Comparison
OneCompression vs lmdeploy
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.
Markdown twin · OneCompression alternatives · lmdeploy alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | OneCompression | lmdeploy |
|---|---|---|
| Maintenance | Very active (5d since push) As of today · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of 1d · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of 1d · none |
Tagline
- OneCompression
- Python package for LLM compression
- lmdeploy
- LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
Stars
- OneCompression
- 396
- lmdeploy
- 8.0k
Forks
- OneCompression
- 18
- lmdeploy
- 703
Open issues
- OneCompression
- 6
- lmdeploy
- 597
Language
- OneCompression
- Python
- lmdeploy
- Python
Adopt for
- OneCompression
- -
- lmdeploy
- -
Persona
- OneCompression
- -
- lmdeploy
- -
Runtime
- OneCompression
- -
- lmdeploy
- -
License
- OneCompression
- MIT
- lmdeploy
- Apache-2.0
Last pushed
- OneCompression
- Jul 6, 2026
- lmdeploy
- Jul 10, 2026
Categories
- OneCompression
- Inference & Serving, LLM Frameworks, Model Training
- lmdeploy
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Days since push
- OneCompression
- 5d
- lmdeploy
- 0d
Open issues (now)
- OneCompression
- 6
- lmdeploy
- 597
Full report
- OneCompression
- Trust report
- lmdeploy
- Trust report
Shared compatibility
- Python · OneCompression: Python runtime · lmdeploy: Python runtime
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).
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (FujitsuResearch/OneCompression) · observed Jul 11, 2026
- GitHub forks (FujitsuResearch/OneCompression) · observed Jul 11, 2026
- Last push (FujitsuResearch/OneCompression) · observed Jul 6, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (InternLM/lmdeploy) · observed Jul 11, 2026
- GitHub forks (InternLM/lmdeploy) · observed Jul 11, 2026
- Last push (InternLM/lmdeploy) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: OneCompression 396 · lmdeploy 8.0k (synced Jul 11, 2026).
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 and lmdeploy alternatives (OneCompression markdown twin, lmdeploy markdown twin), 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 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; lmdeploy trust report.