--- title: "OneCompression vs lmdeploy" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/fujitsuresearch-onecompression-vs-internlm-lmdeploy" tools: ["fujitsuresearch-onecompression", "internlm-lmdeploy"] --- # OneCompression vs lmdeploy *GraphCanon updated Jul 12, 2026* ## Verdict Pick OneCompression when license: OneCompression is MIT, lmdeploy is Apache-2.0; pick lmdeploy when license: lmdeploy is Apache-2.0, OneCompression is MIT. [OneCompression](https://fujitsuresearch.github.io/OneCompression/) reports 396 GitHub stars, 18 forks, and 6 open issues, last pushed Jul 6, 2026. [lmdeploy](https://lmdeploy.readthedocs.io/en/latest) has 8.0k stars, 703 forks, and 597 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [OneCompression's repository](https://github.com/FujitsuResearch/OneCompression) and [lmdeploy's repository](https://github.com/InternLM/lmdeploy). | | [OneCompression](/tools/fujitsuresearch-onecompression.md) | [lmdeploy](/tools/internlm-lmdeploy.md) | | --- | --- | --- | | Tagline | Python package for LLM compression | LMDeploy is a toolkit for compressing, deploying, and serving LLMs. | | Stars | 396 | 7,952 | | Forks | 18 | 703 | | Open issues | 6 | 597 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Inference & Serving, LLM Frameworks, Model Training | Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [OneCompression](/tools/fujitsuresearch-onecompression.md) | [lmdeploy](/tools/internlm-lmdeploy.md) | | --- | --- | --- | | Days since push | 5d | 0d | | Open issues (now) | 6 | 597 | | Full report | [trust report](/tools/fujitsuresearch-onecompression/trust.md) | [trust report](/tools/internlm-lmdeploy/trust.md) | ## Shared compatibility - **Python**: [OneCompression](/tools/fujitsuresearch-onecompression.md) - Python runtime; [lmdeploy](/tools/internlm-lmdeploy.md) - Python runtime ## Choose when ### Choose OneCompression if… - License: OneCompression is MIT, lmdeploy is Apache-2.0. - Tags unique to OneCompression: llm, python, qep, quantization. - Leaner open-issue backlog (6). ### Choose lmdeploy if… - License: lmdeploy is Apache-2.0, OneCompression is MIT. - Tags unique to lmdeploy: codellama, cuda-kernels, deepspeed, fastertransformer. - More GitHub stars (8.0k vs 396) - visibility, not fit. ## When NOT to use OneCompression - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use lmdeploy - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between OneCompression and lmdeploy? OneCompression: Python package for LLM compression. lmdeploy: LMDeploy is a toolkit for compressing, deploying, and serving LLMs.. See the comparison table for live GitHub stats and shared categories. ### When should I choose OneCompression over lmdeploy? Choose OneCompression over lmdeploy when License: OneCompression is MIT, lmdeploy is Apache-2.0; Tags unique to OneCompression: llm, python, qep, quantization; Leaner open-issue backlog (6). ### When should I choose lmdeploy over OneCompression? Choose lmdeploy over OneCompression when License: lmdeploy is Apache-2.0, OneCompression is MIT; Tags unique to lmdeploy: codellama, cuda-kernels, deepspeed, fastertransformer; More GitHub stars (8.0k vs 396) - visibility, not fit. ### When should I avoid OneCompression? Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid lmdeploy? Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is OneCompression or lmdeploy more popular on GitHub? lmdeploy has more GitHub stars (7,952 vs 396). Stars measure visibility, not whether either tool fits your constraints. ### Are OneCompression and lmdeploy open source? Yes - both are open-source projects on GitHub (OneCompression: MIT, lmdeploy: Apache-2.0). ### Where can I find alternatives to OneCompression or lmdeploy? GraphCanon lists graph-backed alternatives at [OneCompression alternatives](/tools/fujitsuresearch-onecompression/alternatives) and [lmdeploy alternatives](/tools/internlm-lmdeploy/alternatives) ([OneCompression markdown twin](/tools/fujitsuresearch-onecompression/alternatives.md), [lmdeploy markdown twin](/tools/internlm-lmdeploy/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/fujitsuresearch-onecompression-vs-internlm-lmdeploy.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, OneCompression or lmdeploy? OneCompression: Very active. lmdeploy: 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 OneCompression and lmdeploy? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [OneCompression trust report](/tools/fujitsuresearch-onecompression/trust); [lmdeploy trust report](/tools/internlm-lmdeploy/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=fujitsuresearch-onecompression`](/api/graphcanon/graph?tool=fujitsuresearch-onecompression) - 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/_