Comparison
llm vs modelz-llm
Verdict
Pick llm if decision-critical facts for 'llm'; pick modelz-llm if modelz-llm provides an OpenAI-compatible API for working with diverse language models and embeddings like LLaMA, Vicuna, ChatGLM without requiring direct integration with each model's custom APIs.
Markdown twin · llm alternatives · modelz-llm alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | llm | modelz-llm |
|---|---|---|
| Maintenance | Very active (2d since push) As of 1w · github_public_v1 | Dormant (1025d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 As of 1mo · 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
- llm
- Access large language models from the command-line
- modelz-llm
- OpenAI compatible API for LLMs and embeddings
Stars
- llm
- 12k
- modelz-llm
- 276
Forks
- llm
- 939
- modelz-llm
- 27
Open issues
- llm
- 664
- modelz-llm
- 12
Language
- llm
- Python
- modelz-llm
- Python
Adopt for
- llm
- Decision-critical facts for 'llm'
- modelz-llm
- Modelz-llm provides an OpenAI-compatible API for working with diverse language models and embeddings like LLaMA, Vicuna, ChatGLM without requiring direct integration with each model's custom APIs.
Persona
- llm
- -
- modelz-llm
- -
Runtime
- llm
- -
- modelz-llm
- -
License
- llm
- Apache-2.0
- modelz-llm
- Apache-2.0
Last pushed
- llm
- Aug 5, 2026
- modelz-llm
- Oct 11, 2023
Categories
- llm
- Inference & Serving, LLM Frameworks
- modelz-llm
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- llm
- Very active (96%)
- modelz-llm
- Dormant (18%)
Days since push
- llm
- 2d
- modelz-llm
- 1025d
Open issues (now)
- llm
- 664
- modelz-llm
- 12
Owner type
- llm
- User
- modelz-llm
- Organization
OSV dependency advisories
- llm
- No lockfile (source not queried)
- modelz-llm
- No published findings from this source as of 2026-07-11
Full report
- llm
- Trust report
- modelz-llm
- Trust report
Shared compatibility
- Python · llm: Python runtime · modelz-llm: Python runtime
Choose llm if…
- 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, openai.
- - 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.
Choose modelz-llm if…
- Tags unique to modelz-llm: llm, nlp, openai-api, transformer.
- When developers aim to implement multiple large language models within applications using a single consistent interface compatible with the OpenAI API schema
- Leaner open-issue backlog (12).
When NOT to use modelz-llm
- Avoid if your project specifically requires proprietary features only available in individual model APIs that are not covered by the OpenAI API compatibility offered by Modelz-llm
- If real-time updates to bleeding-edge models matter more than ease of integration, since Modelz-llm may lag slightly behind in updating its supported model versions
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (simonw/llm) · observed Aug 8, 2026
- GitHub forks (simonw/llm) · observed Aug 8, 2026
- Last push (simonw/llm) · observed Aug 5, 2026
- License file (Apache-2.0) · observed Aug 8, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tensorchord/modelz-llm) · observed Aug 2, 2026
- GitHub forks (tensorchord/modelz-llm) · observed Aug 2, 2026
- Last push (tensorchord/modelz-llm) · observed Oct 11, 2023
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: llm 12k · modelz-llm 276 (synced Aug 8, 2026).
Common questions
- What is the difference between llm and modelz-llm?
- llm: Access large language models from the command-line. modelz-llm: OpenAI compatible API for LLMs and embeddings. See the comparison table for live GitHub stats and shared categories.
- When should I choose llm over modelz-llm?
- Choose llm over modelz-llm when Requirements: - Installation supports multiple methods including
pip, Homebrew (with caveats noted),pipx, anduv.; - Requires an OpenAI API key for certain functionalities.; Tags unique to llm: ai, llms, openai; - 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 choose modelz-llm over llm?
- Choose modelz-llm over llm when Tags unique to modelz-llm: llm, nlp, openai-api, transformer; When developers aim to implement multiple large language models within applications using a single consistent interface compatible with the OpenAI API schema; Leaner open-issue backlog (12).
- 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.
- When should I avoid modelz-llm?
- Avoid if your project specifically requires proprietary features only available in individual model APIs that are not covered by the OpenAI API compatibility offered by Modelz-llm If real-time updates to bleeding-edge models matter more than ease of integration, since Modelz-llm may lag slightly behind in updating its supported model versions
- Is llm or modelz-llm more popular on GitHub?
- llm has more GitHub stars (12,324 vs 276). Stars measure visibility, not whether either tool fits your constraints.
- Are llm and modelz-llm open source?
- Yes - both are open-source projects on GitHub (llm: Apache-2.0, modelz-llm: Apache-2.0).
- Where can I find alternatives to llm or modelz-llm?
- GraphCanon lists graph-backed alternatives at llm alternatives and modelz-llm alternatives (llm markdown twin, modelz-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, llm or modelz-llm?
- llm: Very active. modelz-llm: Dormant. 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 llm and modelz-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: llm trust report; modelz-llm trust report.