Comparison
generative_ai_with_langchain vs PentestGPT
Verdict
Pick generative_ai_with_langchain if the `generative_ai_with_langchain` repository provides comprehensive companionship to a book on building production-level LLM applications and AI agents with LangChain; pick PentestGPT if pentestGPT is a Python-based automated penetration testing framework that uses large language models for security testing.
Markdown twin · generative_ai_with_langchain alternatives · PentestGPT alternatives
GraphCanon updated Sep 20, 2026
7views this month
vs
Trust & integrity
| Signal | generative_ai_with_langchain | PentestGPT |
|---|---|---|
| Maintenance | Active (24d since push) As of Sep 7, 2026 · github_public_v1 | Steady (65d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 7, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · 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
- generative_ai_with_langchain
- Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph
- PentestGPT
- Automated Penetration Testing Agentic Framework Powered by Large Language Models
Stars
- generative_ai_with_langchain
- 1.4k
- PentestGPT
- 16k
Forks
- generative_ai_with_langchain
- 586
- PentestGPT
- 2.7k
Open issues
- generative_ai_with_langchain
- 0
- PentestGPT
- 81
Language
- generative_ai_with_langchain
- Jupyter Notebook
- PentestGPT
- Python
Adopt for
- generative_ai_with_langchain
- The `generative_ai_with_langchain` repository provides comprehensive companionship to a book on building production-level LLM applications and AI agents with LangChain.
- PentestGPT
- PentestGPT is a Python-based automated penetration testing framework that uses large language models for security testing.
Persona
- generative_ai_with_langchain
- -
- PentestGPT
- -
Runtime
- generative_ai_with_langchain
- -
- PentestGPT
- -
License
- generative_ai_with_langchain
- MIT
- PentestGPT
- MIT License, for educational and authorized security testing only, use at your own risk.
Last pushed
- generative_ai_with_langchain
- Aug 14, 2026
- PentestGPT
- Jul 14, 2026
Categories
- generative_ai_with_langchain
- AI Agents, LLM Frameworks
- PentestGPT
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- generative_ai_with_langchain
- Active (82%)
- PentestGPT
- Steady (60%)
Days since push
- generative_ai_with_langchain
- 24d
- PentestGPT
- 65d
Open issues (now)
- generative_ai_with_langchain
- 0
- PentestGPT
- 81
Stars delta
- generative_ai_with_langchain
- +14 (30d)
- PentestGPT
- +614 (30d)
Open issues delta
- generative_ai_with_langchain
- 0 (30d)
- PentestGPT
- +16 (30d)
OSV dependency advisories
- generative_ai_with_langchain
- Published findings
- PentestGPT
- No lockfile (source not queried)
Full report
- generative_ai_with_langchain
- Trust report
- PentestGPT
- Trust report
Choose generative_ai_with_langchain if…
- generative_ai_with_langchain is primarily Jupyter Notebook; PentestGPT is Python.
- Tags unique to generative_ai_with_langchain: agent, chatgpt, claude, claude-3-5-sonnet.
- - When aiming for building robust, advanced language model applications in Python using the LangChain framework.
When NOT to use generative_ai_with_langchain
- - If you are seeking a toolkit that does not deeply integrate with Python or requires less dependency on specific frameworks like LangChain.
- - When your project specifically avoids the use of advanced agent implementations or you prefer more generalized LLM application development strategies without heavy reliance on LangGraph.
Choose PentestGPT if…
- PentestGPT is primarily Python; generative_ai_with_langchain is Jupyter Notebook.
- Tags unique to PentestGPT: automated-testing, docker, large-language-models, large-language-models-integration.
- When you need an automated penetration testing tool that leverages large language models for enhanced security analysis.
When NOT to use PentestGPT
- If your project requires a tool that does not use large language models for penetration testing.
- When you need a tool that does not support Docker or does not offer persistent login sessions.
- For unauthorized security testing or any illegal activities, as the tool is strictly for educational and authorized testing.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (benman1/generative_ai_with_langchain) · observed Sep 20, 2026
- GitHub forks (benman1/generative_ai_with_langchain) · observed Sep 20, 2026
- Last push (benman1/generative_ai_with_langchain) · observed Aug 14, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (GreyDGL/PentestGPT) · observed Sep 20, 2026
- GitHub forks (GreyDGL/PentestGPT) · observed Sep 20, 2026
- Last push (GreyDGL/PentestGPT) · observed Jul 14, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: generative_ai_with_langchain 1.4k · PentestGPT 16k (synced Sep 20, 2026).
Common questions
- What is the difference between generative_ai_with_langchain and PentestGPT?
- generative_ai_with_langchain: Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph. PentestGPT: Automated Penetration Testing Agentic Framework Powered by Large Language Models. See the comparison table for live GitHub stats and shared categories.
- When should I choose generative_ai_with_langchain over PentestGPT?
- Choose generative_ai_with_langchain over PentestGPT when generative_ai_with_langchain is primarily Jupyter Notebook; PentestGPT is Python; Tags unique to generative_ai_with_langchain: agent, chatgpt, claude, claude-3-5-sonnet; - When aiming for building robust, advanced language model applications in Python using the LangChain framework.
- When should I choose PentestGPT over generative_ai_with_langchain?
- Choose PentestGPT over generative_ai_with_langchain when PentestGPT is primarily Python; generative_ai_with_langchain is Jupyter Notebook; Tags unique to PentestGPT: automated-testing, docker, large-language-models, large-language-models-integration; When you need an automated penetration testing tool that leverages large language models for enhanced security analysis.
- When should I avoid generative_ai_with_langchain?
- - If you are seeking a toolkit that does not deeply integrate with Python or requires less dependency on specific frameworks like LangChain. - When your project specifically avoids the use of advanced agent implementations or you prefer more generalized LLM application development strategies without heavy reliance on LangGraph.
- When should I avoid PentestGPT?
- If your project requires a tool that does not use large language models for penetration testing. When you need a tool that does not support Docker or does not offer persistent login sessions. For unauthorized security testing or any illegal activities, as the tool is strictly for educational and authorized testing.
- Is generative_ai_with_langchain or PentestGPT more popular on GitHub?
- PentestGPT has more GitHub stars (15,514 vs 1,414). Stars measure visibility, not whether either tool fits your constraints.
- Are generative_ai_with_langchain and PentestGPT open source?
- Yes - both are open-source projects on GitHub (generative_ai_with_langchain: MIT, PentestGPT: MIT).
- Where can I find alternatives to generative_ai_with_langchain or PentestGPT?
- GraphCanon lists graph-backed alternatives at generative_ai_with_langchain alternatives and PentestGPT alternatives (generative_ai_with_langchain markdown twin, PentestGPT 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, generative_ai_with_langchain or PentestGPT?
- generative_ai_with_langchain: Active. PentestGPT: Steady. 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 generative_ai_with_langchain and PentestGPT?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: generative_ai_with_langchain trust report; PentestGPT trust report.