Comparison
supabase-mcp-server vs Awesome-LLMOps
Verdict
Pick supabase-mcp-server if the `supabase-mcp-server` is a Python-based solution for managing Supabase through an interactive chat interface with robust capabilities including automated migration versioning and log access; pick Awesome-LLMOps if 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.
Markdown twin · supabase-mcp-server alternatives · Awesome-LLMOps alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | supabase-mcp-server | Awesome-LLMOps |
|---|---|---|
| Maintenance | Steady (79d since push) As of 4w · github_public_v1 | Slowing (91d since push) As of 4d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 4w · github_public_v1 | Not a fork · Organization account As of 4d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- supabase-mcp-server
- Query MCP for end-to-end Supabase management via chat interface
- Awesome-LLMOps
- An awesome & curated list of best LLMOps tools for developers
Stars
- supabase-mcp-server
- 830
- Awesome-LLMOps
- 5.9k
Forks
- supabase-mcp-server
- 105
- Awesome-LLMOps
- 993
Open issues
- supabase-mcp-server
- 3
- Awesome-LLMOps
- 247
Language
- supabase-mcp-server
- Python
- Awesome-LLMOps
- Shell
Adopt for
- supabase-mcp-server
- The `supabase-mcp-server` is a Python-based solution for managing Supabase through an interactive chat interface with robust capabilities including automated migration versioning and log access.
- 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
- supabase-mcp-server
- -
- Awesome-LLMOps
- -
Runtime
- supabase-mcp-server
- -
- Awesome-LLMOps
- -
License
- supabase-mcp-server
- Apache-2.0
- Awesome-LLMOps
- CC0-1.0
Last pushed
- supabase-mcp-server
- May 8, 2026
- Awesome-LLMOps
- May 21, 2026
Categories
- supabase-mcp-server
- Data & Retrieval, Developer Tools
- Awesome-LLMOps
- Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio
Trust and health
Maintenance
- supabase-mcp-server
- Steady (60%)
- Awesome-LLMOps
- Slowing (36%)
Days since push
- supabase-mcp-server
- 79d
- Awesome-LLMOps
- 91d
Open issues (now)
- supabase-mcp-server
- 3
- Awesome-LLMOps
- 247
Stars delta
- supabase-mcp-server
- Unknown
- Awesome-LLMOps
- +28 (30d)
Open issues delta
- supabase-mcp-server
- Unknown
- Awesome-LLMOps
- +66 (30d)
Owner type
- supabase-mcp-server
- User
- Awesome-LLMOps
- Organization
Full report
- supabase-mcp-server
- Trust report
- Awesome-LLMOps
- Trust report
Choose supabase-mcp-server if…
- supabase-mcp-server is primarily Python; Awesome-LLMOps is Shell.
- License: supabase-mcp-server is Apache-2.0, Awesome-LLMOps is CC0-1.0.
- Tags unique to supabase-mcp-server: cursor, model-context-protocol, supabase, windsurf.
- Also covers Developer Tools.
- supabase-mcp-server ships Docker support for self-hosted deployment.
- - When you need a streamlined, chat-driven interface to handle your Supabase instances, allowing both read & write query execution in a conversational manner.
When NOT to use supabase-mcp-server
- - Avoid this tool if you seek advanced customization options for the chat interface beyond what's provided by Supabase MCP; it might not integrate seamlessly with all custom workflows.
- - If your project strictly requires proprietary data management systems incompatible with Supabase, or you're operating under restrictive licensing environments that contraindicate Apache-2.0.
Choose Awesome-LLMOps if…
- Awesome-LLMOps is primarily Shell; supabase-mcp-server is Python.
- License: Awesome-LLMOps is CC0-1.0, supabase-mcp-server is Apache-2.0.
- Tags unique to Awesome-LLMOps: ai-development-tools, awesome-list, llmops, mlops.
- Also covers Computer Vision, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio.
- - 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
supabase-mcp-server trust report →Awesome-LLMOps trust report →Data & Retrieval category →Developer Tools category →Computer Vision category →Evaluation & Observability category →Inference & Serving category →LLM Frameworks category →Model Training category →Speech & Audio category →All comparisonsStack workflowsTrending tools
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (alexander-zuev/supabase-mcp-server) · observed Jul 27, 2026
- GitHub forks (alexander-zuev/supabase-mcp-server) · observed Jul 27, 2026
- Last push (alexander-zuev/supabase-mcp-server) · observed May 8, 2026
- License file (Apache-2.0) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tensorchord/Awesome-LLMOps) · observed Aug 20, 2026
- GitHub forks (tensorchord/Awesome-LLMOps) · observed Aug 20, 2026
- Last push (tensorchord/Awesome-LLMOps) · observed May 21, 2026
- License file (CC0-1.0) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: supabase-mcp-server 830 · Awesome-LLMOps 5.9k (synced Jul 27, 2026).
Common questions
- What is the difference between supabase-mcp-server and Awesome-LLMOps?
- supabase-mcp-server: Query MCP for end-to-end Supabase management via chat interface. 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 supabase-mcp-server over Awesome-LLMOps?
- Choose supabase-mcp-server over Awesome-LLMOps when supabase-mcp-server is primarily Python; Awesome-LLMOps is Shell; License: supabase-mcp-server is Apache-2.0, Awesome-LLMOps is CC0-1.0; Tags unique to supabase-mcp-server: cursor, model-context-protocol, supabase, windsurf; Also covers Developer Tools; supabase-mcp-server ships Docker support for self-hosted deployment; - When you need a streamlined, chat-driven interface to handle your Supabase instances, allowing both read & write query execution in a conversational manner.
- When should I choose Awesome-LLMOps over supabase-mcp-server?
- Choose Awesome-LLMOps over supabase-mcp-server when Awesome-LLMOps is primarily Shell; supabase-mcp-server is Python; License: Awesome-LLMOps is CC0-1.0, supabase-mcp-server is Apache-2.0; Tags unique to Awesome-LLMOps: ai-development-tools, awesome-list, llmops, mlops; Also covers Computer Vision, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio; - When you need a comprehensive directory of tools specifically focused on LLM development, training, fine-tuning, and management.
- When should I avoid supabase-mcp-server?
- - Avoid this tool if you seek advanced customization options for the chat interface beyond what's provided by Supabase MCP; it might not integrate seamlessly with all custom workflows. - If your project strictly requires proprietary data management systems incompatible with Supabase, or you're operating under restrictive licensing environments that contraindicate Apache-2.0.
- 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 supabase-mcp-server or Awesome-LLMOps more popular on GitHub?
- Awesome-LLMOps has more GitHub stars (5,915 vs 830). Stars measure visibility, not whether either tool fits your constraints.
- Are supabase-mcp-server and Awesome-LLMOps open source?
- Yes - both are open-source projects on GitHub (supabase-mcp-server: Apache-2.0, Awesome-LLMOps: CC0-1.0).
- Where can I find alternatives to supabase-mcp-server or Awesome-LLMOps?
- GraphCanon lists graph-backed alternatives at supabase-mcp-server alternatives and Awesome-LLMOps alternatives (supabase-mcp-server 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, supabase-mcp-server or Awesome-LLMOps?
- supabase-mcp-server: Steady. Awesome-LLMOps: Slowing. 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 supabase-mcp-server and Awesome-LLMOps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: supabase-mcp-server trust report; Awesome-LLMOps trust report.