowledge-gpt when 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.; Tags unique to Scrapegraph-ai: ai-crawler, crawler, data-extraction, large-language-model; When you need advanced AI capabilities to parse and understand the context of scraped web content.
- When should I avoid knowledge-gpt?
- Avoid if strictly needing real-time response performance without indexing capabilities Not recommended if focusing solely on visual or multimedia content extraction
- 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
- Is knowledge-gpt or Scrapegraph-ai more popular on GitHub?
- Scrapegraph-ai has more GitHub stars (29,618 vs 291). Stars measure visibility, not whether either tool fits your constraints.
- Are knowledge-gpt and Scrapegraph-ai open source?
- Yes - both are open-source projects on GitHub (knowledge-gpt: MIT, Scrapegraph-ai: MIT).
- Where can I find alternatives to knowledge-gpt or Scrapegraph-ai?
- GraphCanon lists graph-backed alternatives at knowledge-gpt alternatives and Scrapegraph-ai alternatives (knowledge-gpt markdown twin, Scrapegraph-ai 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, knowledge-gpt or Scrapegraph-ai?
- knowledge-gpt: Dormant. Scrapegraph-ai: 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 knowledge-gpt and Scrapegraph-ai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: knowledge-gpt trust report; Scrapegraph-ai trust report.