--- title: "ColossalAI vs maid" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hpcaitech-colossalai-vs-mobile-artificial-intelligence-maid" tools: ["hpcaitech-colossalai", "mobile-artificial-intelligence-maid"] --- # ColossalAI vs maid *GraphCanon updated Jul 15, 2026* ## Verdict Pick ColossalAI when colossalAI is primarily Python; maid is TypeScript; pick maid when maid is primarily TypeScript; ColossalAI is Python. [ColossalAI](https://www.colossalai.org) reports 41k GitHub stars, 4.5k forks, and 499 open issues, last pushed Jul 13, 2026. [maid](https://github.com/Mobile-Artificial-Intelligence/maid) has 2.6k stars, 269 forks, and 11 open issues, last pushed Jul 7, 2026. Figures are from public GitHub metadata via [ColossalAI's repository](https://github.com/hpcaitech/ColossalAI) and [maid's repository](https://github.com/Mobile-Artificial-Intelligence/maid). | | [ColossalAI](/tools/hpcaitech-colossalai.md) | [maid](/tools/mobile-artificial-intelligence-maid.md) | | --- | --- | --- | | Tagline | Making large AI models cheaper, faster and more accessible | Maid is a free and open source application for interfacing with llama.cpp models locally, and with Anthropic, DeepSeek, Ollama, Mistral and OpenAI models remotely. | | Stars | 41,413 | 2,591 | | Forks | 4,502 | 269 | | Open issues | 499 | 11 | | Language | Python | TypeScript | | 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 | MIT | | Categories | Inference & Serving, Model Training | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ColossalAI](/tools/hpcaitech-colossalai.md) | [maid](/tools/mobile-artificial-intelligence-maid.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 8d | | Open issues (now) | 499 | 11 | | Full report | [trust report](/tools/hpcaitech-colossalai/trust.md) | [trust report](/tools/mobile-artificial-intelligence-maid/trust.md) | ## 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; maid is TypeScript. - License: ColossalAI is Apache-2.0, maid is MIT. - 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 maid if… - maid is primarily TypeScript; ColossalAI is Python. - License: maid is MIT, ColossalAI is Apache-2.0. - Tags unique to maid: android, anthropic, chatbot, chatgpt. ## 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 maid - 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 maid? ColossalAI: Making large AI models cheaper, faster and more accessible. maid: Maid is a free and open source application for interfacing with llama.cpp models locally, and with Anthropic, DeepSeek, Ollama, Mistral and OpenAI models remotely.. See the comparison table for live GitHub stats and shared categories. ### When should I choose ColossalAI over maid? Choose ColossalAI over maid when ColossalAI is primarily Python; maid is TypeScript; License: ColossalAI is Apache-2.0, maid is MIT; 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 maid over ColossalAI? Choose maid over ColossalAI when maid is primarily TypeScript; ColossalAI is Python; License: maid is MIT, ColossalAI is Apache-2.0; Tags unique to maid: android, anthropic, chatbot, chatgpt. ### 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 maid? Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### Is ColossalAI or maid more popular on GitHub? ColossalAI has more GitHub stars (41,413 vs 2,591). Stars measure visibility, not whether either tool fits your constraints. ### Are ColossalAI and maid open source? Yes - both are open-source projects on GitHub (ColossalAI: Apache-2.0, maid: MIT). ### Where can I find alternatives to ColossalAI or maid? GraphCanon lists graph-backed alternatives at [ColossalAI alternatives](/tools/hpcaitech-colossalai/alternatives) and [maid alternatives](/tools/mobile-artificial-intelligence-maid/alternatives) ([ColossalAI markdown twin](/tools/hpcaitech-colossalai/alternatives.md), [maid markdown twin](/tools/mobile-artificial-intelligence-maid/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-mobile-artificial-intelligence-maid.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ColossalAI or maid? ColossalAI: Very active. maid: 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 ColossalAI and maid? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ColossalAI trust report](/tools/hpcaitech-colossalai/trust); [maid trust report](/tools/mobile-artificial-intelligence-maid/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/_