Comparison
oneflow vs code-review-graph
Verdict
Pick oneflow if oneFlow is a deep learning framework built for user-friendly, scalable, and efficient performance in model training, with support via CUDA installations; 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 · oneflow alternatives · code-review-graph alternatives
GraphCanon updated Sep 26, 2026
10views this month
vs
Trust & integrity
| Signal | oneflow | code-review-graph |
|---|---|---|
| Maintenance | Slowing (296d since push) As of Sep 26, 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 26, 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
- oneflow
- OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
- code-review-graph
- Local-first code intelligence graph for AI coding tools
Stars
- oneflow
- 9.4k
- code-review-graph
- 32k
Forks
- oneflow
- 1.0k
- code-review-graph
- 2.9k
Open issues
- oneflow
- 645
- code-review-graph
- 135
Language
- oneflow
- C++
- code-review-graph
- Python
Adopt for
- oneflow
- OneFlow is a deep learning framework built for user-friendly, scalable, and efficient performance in model training, with support via CUDA installations.
- 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
- oneflow
- -
- code-review-graph
- -
Runtime
- oneflow
- -
- code-review-graph
- -
License
- oneflow
- Apache-2.0
- code-review-graph
- MIT License
Last pushed
- oneflow
- Dec 4, 2025
- code-review-graph
- Sep 17, 2026
Categories
- oneflow
- Model Training
- code-review-graph
- Developer Tools, Model Training
Trust and health
Maintenance
- oneflow
- Slowing (36%)
- code-review-graph
- Very active (96%)
Days since push
- oneflow
- 296d
- code-review-graph
- 1d
Open issues (now)
- oneflow
- 645
- code-review-graph
- 135
Stars delta
- oneflow
- +16 (30d)
- code-review-graph
- +5.1k (30d)
Open issues delta
- oneflow
- +1 (30d)
- code-review-graph
- +13 (30d)
Owner type
- oneflow
- Organization
- code-review-graph
- User
Full report
- oneflow
- Trust report
- code-review-graph
- Trust report
Shared compatibility
- Python · oneflow: Python runtime · code-review-graph: Python runtime
Choose oneflow if…
- oneflow is primarily C++; code-review-graph is Python.
- License: oneflow is Apache-2.0, code-review-graph is MIT.
- Tags unique to oneflow: cuda, deep-learning, distributed, machine-learning.
- OneFlow is preferable when you need a user-friendly framework for both CPU and CUDA installations, aiming to streamline the deep learning workflow.
When NOT to use oneflow
- Avoid OneFlow if your project requires extensive customization features not natively supported, as switching to another framework might offer better flexibility.
- If the development environment lacks support for CUDA or Python3-based installation methods, consider an alternative framework that suits your hardware and software environment more closely.
- OneFlow may not be ideal when working in regions with difficulty accessing external libraries due to dependency management tailored towards certain geographic locations.
Choose code-review-graph if…
- code-review-graph is primarily Python; oneflow is C++.
- License: code-review-graph is MIT, oneflow is Apache-2.0.
- 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 (Oneflow-Inc/oneflow) · observed Sep 26, 2026
- GitHub forks (Oneflow-Inc/oneflow) · observed Sep 26, 2026
- Last push (Oneflow-Inc/oneflow) · observed Dec 4, 2025
- License file (Apache-2.0) · observed Sep 26, 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: oneflow 9.4k · code-review-graph 32k (synced Sep 26, 2026).
Common questions
- What is the difference between oneflow and code-review-graph?
- oneflow: OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.. 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 oneflow over code-review-graph?
- Choose oneflow over code-review-graph when oneflow is primarily C++; code-review-graph is Python; License: oneflow is Apache-2.0, code-review-graph is MIT; Tags unique to oneflow: cuda, deep-learning, distributed, machine-learning; OneFlow is preferable when you need a user-friendly framework for both CPU and CUDA installations, aiming to streamline the deep learning workflow.
- When should I choose code-review-graph over oneflow?
- Choose code-review-graph over oneflow when code-review-graph is primarily Python; oneflow is C++; License: code-review-graph is MIT, oneflow is Apache-2.0; 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 oneflow?
- Avoid OneFlow if your project requires extensive customization features not natively supported, as switching to another framework might offer better flexibility. If the development environment lacks support for CUDA or Python3-based installation methods, consider an alternative framework that suits your hardware and software environment more closely. OneFlow may not be ideal when working in regions with difficulty accessing external libraries due to dependency management tailored towards certain geographic locations.
- 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 oneflow or code-review-graph more popular on GitHub?
- code-review-graph has more GitHub stars (31,569 vs 9,436). Stars measure visibility, not whether either tool fits your constraints.
- Are oneflow and code-review-graph open source?
- Yes - both are open-source projects on GitHub (oneflow: Apache-2.0, code-review-graph: MIT).
- Where can I find alternatives to oneflow or code-review-graph?
- GraphCanon lists graph-backed alternatives at oneflow alternatives and code-review-graph alternatives (oneflow 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, oneflow or code-review-graph?
- oneflow: Slowing. 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 oneflow and code-review-graph?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: oneflow trust report; code-review-graph trust report.