--- title: "ColossalAI vs oneflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hpcaitech-colossalai-vs-oneflow-inc-oneflow" tools: ["hpcaitech-colossalai", "oneflow-inc-oneflow"] --- # ColossalAI vs oneflow *GraphCanon updated Aug 7, 2026* ## Verdict Pick ColossalAI if colossalAI is a Python library that leverages advanced parallelism techniques for more efficient and cost-effective development of large-scale AI models; 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. [ColossalAI](https://www.colossalai.org) reports 41k GitHub stars, 4.5k forks, and 505 open issues, last pushed Jul 13, 2026. [oneflow](http://www.oneflow.org) has 9.4k stars, 1.0k forks, and 644 open issues, last pushed Dec 4, 2025. Figures are from public GitHub metadata via [ColossalAI's repository](https://github.com/hpcaitech/ColossalAI) and [oneflow's repository](https://github.com/Oneflow-Inc/oneflow). | | [ColossalAI](/tools/hpcaitech-colossalai.md) | [oneflow](/tools/oneflow-inc-oneflow.md) | | --- | --- | --- | | Tagline | Making large AI models cheaper, faster and more accessible | OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient. | | Stars | 41,432 | 9,420 | | Forks | 4,506 | 1,013 | | Open issues | 505 | 644 | | Language | Python | C++ | | Adopt for | ColossalAI is a Python library that leverages advanced parallelism techniques for more efficient and cost-effective development of large-scale AI models. | OneFlow is a deep learning framework built for user-friendly, scalable, and efficient performance in model training, with support via CUDA installations. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Inference & Serving, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ColossalAI](/tools/hpcaitech-colossalai.md) | [oneflow](/tools/oneflow-inc-oneflow.md) | | --- | --- | --- | | Maintenance | Active (82%) | Slowing (36%) | | Days since push | 24d | 242d | | Open issues (now) | 505 | 644 | | Full report | [trust report](/tools/hpcaitech-colossalai/trust.md) | [trust report](/tools/oneflow-inc-oneflow/trust.md) | ## Shared compatibility - **Python**: [ColossalAI](/tools/hpcaitech-colossalai.md) - Python runtime; [oneflow](/tools/oneflow-inc-oneflow.md) - Python runtime ## Decision facts: ColossalAI - **Adopt for:** ColossalAI is a Python library that leverages advanced parallelism techniques for more efficient and cost-effective development of large-scale AI models. ## 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. ## Choose when ### Choose ColossalAI if… - ColossalAI is primarily Python; oneflow is C++. - Tags unique to ColossalAI: ai, big model, data-parallelism, distributed-computing. - Also covers Inference & Serving. - You require handling extremely large AI models with massive context windows, such as over 2M tokens. ### Choose oneflow if… - oneflow is primarily C++; ColossalAI is Python. - Tags unique to oneflow: cuda, distributed, machine-learning, neural-networks. - 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 ColossalAI - You are working in an environment that does not support Linux OS, as ColossalAI currently offers no support for other operating systems. - Your current CUDA version is less than 11.0 or your GPU compute capability is below 7.0 (pre-V100/RTX20 series). - You cannot satisfy the minimum hardware and software requirements specified, such as PyTorch >= 2.2 and Python >= 3.7. ## 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. ## Common questions ### What is the difference between ColossalAI and oneflow? ColossalAI: Making large AI models cheaper, faster and more accessible. oneflow: OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.. See the comparison table for live GitHub stats and shared categories. ### When should I choose ColossalAI over oneflow? Choose ColossalAI over oneflow when ColossalAI is primarily Python; oneflow is C++; Tags unique to ColossalAI: ai, big model, data-parallelism, distributed-computing; Also covers Inference & Serving; You require handling extremely large AI models with massive context windows, such as over 2M tokens. ### When should I choose oneflow over ColossalAI? Choose oneflow over ColossalAI when oneflow is primarily C++; ColossalAI is Python; Tags unique to oneflow: cuda, distributed, machine-learning, neural-networks; 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 avoid ColossalAI? You are working in an environment that does not support Linux OS, as ColossalAI currently offers no support for other operating systems. Your current CUDA version is less than 11.0 or your GPU compute capability is below 7.0 (pre-V100/RTX20 series). You cannot satisfy the minimum hardware and software requirements specified, such as PyTorch >= 2.2 and Python >= 3.7. ### 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. ### Is ColossalAI or oneflow more popular on GitHub? ColossalAI has more GitHub stars (41,432 vs 9,420). Stars measure visibility, not whether either tool fits your constraints. ### Are ColossalAI and oneflow open source? Yes - both are open-source projects on GitHub (ColossalAI: Apache-2.0, oneflow: Apache-2.0). ### Where can I find alternatives to ColossalAI or oneflow? GraphCanon lists graph-backed alternatives at [ColossalAI alternatives](/tools/hpcaitech-colossalai/alternatives) and [oneflow alternatives](/tools/oneflow-inc-oneflow/alternatives) ([ColossalAI markdown twin](/tools/hpcaitech-colossalai/alternatives.md), [oneflow markdown twin](/tools/oneflow-inc-oneflow/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/hpcaitech-colossalai-vs-oneflow-inc-oneflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ColossalAI or oneflow? ColossalAI: Active. oneflow: Slowing. 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 ColossalAI and oneflow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ColossalAI trust report](/tools/hpcaitech-colossalai/trust); [oneflow trust report](/tools/oneflow-inc-oneflow/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hpcaitech-colossalai`](/api/graphcanon/graph?tool=hpcaitech-colossalai) - 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/_