Comparison
Awesome-LLMOps vs Awesome-LLM-in-Social-Science
Verdict
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; pick Awesome-LLM-in-Social-Science if curate research papers on LLM applications in social science, covering topics like alignment, economics, policy, psychology, and more.
Markdown twin · Awesome-LLMOps alternatives · Awesome-LLM-in-Social-Science alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | Awesome-LLMOps | Awesome-LLM-in-Social-Science |
|---|---|---|
| Maintenance | Slowing (91d since push) As of 1d · github_public_v1 | Steady (49d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 3w · 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
- Awesome-LLMOps
- An awesome & curated list of best LLMOps tools for developers
- Awesome-LLM-in-Social-Science
- Awesome papers involving LLMs in Social Science
Stars
- Awesome-LLMOps
- 5.9k
- Awesome-LLM-in-Social-Science
- 639
Forks
- Awesome-LLMOps
- 993
- Awesome-LLM-in-Social-Science
- 48
Open issues
- Awesome-LLMOps
- 247
- Awesome-LLM-in-Social-Science
- 0
Language
- Awesome-LLMOps
- Shell
- Awesome-LLM-in-Social-Science
- -
Adopt for
- 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.
- Awesome-LLM-in-Social-Science
- Curate research papers on LLM applications in social science, covering topics like alignment, economics, policy, psychology, and more.
Persona
- Awesome-LLMOps
- -
- Awesome-LLM-in-Social-Science
- -
Runtime
- Awesome-LLMOps
- -
- Awesome-LLM-in-Social-Science
- -
License
- Awesome-LLMOps
- CC0-1.0
- Awesome-LLM-in-Social-Science
- MIT
Last pushed
- Awesome-LLMOps
- May 21, 2026
- Awesome-LLM-in-Social-Science
- Jun 8, 2026
Categories
- Awesome-LLMOps
- Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio
- Awesome-LLM-in-Social-Science
- Evaluation & Observability, Model Training
Trust and health
Maintenance
- Awesome-LLMOps
- Slowing (36%)
- Awesome-LLM-in-Social-Science
- Steady (60%)
Days since push
- Awesome-LLMOps
- 91d
- Awesome-LLM-in-Social-Science
- 49d
Open issues (now)
- Awesome-LLMOps
- 247
- Awesome-LLM-in-Social-Science
- 0
Stars delta
- Awesome-LLMOps
- +28 (30d)
- Awesome-LLM-in-Social-Science
- Unknown
Open issues delta
- Awesome-LLMOps
- +66 (30d)
- Awesome-LLM-in-Social-Science
- Unknown
Full report
- Awesome-LLMOps
- Trust report
- Awesome-LLM-in-Social-Science
- Trust report
Choose Awesome-LLMOps if…
- License: Awesome-LLMOps is CC0-1.0, Awesome-LLM-in-Social-Science is MIT.
- Tags unique to Awesome-LLMOps: ai-development-tools, awesome-list, llmops, mlops.
- Also covers Computer Vision, Data & Retrieval, Inference & Serving, LLM Frameworks, 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.
Choose Awesome-LLM-in-Social-Science if…
- License: Awesome-LLM-in-Social-Science is MIT, Awesome-LLMOps is CC0-1.0.
- Tags unique to Awesome-LLM-in-Social-Science: alignment, economics, large language models, llm-agent.
- Need to explore academic insights into LLM impacts on specific social areas
When NOT to use Awesome-LLM-in-Social-Science
- Looking for a hands-on coding or practical implementation guide of LLMs
- In need of real-time data analysis tools for immediate social science research outcomes
Explore
Awesome-LLMOps trust report →Awesome-LLM-in-Social-Science trust report →Computer Vision category →Data & Retrieval 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 (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 (ValueByte-AI/Awesome-LLM-in-Social-Science) · observed Jul 28, 2026
- GitHub forks (ValueByte-AI/Awesome-LLM-in-Social-Science) · observed Jul 28, 2026
- Last push (ValueByte-AI/Awesome-LLM-in-Social-Science) · observed Jun 8, 2026
- License file (MIT) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Awesome-LLMOps 5.9k · Awesome-LLM-in-Social-Science 639 (synced Aug 20, 2026).
Common questions
- What is the difference between Awesome-LLMOps and Awesome-LLM-in-Social-Science?
- Awesome-LLMOps: An awesome & curated list of best LLMOps tools for developers. Awesome-LLM-in-Social-Science: Awesome papers involving LLMs in Social Science. See the comparison table for live GitHub stats and shared categories.
- When should I choose Awesome-LLMOps over Awesome-LLM-in-Social-Science?
- Choose Awesome-LLMOps over Awesome-LLM-in-Social-Science when License: Awesome-LLMOps is CC0-1.0, Awesome-LLM-in-Social-Science is MIT; Tags unique to Awesome-LLMOps: ai-development-tools, awesome-list, llmops, mlops; Also covers Computer Vision, Data & Retrieval, Inference & Serving, LLM Frameworks, Speech & Audio; - When you need a comprehensive directory of tools specifically focused on LLM development, training, fine-tuning, and management.
- When should I choose Awesome-LLM-in-Social-Science over Awesome-LLMOps?
- Choose Awesome-LLM-in-Social-Science over Awesome-LLMOps when License: Awesome-LLM-in-Social-Science is MIT, Awesome-LLMOps is CC0-1.0; Tags unique to Awesome-LLM-in-Social-Science: alignment, economics, large language models, llm-agent; Need to explore academic insights into LLM impacts on specific social areas.
- 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.
- When should I avoid Awesome-LLM-in-Social-Science?
- Looking for a hands-on coding or practical implementation guide of LLMs In need of real-time data analysis tools for immediate social science research outcomes
- Is Awesome-LLMOps or Awesome-LLM-in-Social-Science more popular on GitHub?
- Awesome-LLMOps has more GitHub stars (5,915 vs 639). Stars measure visibility, not whether either tool fits your constraints.
- Are Awesome-LLMOps and Awesome-LLM-in-Social-Science open source?
- Yes - both are open-source projects on GitHub (Awesome-LLMOps: CC0-1.0, Awesome-LLM-in-Social-Science: MIT).
- Where can I find alternatives to Awesome-LLMOps or Awesome-LLM-in-Social-Science?
- GraphCanon lists graph-backed alternatives at Awesome-LLMOps alternatives and Awesome-LLM-in-Social-Science alternatives (Awesome-LLMOps markdown twin, Awesome-LLM-in-Social-Science 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-LLMOps or Awesome-LLM-in-Social-Science?
- Awesome-LLMOps: Slowing. Awesome-LLM-in-Social-Science: 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 Awesome-LLMOps and Awesome-LLM-in-Social-Science?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Awesome-LLMOps trust report; Awesome-LLM-in-Social-Science trust report.