Home/Compare/openlm vs llm

Comparison

openlm vs llm

Verdict

Pick openlm if openLM is a flexible Python library designed to interface with various Language Model frameworks similarly to the OpenAI API; pick llm if decision-critical facts for 'llm'.

Markdown twin · openlm alternatives · llm alternatives

GraphCanon updated Sep 20, 2026

7views this month

openlm logo

openlm

r2d4/openlm

★ 368pushed May 19, 2023
vs
llm logo

llm

simonw/llm

★ 12kpushed Sep 2, 2026

Trust & integrity

Signalopenlmllm
Maintenance
Dormant (1219d since push)
As of Sep 20, 2026 · github_public_v1
Very active (4d since push)
As of Sep 7, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 7, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 11, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 11, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

openlm
OpenAI-compatible Python client for calling any LLM
llm
Access large language models from the command-line

Stars

openlm
368
llm
12k

Forks

openlm
22
llm
978

Open issues

openlm
1
llm
689

Language

openlm
Python
llm
Python

Adopt for

openlm
OpenLM is a flexible Python library designed to interface with various Language Model frameworks similarly to the OpenAI API.
llm
Decision-critical facts for 'llm'

Persona

openlm
-
llm
-

Runtime

openlm
-
llm
-

License

openlm
MIT License
llm
Apache-2.0

Last pushed

openlm
May 19, 2023
llm
Sep 2, 2026

Categories

openlm
LLM Frameworks
llm
Inference & Serving, LLM Frameworks

Trust and health

Maintenance

openlm
Dormant (18%)
llm
Very active (96%)

Days since push

openlm
1219d
llm
4d

Open issues (now)

openlm
1
llm
689

Stars delta

openlm
0 (30d)
llm
+149 (30d)

Open issues delta

openlm
0 (30d)
llm
+25 (30d)

OSV dependency advisories

openlm
Published findings
llm
No lockfile (source not queried)

Full report

Shared compatibility

  • Python · openlm: Python runtime · llm: Python runtime

Choose openlm if…

  • License: openlm is MIT, llm is Apache-2.0.
  • Requirements: Installation is as simple as using pip to install the openlm package..
  • Tags unique to openlm: cohere, huggingface, llm.
  • Use when you want to seamlessly integrate different LLM frameworks, like Hugging Face or Cohere, under a uniform interface similar to OpenAI’s.

When NOT to use openlm

  • Avoid when you require maximum performance optimization specific to one LLM framework, as using an intermediary library like OpenLM might introduce additional overhead.
  • Not suitable if you are strictly working with models that do not have Python support or don't fit within the frameworks supported by OpenLM.

Choose llm if…

  • License: llm is Apache-2.0, openlm is MIT.
  • Requirements: - Installation supports multiple methods including `pip`, Homebrew (with caveats noted), `pipx`, and `uv`.; - Requires an OpenAI API key for certain functionalities..
  • Tags unique to llm: ai, llms.
  • Also covers Inference & Serving.
  • - You prioritize command-line interaction over graphical interfaces, as llm is designed to provide a seamless CLI experience with multiple installation methods.

When NOT to use llm

  • - If you require real-time visual feedback or a graphical interface for interacting with language models, as llm is strictly command-line-based.
  • - If your primary focus is on model training rather than inference or serving, since llm is aimed at accessing and using pre-trained models.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: openlm 368 · llm 12k (synced Sep 20, 2026).

Common questions

What is the difference between openlm and llm?
openlm: OpenAI-compatible Python client for calling any LLM. llm: Access large language models from the command-line. See the comparison table for live GitHub stats and shared categories.
When should I choose openlm over llm?
Choose openlm over llm when License: openlm is MIT, llm is Apache-2.0; Requirements: Installation is as simple as using pip to install the openlm package.; Tags unique to openlm: cohere, huggingface, llm; Use when you want to seamlessly integrate different LLM frameworks, like Hugging Face or Cohere, under a uniform interface similar to OpenAI’s.
When should I choose llm over openlm?
Choose llm over openlm when License: llm is Apache-2.0, openlm is MIT; Requirements: - Installation supports multiple methods including pip, Homebrew (with caveats noted), pipx, and uv.; - Requires an OpenAI API key for certain functionalities.; Tags unique to llm: ai, llms; Also covers Inference & Serving; - You prioritize command-line interaction over graphical interfaces, as llm is designed to provide a seamless CLI experience with multiple installation methods.
When should I avoid openlm?
Avoid when you require maximum performance optimization specific to one LLM framework, as using an intermediary library like OpenLM might introduce additional overhead. Not suitable if you are strictly working with models that do not have Python support or don't fit within the frameworks supported by OpenLM.
When should I avoid llm?
- If you require real-time visual feedback or a graphical interface for interacting with language models, as llm is strictly command-line-based. - If your primary focus is on model training rather than inference or serving, since llm is aimed at accessing and using pre-trained models.
Is openlm or llm more popular on GitHub?
llm has more GitHub stars (12,473 vs 368). Stars measure visibility, not whether either tool fits your constraints.
Are openlm and llm open source?
Yes - both are open-source projects on GitHub (openlm: MIT, llm: Apache-2.0).
Where can I find alternatives to openlm or llm?
GraphCanon lists graph-backed alternatives at openlm alternatives and llm alternatives (openlm markdown twin, llm 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, openlm or llm?
openlm: Dormant. llm: 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 openlm and llm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: openlm trust report; llm trust report.

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