Comparison
agenta vs Awesome-LLMOps
Verdict
Pick agenta if agenta, an open-source LLMOps platform for prompt management, evaluation, and observability; 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 · agenta alternatives · Awesome-LLMOps alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | agenta | Awesome-LLMOps |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Slowing (91d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 1d · 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
- agenta
- The open-source LLMOps platform for prompt management, evaluation, and observability.
- Awesome-LLMOps
- An awesome & curated list of best LLMOps tools for developers
Stars
- agenta
- 4.4k
- Awesome-LLMOps
- 5.9k
Forks
- agenta
- 609
- Awesome-LLMOps
- 993
Open issues
- agenta
- 270
- Awesome-LLMOps
- 247
Language
- agenta
- TypeScript
- Awesome-LLMOps
- Shell
Adopt for
- agenta
- Agenta, an open-source LLMOps platform for prompt management, evaluation, and observability.
- 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
- agenta
- -
- Awesome-LLMOps
- -
Runtime
- agenta
- -
- Awesome-LLMOps
- -
License
- agenta
- Other
- Awesome-LLMOps
- CC0-1.0
Last pushed
- agenta
- Aug 7, 2026
- Awesome-LLMOps
- May 21, 2026
Categories
- agenta
- Evaluation & Observability, LLM Frameworks
- Awesome-LLMOps
- Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio
Trust and health
Maintenance
- agenta
- Very active (96%)
- Awesome-LLMOps
- Slowing (36%)
Days since push
- agenta
- 0d
- Awesome-LLMOps
- 91d
Open issues (now)
- agenta
- 270
- Awesome-LLMOps
- 247
Stars delta
- agenta
- +170 (30d)
- Awesome-LLMOps
- +28 (30d)
Open issues delta
- agenta
- +109 (30d)
- Awesome-LLMOps
- +66 (30d)
Full report
- agenta
- Trust report
- Awesome-LLMOps
- Trust report
Typed relationship
agenta integrates Awesome-LLMOps'Agents' is described as the open-source LLMOps platform, which likely could integrate with resources curated in 'Awesome-LLMOps'.
Choose agenta if…
- agenta is primarily TypeScript; Awesome-LLMOps is Shell.
- License: agenta is Other, Awesome-LLMOps is CC0-1.0.
- 'Agents' is described as the open-source LLMOps platform, which likely could integrate with resources curated in 'Awesome-LLMOps'.
- Tags unique to agenta: agents, evaluation, llm-as-a-judge, llm-evaluation.
- Need a self-hosted solution with built-in prompt playground and LLM evaluation capabilities
When NOT to use agenta
- Looking for a service without the need to manage self-hosting setup
- Require real-time collaboration features that are not provided within this platform's scope
Choose Awesome-LLMOps if…
- Awesome-LLMOps is primarily Shell; agenta is TypeScript.
- License: Awesome-LLMOps is CC0-1.0, agenta is Other.
- 'Agents' is described as the open-source LLMOps platform, which likely could integrate with resources curated in 'Awesome-LLMOps'.
- Tags unique to Awesome-LLMOps: ai-development-tools, awesome-list, llmops, mlops.
- Also covers Computer Vision, Data & Retrieval, Inference & Serving, 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 (Agenta-AI/agenta) · observed Aug 7, 2026
- GitHub forks (Agenta-AI/agenta) · observed Aug 7, 2026
- Last push (Agenta-AI/agenta) · observed Aug 7, 2026
- License file (Other) · observed Aug 7, 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: agenta 4.4k · Awesome-LLMOps 5.9k (synced Aug 7, 2026).
Common questions
- What is the difference between agenta and Awesome-LLMOps?
- agenta: The open-source LLMOps platform for prompt management, evaluation, and observability.. 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 agenta over Awesome-LLMOps?
- Choose agenta over Awesome-LLMOps when agenta is primarily TypeScript; Awesome-LLMOps is Shell; License: agenta is Other, Awesome-LLMOps is CC0-1.0; 'Agents' is described as the open-source LLMOps platform, which likely could integrate with resources curated in 'Awesome-LLMOps'; Tags unique to agenta: agents, evaluation, llm-as-a-judge, llm-evaluation; Need a self-hosted solution with built-in prompt playground and LLM evaluation capabilities.
- When should I choose Awesome-LLMOps over agenta?
- Choose Awesome-LLMOps over agenta when Awesome-LLMOps is primarily Shell; agenta is TypeScript; License: Awesome-LLMOps is CC0-1.0, agenta is Other; 'Agents' is described as the open-source LLMOps platform, which likely could integrate with resources curated in 'Awesome-LLMOps'; Tags unique to Awesome-LLMOps: ai-development-tools, awesome-list, llmops, mlops; Also covers Computer Vision, Data & Retrieval, Inference & Serving, 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 agenta?
- Looking for a service without the need to manage self-hosting setup Require real-time collaboration features that are not provided within this platform's scope
- 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 agenta or Awesome-LLMOps more popular on GitHub?
- Awesome-LLMOps has more GitHub stars (5,915 vs 4,445). Stars measure visibility, not whether either tool fits your constraints.
- Are agenta and Awesome-LLMOps open source?
- Yes - both are open-source projects on GitHub (agenta: Other, Awesome-LLMOps: CC0-1.0).
- Where can I find alternatives to agenta or Awesome-LLMOps?
- GraphCanon lists graph-backed alternatives at agenta alternatives and Awesome-LLMOps alternatives (agenta 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, agenta or Awesome-LLMOps?
- agenta: 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 agenta and Awesome-LLMOps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agenta trust report; Awesome-LLMOps trust report.