Comparison
contextualized-topic-models vs code-review-graph
Verdict
Pick contextualized-topic-models if contextualized-topic-models is a Python package that enhances traditional topic modeling by integrating contextualized embeddings like BERT; pick code-review-graph if code-review-graph is a Python-based tool that creates a local-first code intelligence graph to optimize AI coding tool interactions, reducing context and improving performance in code reviews and large-repo workflows.
Markdown twin · contextualized-topic-models alternatives · code-review-graph alternatives
GraphCanon updated Sep 20, 2026
5views this month
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Trust & integrity
| Signal | contextualized-topic-models | code-review-graph |
|---|---|---|
| Maintenance | Dormant (423d since push) As of Sep 20, 2026 · github_public_v1 | Very active (1d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- contextualized-topic-models
- A python package for contextualized topic modeling using BERT and other embeddings.
- code-review-graph
- Local-first code intelligence graph for AI coding tools
Stars
- contextualized-topic-models
- 1.3k
- code-review-graph
- 32k
Forks
- contextualized-topic-models
- 155
- code-review-graph
- 2.9k
Open issues
- contextualized-topic-models
- 11
- code-review-graph
- 135
Language
- contextualized-topic-models
- Python
- code-review-graph
- Python
Adopt for
- contextualized-topic-models
- Contextualized-topic-models is a Python package that enhances traditional topic modeling by integrating contextualized embeddings like BERT.
- code-review-graph
- code-review-graph is a Python-based tool that creates a local-first code intelligence graph to optimize AI coding tool interactions, reducing context and improving performance in code reviews and large-repo workflows.
Persona
- contextualized-topic-models
- -
- code-review-graph
- -
Runtime
- contextualized-topic-models
- -
- code-review-graph
- -
License
- contextualized-topic-models
- MIT
- code-review-graph
- MIT License
Last pushed
- contextualized-topic-models
- Jul 24, 2025
- code-review-graph
- Sep 17, 2026
Categories
- contextualized-topic-models
- Model Training
- code-review-graph
- Developer Tools, Model Training
Trust and health
Maintenance
- contextualized-topic-models
- Dormant (18%)
- code-review-graph
- Very active (96%)
Days since push
- contextualized-topic-models
- 423d
- code-review-graph
- 1d
Open issues (now)
- contextualized-topic-models
- 11
- code-review-graph
- 135
Stars delta
- contextualized-topic-models
- 0 (30d)
- code-review-graph
- +5.1k (30d)
Open issues delta
- contextualized-topic-models
- 0 (30d)
- code-review-graph
- +13 (30d)
Owner type
- contextualized-topic-models
- Organization
- code-review-graph
- User
Full report
- contextualized-topic-models
- Trust report
- code-review-graph
- Trust report
Shared compatibility
- Python · contextualized-topic-models: Python runtime · code-review-graph: Python runtime
Choose contextualized-topic-models if…
- Tags unique to contextualized-topic-models: bert, embeddings, multilingual-models, neural-topic-models.
- - When you need to analyze text data with enriched topic coherence provided by models utilizing BERT-like embeddings.
- Leaner open-issue backlog (11).
When NOT to use contextualized-topic-models
- - If your project does not require advanced contextual embedding integration and more conventional topic modeling techniques suffice.
- - In scenarios where model complexity can be a bottleneck for real-time processing or when working with hardware limitations that cannot efficiently process BERT embeddings.
Choose code-review-graph if…
- Requirements: Requires Python 3.10+..
- Tags unique to code-review-graph: ai-coding, claude, code-review, graph.
- Also covers Developer Tools.
- When you need to optimize AI coding tool interactions in large codebases, as it builds a persistent map of your codebase to reduce context and improve performance.
When NOT to use code-review-graph
- If your project does not require integration with multiple AI coding tools, as the tool is designed to work with a variety of platforms and may introduce unnecessary complexity.
- When you are working with small codebases where the overhead of building and maintaining a code intelligence graph outweighs the benefits.
- If you are using a language other than Python, as the tool is specifically designed for Python projects and may not support other languages as effectively.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (MilaNLProc/contextualized-topic-models) · observed Sep 20, 2026
- GitHub forks (MilaNLProc/contextualized-topic-models) · observed Sep 20, 2026
- Last push (MilaNLProc/contextualized-topic-models) · observed Jul 24, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tirth8205/code-review-graph) · observed Sep 20, 2026
- GitHub forks (tirth8205/code-review-graph) · observed Sep 20, 2026
- Last push (tirth8205/code-review-graph) · observed Sep 17, 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: contextualized-topic-models 1.3k · code-review-graph 32k (synced Sep 20, 2026).
Common questions
- What is the difference between contextualized-topic-models and code-review-graph?
- contextualized-topic-models: A python package for contextualized topic modeling using BERT and other embeddings.. code-review-graph: Local-first code intelligence graph for AI coding tools. See the comparison table for live GitHub stats and shared categories.
- When should I choose contextualized-topic-models over code-review-graph?
- Choose contextualized-topic-models over code-review-graph when Tags unique to contextualized-topic-models: bert, embeddings, multilingual-models, neural-topic-models; - When you need to analyze text data with enriched topic coherence provided by models utilizing BERT-like embeddings; Leaner open-issue backlog (11).
- When should I choose code-review-graph over contextualized-topic-models?
- Choose code-review-graph over contextualized-topic-models when Requirements: Requires Python 3.10+.; Tags unique to code-review-graph: ai-coding, claude, code-review, graph; Also covers Developer Tools; When you need to optimize AI coding tool interactions in large codebases, as it builds a persistent map of your codebase to reduce context and improve performance.
- When should I avoid contextualized-topic-models?
- - If your project does not require advanced contextual embedding integration and more conventional topic modeling techniques suffice. - In scenarios where model complexity can be a bottleneck for real-time processing or when working with hardware limitations that cannot efficiently process BERT embeddings.
- When should I avoid code-review-graph?
- If your project does not require integration with multiple AI coding tools, as the tool is designed to work with a variety of platforms and may introduce unnecessary complexity. When you are working with small codebases where the overhead of building and maintaining a code intelligence graph outweighs the benefits. If you are using a language other than Python, as the tool is specifically designed for Python projects and may not support other languages as effectively.
- Is contextualized-topic-models or code-review-graph more popular on GitHub?
- code-review-graph has more GitHub stars (31,569 vs 1,272). Stars measure visibility, not whether either tool fits your constraints.
- Are contextualized-topic-models and code-review-graph open source?
- Yes - both are open-source projects on GitHub (contextualized-topic-models: MIT, code-review-graph: MIT).
- Where can I find alternatives to contextualized-topic-models or code-review-graph?
- GraphCanon lists graph-backed alternatives at contextualized-topic-models alternatives and code-review-graph alternatives (contextualized-topic-models 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, contextualized-topic-models or code-review-graph?
- contextualized-topic-models: Dormant. 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 contextualized-topic-models and code-review-graph?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: contextualized-topic-models trust report; code-review-graph trust report.