Comparison
selfhost-ai vs Awesome-LLMOps
Verdict
Pick selfhost-ai when license: selfhost-ai is Apache-2.0, Awesome-LLMOps is CC0-1.0; pick Awesome-LLMOps when license: Awesome-LLMOps is CC0-1.0, selfhost-ai is Apache-2.0.
Markdown twin · selfhost-ai alternatives · Awesome-LLMOps alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | selfhost-ai | Awesome-LLMOps |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Steady (51d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- selfhost-ai
- 🚀 Self-hosted AI automation platform. Deploy n8n, Ollama, Flowise, RAG, Supabase & 30+ tools with one command. Auto HTTPS. Free Zapier/Make alternative.
- Awesome-LLMOps
- An awesome & curated list of best LLMOps tools for developers
Stars
- selfhost-ai
- 897
- Awesome-LLMOps
- 5.9k
Forks
- selfhost-ai
- 228
- Awesome-LLMOps
- 901
Open issues
- selfhost-ai
- 0
- Awesome-LLMOps
- 157
Language
- selfhost-ai
- Shell
- Awesome-LLMOps
- Shell
Adopt for
- selfhost-ai
- -
- Awesome-LLMOps
- Awesome-LLMOps is a curated list tailored for developers working with Large Language Models (LLMs), providing resources for model training, serving, evaluation, deployment, and more.
Persona
- selfhost-ai
- -
- Awesome-LLMOps
- -
Runtime
- selfhost-ai
- -
- Awesome-LLMOps
- -
License
- selfhost-ai
- Apache-2.0
- Awesome-LLMOps
- CC0-1.0
Last pushed
- selfhost-ai
- Jul 9, 2026
- Awesome-LLMOps
- May 21, 2026
Categories
- selfhost-ai
- LLM Frameworks, AI Agents, Vector Databases
- Awesome-LLMOps
- Model Training, Vector Databases, LLM Frameworks
Trust and health
Maintenance
- selfhost-ai
- Very active (96%)
- Awesome-LLMOps
- Steady (60%)
Days since push
- selfhost-ai
- 1d
- Awesome-LLMOps
- 51d
Open issues (now)
- selfhost-ai
- 0
- Awesome-LLMOps
- 157
Owner type
- selfhost-ai
- User
- Awesome-LLMOps
- Organization
Full report
- selfhost-ai
- Trust report
- Awesome-LLMOps
- Trust report
Choose selfhost-ai if…
- License: selfhost-ai is Apache-2.0, Awesome-LLMOps is CC0-1.0.
- Tags unique to selfhost-ai: homelab, dify, ai, docker.
- Also covers AI Agents.
When NOT to use selfhost-ai
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose Awesome-LLMOps if…
- License: Awesome-LLMOps is CC0-1.0, selfhost-ai is Apache-2.0.
- Tags unique to Awesome-LLMOps: llmops, shell, awesome-list, mlops.
- Also covers Model Training.
- - When you need a comprehensive directory of tools specifically focused on LLM development, training, fine-tuning, and management.
When NOT to use Awesome-LLMOps
- - When you are looking for a hands-on platform or framework for developing and deploying models rather than just a resource list.
- - If your focus is on general artificial intelligence development that includes areas beyond LLMOps like image processing, robotics, or federated learning without the need for LLM-specific resources.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (kossakovsky/selfhost-ai) · observed Jul 11, 2026
- GitHub forks (kossakovsky/selfhost-ai) · observed Jul 11, 2026
- Last push (kossakovsky/selfhost-ai) · observed Jul 9, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tensorchord/Awesome-LLMOps) · observed Jul 11, 2026
- GitHub forks (tensorchord/Awesome-LLMOps) · observed Jul 11, 2026
- Last push (tensorchord/Awesome-LLMOps) · observed May 21, 2026
- License file (CC0-1.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: selfhost-ai 897 · Awesome-LLMOps 5.9k (synced Jul 11, 2026).
Common questions
- What is the difference between selfhost-ai and Awesome-LLMOps?
- selfhost-ai: 🚀 Self-hosted AI automation platform. Deploy n8n, Ollama, Flowise, RAG, Supabase & 30+ tools with one command. Auto HTTPS. Free Zapier/Make alternative.. Awesome-LLMOps: An awesome & curated list of best LLMOps tools for developers. See the comparison table for live GitHub stats and shared categories.
- When should I choose selfhost-ai over Awesome-LLMOps?
- Choose selfhost-ai over Awesome-LLMOps when License: selfhost-ai is Apache-2.0, Awesome-LLMOps is CC0-1.0; Tags unique to selfhost-ai: homelab, dify, ai, docker; Also covers AI Agents.
- When should I choose Awesome-LLMOps over selfhost-ai?
- Choose Awesome-LLMOps over selfhost-ai when License: Awesome-LLMOps is CC0-1.0, selfhost-ai is Apache-2.0; Tags unique to Awesome-LLMOps: llmops, shell, awesome-list, mlops; Also covers Model Training; - When you need a comprehensive directory of tools specifically focused on LLM development, training, fine-tuning, and management.
- When should I avoid selfhost-ai?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- When should I avoid Awesome-LLMOps?
- - When you are looking for a hands-on platform or framework for developing and deploying models rather than just a resource list. - If your focus is on general artificial intelligence development that includes areas beyond LLMOps like image processing, robotics, or federated learning without the need for LLM-specific resources.
- Is selfhost-ai or Awesome-LLMOps more popular on GitHub?
- Awesome-LLMOps has more GitHub stars (5,877 vs 897). Stars measure visibility, not whether either tool fits your constraints.
- Are selfhost-ai and Awesome-LLMOps open source?
- Yes - both are open-source projects on GitHub (selfhost-ai: Apache-2.0, Awesome-LLMOps: CC0-1.0).
- Where can I find alternatives to selfhost-ai or Awesome-LLMOps?
- GraphCanon lists graph-backed alternatives at selfhost-ai alternatives and Awesome-LLMOps alternatives (selfhost-ai markdown twin, Awesome-LLMOps 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, selfhost-ai or Awesome-LLMOps?
- selfhost-ai: Very active. Awesome-LLMOps: Steady. 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 selfhost-ai and Awesome-LLMOps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: selfhost-ai trust report; Awesome-LLMOps trust report.