Comparison
deepwiki-open vs code-review-graph
Verdict
Pick deepwiki-open if deepWiki-open is an AI-powered tool designed to automate documentation creation for repositories on GitHub, GitLab and Bitbucket; pick code-review-graph if code-review-graph provides a local-first code intelligence graph specifically for MCP and CLI, optimizing AI coding tool reviews by focusing on necessary contexts in large repositories.
Markdown twin · deepwiki-open alternatives · code-review-graph alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | deepwiki-open | code-review-graph |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 1mo · 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
- deepwiki-open
- AI-Powered Wiki Generator for Code Repositories
- code-review-graph
- Local-first code intelligence graph for MCP and CLI.
Stars
- deepwiki-open
- 18k
- code-review-graph
- 26k
Forks
- deepwiki-open
- 2.0k
- code-review-graph
- 2.5k
Open issues
- deepwiki-open
- 266
- code-review-graph
- 122
Language
- deepwiki-open
- Python
- code-review-graph
- Python
Adopt for
- deepwiki-open
- DeepWiki-open is an AI-powered tool designed to automate documentation creation for repositories on GitHub, GitLab and Bitbucket.
- code-review-graph
- code-review-graph provides a local-first code intelligence graph specifically for MCP and CLI, optimizing AI coding tool reviews by focusing on necessary contexts in large repositories.
Persona
- deepwiki-open
- -
- code-review-graph
- -
Runtime
- deepwiki-open
- -
- code-review-graph
- -
License
- deepwiki-open
- Releases under MIT License, allowing free use for both personal and commercial purposes as long as copyright and license notices are retained.
- code-review-graph
- MIT
Last pushed
- deepwiki-open
- Aug 12, 2026
- code-review-graph
- Jul 25, 2026
Categories
- deepwiki-open
- Developer Tools, LLM Frameworks
- code-review-graph
- Developer Tools, LLM Frameworks
Trust and health
Open issues (now)
- deepwiki-open
- 266
- code-review-graph
- 122
Owner type
- deepwiki-open
- Organization
- code-review-graph
- User
Full report
- deepwiki-open
- Trust report
- code-review-graph
- Trust report
Choose deepwiki-open if…
- Pricing: The basic version is available at no cost, with potential premium services not detailed in the repository..
- Requirements: Python environment must be set up; specific versions or dependencies are not provided in the README..
- Tags unique to deepwiki-open: ai, codex, gemini, github.
- deepwiki-open ships Docker support for self-hosted deployment.
- When you have a large codebase that requires automated yet comprehensive documentation generation without manual intervention.
When NOT to use deepwiki-open
- In scenarios where precise control over the wording of generated documentation is essential as DeepWiki-open relies on AI which may not always match human-specific nuance.
- If your team or organization avoids using external services for documenting projects due to data privacy concerns, since DeepWiki-open integrates with multiple third-party platforms.
Choose code-review-graph if…
- Tags unique to code-review-graph: ai-coding, claude, code-review, graphrag.
- When working with extensive codebases where context-specific reviews are essential
- More GitHub stars (26k vs 18k) - visibility, not fit.
When NOT to use code-review-graph
- For projects that do not benefit from a persistent map of codebase contexts, like small independent scripts
- If developers prefer cloud-based continuous integration setups over local-first solutions for code intelligence enhancement
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (AsyncFuncAI/deepwiki-open) · observed Aug 13, 2026
- GitHub forks (AsyncFuncAI/deepwiki-open) · observed Aug 13, 2026
- Last push (AsyncFuncAI/deepwiki-open) · observed Aug 12, 2026
- License file (MIT) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (tirth8205/code-review-graph) · observed Jul 26, 2026
- GitHub forks (tirth8205/code-review-graph) · observed Jul 26, 2026
- Last push (tirth8205/code-review-graph) · observed Jul 25, 2026
- License file (MIT) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: deepwiki-open 18k · code-review-graph 26k (synced Aug 13, 2026).
Common questions
- What is the difference between deepwiki-open and code-review-graph?
- deepwiki-open: AI-Powered Wiki Generator for Code Repositories. code-review-graph: Local-first code intelligence graph for MCP and CLI.. See the comparison table for live GitHub stats and shared categories.
- When should I choose deepwiki-open over code-review-graph?
- Choose deepwiki-open over code-review-graph when Pricing: The basic version is available at no cost, with potential premium services not detailed in the repository.; Requirements: Python environment must be set up; specific versions or dependencies are not provided in the README.; Tags unique to deepwiki-open: ai, codex, gemini, github; deepwiki-open ships Docker support for self-hosted deployment; When you have a large codebase that requires automated yet comprehensive documentation generation without manual intervention.
- When should I choose code-review-graph over deepwiki-open?
- Choose code-review-graph over deepwiki-open when Tags unique to code-review-graph: ai-coding, claude, code-review, graphrag; When working with extensive codebases where context-specific reviews are essential; More GitHub stars (26k vs 18k) - visibility, not fit.
- When should I avoid deepwiki-open?
- In scenarios where precise control over the wording of generated documentation is essential as DeepWiki-open relies on AI which may not always match human-specific nuance. If your team or organization avoids using external services for documenting projects due to data privacy concerns, since DeepWiki-open integrates with multiple third-party platforms.
- When should I avoid code-review-graph?
- For projects that do not benefit from a persistent map of codebase contexts, like small independent scripts If developers prefer cloud-based continuous integration setups over local-first solutions for code intelligence enhancement
- Is deepwiki-open or code-review-graph more popular on GitHub?
- code-review-graph has more GitHub stars (26,442 vs 17,638). Stars measure visibility, not whether either tool fits your constraints.
- Are deepwiki-open and code-review-graph open source?
- Yes - both are open-source projects on GitHub (deepwiki-open: MIT, code-review-graph: MIT).
- Where can I find alternatives to deepwiki-open or code-review-graph?
- GraphCanon lists graph-backed alternatives at deepwiki-open alternatives and code-review-graph alternatives (deepwiki-open markdown twin, code-review-graph 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, deepwiki-open or code-review-graph?
- deepwiki-open: Very active. code-review-graph: 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 deepwiki-open and code-review-graph?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: deepwiki-open trust report; code-review-graph trust report.