Comparison
supabase vs Awesome-LLMOps
Verdict
Pick supabase if primarily considered for applications needing a dedicated PostgreSQL environment with added features like authentication and real-time data synchronization; 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 alternatives · Awesome-LLMOps alternatives
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vs
Trust & integrity
| Signal | supabase | Awesome-LLMOps |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4w · github_public_v1 | Slowing (91d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of today · 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
- The Postgres development platform.
- Awesome-LLMOps
- An awesome & curated list of best LLMOps tools for developers
Stars
- supabase
- 107k
- Awesome-LLMOps
- 5.9k
Forks
- supabase
- 13k
- Awesome-LLMOps
- 993
Open issues
- supabase
- 1.1k
- Awesome-LLMOps
- 247
Language
- supabase
- TypeScript
- Awesome-LLMOps
- Shell
Adopt for
- supabase
- Primarily considered for applications needing a dedicated PostgreSQL environment with added features like authentication and real-time data synchronization.
- 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
- -
- Awesome-LLMOps
- -
Runtime
- supabase
- -
- Awesome-LLMOps
- -
License
- supabase
- Apache-2.0
- Awesome-LLMOps
- CC0-1.0
Last pushed
- supabase
- Jul 22, 2026
- Awesome-LLMOps
- May 21, 2026
Categories
- supabase
- Data & Retrieval
- Awesome-LLMOps
- Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio
Trust and health
Maintenance
- supabase
- Very active (96%)
- Awesome-LLMOps
- Slowing (36%)
Days since push
- supabase
- 0d
- Awesome-LLMOps
- 91d
Open issues (now)
- supabase
- 1.1k
- Awesome-LLMOps
- 247
Stars delta
- supabase
- Unknown
- Awesome-LLMOps
- +28 (30d)
Open issues delta
- supabase
- Unknown
- Awesome-LLMOps
- +66 (30d)
Full report
- supabase
- Trust report
- Awesome-LLMOps
- Trust report
Choose supabase if…
- supabase is primarily TypeScript; Awesome-LLMOps is Shell.
- License: supabase is Apache-2.0, Awesome-LLMOps is CC0-1.0.
- Pricing: Offers free plans with paid tiers for additional capacity and enterprise features..
- Requirements: Supports deployment in multiple cloud environments including AWS, DigitalOcean, and Vercel.
- Tags unique to supabase: ai, alternative, auth, database.
- - When developing AI applications that require seamless integration with a PostgreSQL database through websockets for a real-time experience
When NOT to use supabase
- - In scenarios where a highly customizable database backend is required with deep control over every aspect; Supabase offers limited customization beyond its defined set of features
- - For projects wanting to avoid tightly coupling their authentication and authorization schemes within the same system as data storage, as Supabase integrates both closely
Choose Awesome-LLMOps if…
- Awesome-LLMOps is primarily Shell; supabase is TypeScript.
- License: Awesome-LLMOps is CC0-1.0, supabase 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
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (supabase/supabase) · observed Jul 22, 2026
- GitHub forks (supabase/supabase) · observed Jul 22, 2026
- Last push (supabase/supabase) · observed Jul 22, 2026
- License file (Apache-2.0) · observed Jul 22, 2026
- Decision facts (enrichment) · observed Jul 11, 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 107k · Awesome-LLMOps 5.9k (synced Jul 22, 2026).
Common questions
- What is the difference between supabase and Awesome-LLMOps?
- supabase: The Postgres development platform.. 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 over Awesome-LLMOps?
- Choose supabase over Awesome-LLMOps when supabase is primarily TypeScript; Awesome-LLMOps is Shell; License: supabase is Apache-2.0, Awesome-LLMOps is CC0-1.0; Pricing: Offers free plans with paid tiers for additional capacity and enterprise features.; Requirements: Supports deployment in multiple cloud environments including AWS, DigitalOcean, and Vercel; Tags unique to supabase: ai, alternative, auth, database; - When developing AI applications that require seamless integration with a PostgreSQL database through websockets for a real-time experience.
- When should I choose Awesome-LLMOps over supabase?
- Choose Awesome-LLMOps over supabase when Awesome-LLMOps is primarily Shell; supabase is TypeScript; License: Awesome-LLMOps is CC0-1.0, supabase 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?
- - In scenarios where a highly customizable database backend is required with deep control over every aspect; Supabase offers limited customization beyond its defined set of features - For projects wanting to avoid tightly coupling their authentication and authorization schemes within the same system as data storage, as Supabase integrates both closely
- 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 or Awesome-LLMOps more popular on GitHub?
- supabase has more GitHub stars (106,774 vs 5,915). Stars measure visibility, not whether either tool fits your constraints.
- Are supabase and Awesome-LLMOps open source?
- Yes - both are open-source projects on GitHub (supabase: Apache-2.0, Awesome-LLMOps: CC0-1.0).
- Where can I find alternatives to supabase or Awesome-LLMOps?
- GraphCanon lists graph-backed alternatives at supabase alternatives and Awesome-LLMOps alternatives (supabase 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 or Awesome-LLMOps?
- supabase: Very active. 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 and Awesome-LLMOps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: supabase trust report; Awesome-LLMOps trust report.