--- title: "oneflow vs code-review-graph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/oneflow-inc-oneflow-vs-tirth8205-code-review-graph" tools: ["oneflow-inc-oneflow", "tirth8205-code-review-graph"] --- # oneflow vs code-review-graph *GraphCanon updated Sep 26, 2026* ## 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. [oneflow](http://www.oneflow.org) reports 9.4k GitHub stars, 1.0k forks, and 645 open issues, last pushed Dec 4, 2025. [code-review-graph](https://code-review-graph.com) has 32k stars, 2.9k forks, and 135 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [oneflow's repository](https://github.com/Oneflow-Inc/oneflow) and [code-review-graph's repository](https://github.com/tirth8205/code-review-graph). | | [oneflow](/tools/oneflow-inc-oneflow.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Tagline | OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient. | Local-first code intelligence graph for AI coding tools | | Stars | 9,436 | 31,569 | | Forks | 1,013 | 2,871 | | Open issues | 645 | 135 | | Language | C++ | Python | | Adopt for | 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 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 | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License | | Categories | Model Training | Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [oneflow](/tools/oneflow-inc-oneflow.md) | [code-review-graph](/tools/tirth8205-code-review-graph.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 296d | 1d | | Open issues (now) | 645 | 135 | | Stars delta | +16 (30d) | +5.1k (30d) | | Open issues delta | +1 (30d) | +13 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/oneflow-inc-oneflow/trust.md) | [trust report](/tools/tirth8205-code-review-graph/trust.md) | ## Shared compatibility - **Python**: [oneflow](/tools/oneflow-inc-oneflow.md) - Python runtime; [code-review-graph](/tools/tirth8205-code-review-graph.md) - Python runtime ## Decision facts: oneflow - **Adopt for:** OneFlow is a deep learning framework built for user-friendly, scalable, and efficient performance in model training, with support via CUDA installations. ## Decision facts: code-review-graph - **Requirements:** Requires Python 3.10+. - **Adopt for:** 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. - **License detail:** MIT License ## Choose when ### 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. ### 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 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 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. ## 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](/tools/oneflow-inc-oneflow/alternatives) and [code-review-graph alternatives](/tools/tirth8205-code-review-graph/alternatives) ([oneflow markdown twin](/tools/oneflow-inc-oneflow/alternatives.md), [code-review-graph markdown twin](/tools/tirth8205-code-review-graph/alternatives.md)), 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](/compare/oneflow-inc-oneflow-vs-tirth8205-code-review-graph.md) 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](/tools/oneflow-inc-oneflow/trust); [code-review-graph trust report](/tools/tirth8205-code-review-graph/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=oneflow-inc-oneflow`](/api/graphcanon/graph?tool=oneflow-inc-oneflow) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_