Comparison
awesome-local-llm vs openmodelz
Verdict
Pick awesome-local-llm if awesome-local-llm is a curated list of resources for the local operation of large language models; pick openmodelz if openModelZ automates and scales large language model inferences on Kubernetes.
Markdown twin · awesome-local-llm alternatives · openmodelz alternatives
GraphCanon updated Sep 29, 2026
16views this month
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Trust & integrity
| Signal | awesome-local-llm | openmodelz |
|---|---|---|
| Maintenance | Very active (6d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (1060d since push) As of Sep 29, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 29, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | Published findings 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
- awesome-local-llm
- Resources for running LLMs locally
- openmodelz
- Automate and scale inference of large language models on Kubernetes.
Stars
- awesome-local-llm
- 2.9k
- openmodelz
- 284
Forks
- awesome-local-llm
- 388
- openmodelz
- 26
Open issues
- awesome-local-llm
- 169
- openmodelz
- 23
Language
- awesome-local-llm
- -
- openmodelz
- Go
Adopt for
- awesome-local-llm
- awesome-local-llm is a curated list of resources for the local operation of large language models.
- openmodelz
- OpenModelZ automates and scales large language model inferences on Kubernetes.
Persona
- awesome-local-llm
- -
- openmodelz
- -
Runtime
- awesome-local-llm
- -
- openmodelz
- -
License
- awesome-local-llm
- MIT License
- openmodelz
- Apache-2.0
Last pushed
- awesome-local-llm
- Sep 13, 2026
- openmodelz
- Nov 3, 2023
Categories
- awesome-local-llm
- Inference & Serving
- openmodelz
- Inference & Serving
Trust and health
Maintenance
- awesome-local-llm
- Very active (96%)
- openmodelz
- Dormant (18%)
Days since push
- awesome-local-llm
- 6d
- openmodelz
- 1060d
Open issues (now)
- awesome-local-llm
- 169
- openmodelz
- 23
Stars delta
- awesome-local-llm
- +351 (30d)
- openmodelz
- +2 (30d)
Open issues delta
- awesome-local-llm
- +40 (30d)
- openmodelz
- 0 (30d)
Owner type
- awesome-local-llm
- User
- openmodelz
- Organization
OSV dependency advisories
- awesome-local-llm
- No lockfile (source not queried)
- openmodelz
- Published findings
Full report
- awesome-local-llm
- Trust report
- openmodelz
- Trust report
Choose awesome-local-llm if…
- License: awesome-local-llm is MIT, openmodelz is Apache-2.0.
- Pricing: The list itself is free and open-source under the MIT license..
- Requirements: Technical skill in setting up a self-hosted large language model environment is necessary.
- Tags unique to awesome-local-llm: ai, awesome-list, local-ai, self-hosted.
- - If you require extensive documentation and resources for setting up and running LLMs on your own hardware, this tool provides a comprehensive list of options
When NOT to use awesome-local-llm
- - Avoid if you seek direct tools rather than a curated list; awesome-local-llm does not provide the actual software but guidance and links
- - Not suitable for users who prefer ready-to-use solutions without needing additional configuration, as it requires self-hosting expertise to utilize its resources
Choose openmodelz if…
- License: openmodelz is Apache-2.0, awesome-local-llm is MIT.
- Tags unique to openmodelz: cluster-manager, hacktoberfest, inference, llmops.
- When you need automatic scaling of large language models based on current load on Kubernetes clusters.
When NOT to use openmodelz
- Avoid using if your deployment setup does not include Kubernetes or another cluster management system that OpenModelZ supports.
- Do not use this tool if you do not need automatic scaling features, as manual setup might be more straightforward for simpler deployments.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (rafska/awesome-local-llm) · observed Sep 20, 2026
- GitHub forks (rafska/awesome-local-llm) · observed Sep 20, 2026
- Last push (rafska/awesome-local-llm) · observed Sep 13, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (tensorchord/openmodelz) · observed Sep 29, 2026
- GitHub forks (tensorchord/openmodelz) · observed Sep 29, 2026
- Last push (tensorchord/openmodelz) · observed Nov 3, 2023
- License file (Apache-2.0) · observed Sep 29, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-local-llm 2.9k · openmodelz 284 (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-local-llm and openmodelz?
- awesome-local-llm: Resources for running LLMs locally. openmodelz: Automate and scale inference of large language models on Kubernetes.. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-local-llm over openmodelz?
- Choose awesome-local-llm over openmodelz when License: awesome-local-llm is MIT, openmodelz is Apache-2.0; Pricing: The list itself is free and open-source under the MIT license.; Requirements: Technical skill in setting up a self-hosted large language model environment is necessary; Tags unique to awesome-local-llm: ai, awesome-list, local-ai, self-hosted; - If you require extensive documentation and resources for setting up and running LLMs on your own hardware, this tool provides a comprehensive list of options.
- When should I choose openmodelz over awesome-local-llm?
- Choose openmodelz over awesome-local-llm when License: openmodelz is Apache-2.0, awesome-local-llm is MIT; Tags unique to openmodelz: cluster-manager, hacktoberfest, inference, llmops; When you need automatic scaling of large language models based on current load on Kubernetes clusters.
- When should I avoid awesome-local-llm?
- - Avoid if you seek direct tools rather than a curated list; awesome-local-llm does not provide the actual software but guidance and links - Not suitable for users who prefer ready-to-use solutions without needing additional configuration, as it requires self-hosting expertise to utilize its resources
- When should I avoid openmodelz?
- Avoid using if your deployment setup does not include Kubernetes or another cluster management system that OpenModelZ supports. Do not use this tool if you do not need automatic scaling features, as manual setup might be more straightforward for simpler deployments.
- Is awesome-local-llm or openmodelz more popular on GitHub?
- awesome-local-llm has more GitHub stars (2,869 vs 284). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-local-llm and openmodelz open source?
- Yes - both are open-source projects on GitHub (awesome-local-llm: MIT, openmodelz: Apache-2.0).
- Where can I find alternatives to awesome-local-llm or openmodelz?
- GraphCanon lists graph-backed alternatives at awesome-local-llm alternatives and openmodelz alternatives (awesome-local-llm markdown twin, openmodelz 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, awesome-local-llm or openmodelz?
- awesome-local-llm: Very active. openmodelz: 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 awesome-local-llm and openmodelz?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-local-llm trust report; openmodelz trust report.