Comparison
ballerine vs Awesome-LLMOps
Verdict
Pick ballerine if ballerine is an open-source infrastructure and data orchestration platform for risk decisioning that supports areas such as compliance, fraud detection and identity verification; 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 · ballerine alternatives · Awesome-LLMOps alternatives
GraphCanon updated Sep 20, 2026
9views this month
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Trust & integrity
| Signal | ballerine | Awesome-LLMOps |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 19, 2026 · github_public_v1 | Slowing (121d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 19, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- ballerine
- Open-source infrastructure and data orchestration platform for risk decisioning
- Awesome-LLMOps
- An awesome & curated list of best LLMOps tools for developers
Stars
- ballerine
- 2.4k
- Awesome-LLMOps
- 5.9k
Forks
- ballerine
- 311
- Awesome-LLMOps
- 1.1k
Open issues
- ballerine
- 20
- Awesome-LLMOps
- 317
Language
- ballerine
- TypeScript
- Awesome-LLMOps
- Shell
Adopt for
- ballerine
- Ballerine is an open-source infrastructure and data orchestration platform for risk decisioning that supports areas such as compliance, fraud detection and identity verification.
- 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
- ballerine
- -
- Awesome-LLMOps
- -
Runtime
- ballerine
- -
- Awesome-LLMOps
- -
License
- ballerine
- The platform is under Other license, which means specific terms are provided beyond the information publicly available.
- Awesome-LLMOps
- CC0-1.0
Last pushed
- ballerine
- Sep 17, 2026
- Awesome-LLMOps
- May 21, 2026
Categories
- ballerine
- Evaluation & Observability
- Awesome-LLMOps
- Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio
Trust and health
Maintenance
- ballerine
- Very active (96%)
- Awesome-LLMOps
- Slowing (36%)
Days since push
- ballerine
- 1d
- Awesome-LLMOps
- 121d
Open issues (now)
- ballerine
- 20
- Awesome-LLMOps
- 317
Stars delta
- ballerine
- +13 (30d)
- Awesome-LLMOps
- +26 (30d)
Open issues delta
- ballerine
- +11 (30d)
- Awesome-LLMOps
- +70 (30d)
Full report
- ballerine
- Trust report
- Awesome-LLMOps
- Trust report
Choose ballerine if…
- ballerine is primarily TypeScript; Awesome-LLMOps is Shell.
- License: ballerine is Other, Awesome-LLMOps is CC0-1.0.
- Pricing: While Ballerine has an open-source repository that is not currently supported, commercial SaaS options may be available for a fee..
- Tags unique to ballerine: back-office, compliance, data-orchestration, fraud-detection.
- When you are working in the payment sector or run a Fintech company and need tools to automate decisions during the customer lifecycle.
When NOT to use ballerine
- If you require immediate support or are unable to wait as Ballerine is currently undergoing a major rebuild and is not actively supported at this time.
- When your risk management needs do not align with automated workflows, rule engines, or third-party plugin systems, suggesting a more traditional approach might be better.
Choose Awesome-LLMOps if…
- Awesome-LLMOps is primarily Shell; ballerine is TypeScript.
- License: Awesome-LLMOps is CC0-1.0, ballerine is Other.
- Tags unique to Awesome-LLMOps: ai development tools, awesome-list, llmops, mlops.
- Also covers Computer Vision, Data & Retrieval, 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 (ballerine-io/ballerine) · observed Sep 20, 2026
- GitHub forks (ballerine-io/ballerine) · observed Sep 20, 2026
- Last push (ballerine-io/ballerine) · observed Sep 17, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (tensorchord/Awesome-LLMOps) · observed Sep 20, 2026
- GitHub forks (tensorchord/Awesome-LLMOps) · observed Sep 20, 2026
- Last push (tensorchord/Awesome-LLMOps) · observed May 21, 2026
- License file (CC0-1.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ballerine 2.4k · Awesome-LLMOps 5.9k (synced Sep 20, 2026).
Common questions
- What is the difference between ballerine and Awesome-LLMOps?
- ballerine: Open-source infrastructure and data orchestration platform for risk decisioning. 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 ballerine over Awesome-LLMOps?
- Choose ballerine over Awesome-LLMOps when ballerine is primarily TypeScript; Awesome-LLMOps is Shell; License: ballerine is Other, Awesome-LLMOps is CC0-1.0; Pricing: While Ballerine has an open-source repository that is not currently supported, commercial SaaS options may be available for a fee.; Tags unique to ballerine: back-office, compliance, data-orchestration, fraud-detection; When you are working in the payment sector or run a Fintech company and need tools to automate decisions during the customer lifecycle.
- When should I choose Awesome-LLMOps over ballerine?
- Choose Awesome-LLMOps over ballerine when Awesome-LLMOps is primarily Shell; ballerine is TypeScript; License: Awesome-LLMOps is CC0-1.0, ballerine is Other; Tags unique to Awesome-LLMOps: ai development tools, awesome-list, llmops, mlops; Also covers Computer Vision, Data & Retrieval, 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 ballerine?
- If you require immediate support or are unable to wait as Ballerine is currently undergoing a major rebuild and is not actively supported at this time. When your risk management needs do not align with automated workflows, rule engines, or third-party plugin systems, suggesting a more traditional approach might be better.
- 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 ballerine or Awesome-LLMOps more popular on GitHub?
- Awesome-LLMOps has more GitHub stars (5,941 vs 2,434). Stars measure visibility, not whether either tool fits your constraints.
- Are ballerine and Awesome-LLMOps open source?
- Yes - both are open-source projects on GitHub (ballerine: Other, Awesome-LLMOps: CC0-1.0).
- Where can I find alternatives to ballerine or Awesome-LLMOps?
- GraphCanon lists graph-backed alternatives at ballerine alternatives and Awesome-LLMOps alternatives (ballerine 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, ballerine or Awesome-LLMOps?
- ballerine: 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 ballerine and Awesome-LLMOps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ballerine trust report; Awesome-LLMOps trust report.