--- title: "ColossalAI vs hopsworks" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hpcaitech-colossalai-vs-logicalclocks-hopsworks" tools: ["hpcaitech-colossalai", "logicalclocks-hopsworks"] --- # ColossalAI vs hopsworks *GraphCanon updated Jul 11, 2026* ## Verdict Pick ColossalAI when colossalAI is primarily Python; hopsworks is Java; pick hopsworks when hopsworks is primarily Java; ColossalAI is Python. [ColossalAI](https://www.colossalai.org) reports 41k GitHub stars, 4.5k forks, and 501 open issues, last pushed May 25, 2026. [hopsworks](https://hopsworks.ai) has 1.3k stars, 158 forks, and 16 open issues, last pushed Feb 10, 2025. Figures are from public GitHub metadata via [ColossalAI's repository](https://github.com/hpcaitech/ColossalAI) and [hopsworks's repository](https://github.com/logicalclocks/hopsworks). | | [ColossalAI](/tools/hpcaitech-colossalai.md) | [hopsworks](/tools/logicalclocks-hopsworks.md) | | --- | --- | --- | | Tagline | Making large AI models cheaper, faster and more accessible | Hopsworks - Data-Intensive AI platform with a Feature Store | | Stars | 41,408 | 1,303 | | Forks | 4,504 | 158 | | Open issues | 501 | 16 | | Language | Python | Java | | Adopt for | ColossalAI is a Python library that leverages advanced parallelism techniques for more efficient and cost-effective development of large-scale AI models. | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | AGPL-3.0 | | Categories | Inference & Serving, Model Training | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ColossalAI](/tools/hpcaitech-colossalai.md) | [hopsworks](/tools/logicalclocks-hopsworks.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 46d | 516d | | Open issues (now) | 501 | 16 | | Full report | [trust report](/tools/hpcaitech-colossalai/trust.md) | [trust report](/tools/logicalclocks-hopsworks/trust.md) | ## Shared compatibility - **Python**: [ColossalAI](/tools/hpcaitech-colossalai.md) - Python runtime; [hopsworks](/tools/logicalclocks-hopsworks.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. ## Choose when ### Choose ColossalAI if… - ColossalAI is primarily Python; hopsworks is Java. - License: ColossalAI is Apache-2.0, hopsworks is AGPL-3.0. - Tags unique to ColossalAI: ai, big model, data-parallelism, deep-learning. - Also covers Model Training. - You require handling extremely large AI models with massive context windows, such as over 2M tokens. ### Choose hopsworks if… - hopsworks is primarily Java; ColossalAI is Python. - License: hopsworks is AGPL-3.0, ColossalAI is Apache-2.0. - Tags unique to hopsworks: aws, azure, data-science, feature-engineering. ## 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 hopsworks - Last GitHub push was 517 days ago (dormant maintenance, Feb 10, 2025). Validate activity before betting a new project on hopsworks. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## Common questions ### What is the difference between ColossalAI and hopsworks? ColossalAI: Making large AI models cheaper, faster and more accessible. hopsworks: Hopsworks - Data-Intensive AI platform with a Feature Store. See the comparison table for live GitHub stats and shared categories. ### When should I choose ColossalAI over hopsworks? Choose ColossalAI over hopsworks when ColossalAI is primarily Python; hopsworks is Java; License: ColossalAI is Apache-2.0, hopsworks is AGPL-3.0; Tags unique to ColossalAI: ai, big model, data-parallelism, deep-learning; Also covers Model Training; You require handling extremely large AI models with massive context windows, such as over 2M tokens. ### When should I choose hopsworks over ColossalAI? Choose hopsworks over ColossalAI when hopsworks is primarily Java; ColossalAI is Python; License: hopsworks is AGPL-3.0, ColossalAI is Apache-2.0; Tags unique to hopsworks: aws, azure, data-science, feature-engineering. ### 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 hopsworks? Last GitHub push was 517 days ago (dormant maintenance, Feb 10, 2025). Validate activity before betting a new project on hopsworks. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is ColossalAI or hopsworks more popular on GitHub? ColossalAI has more GitHub stars (41,408 vs 1,303). Stars measure visibility, not whether either tool fits your constraints. ### Are ColossalAI and hopsworks open source? Yes - both are open-source projects on GitHub (ColossalAI: Apache-2.0, hopsworks: AGPL-3.0). ### Where can I find alternatives to ColossalAI or hopsworks? GraphCanon lists graph-backed alternatives at [ColossalAI alternatives](/tools/hpcaitech-colossalai/alternatives) and [hopsworks alternatives](/tools/logicalclocks-hopsworks/alternatives) ([ColossalAI markdown twin](/tools/hpcaitech-colossalai/alternatives.md), [hopsworks markdown twin](/tools/logicalclocks-hopsworks/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-logicalclocks-hopsworks.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ColossalAI or hopsworks? ColossalAI: Steady. hopsworks: Dormant. 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 hopsworks? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ColossalAI trust report](/tools/hpcaitech-colossalai/trust); [hopsworks trust report](/tools/logicalclocks-hopsworks/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/_