Home/Compare/OneCompression vs lmdeploy

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

OneCompression logo

OneCompression

FujitsuResearch/OneCompression

396pushed Jul 6, 2026
vs
lmdeploy logo

lmdeploy

InternLM/lmdeploy

8.0kpushed Jul 10, 2026

Trust & integrity

SignalOneCompressionlmdeploy
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 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.