--- title: "ballerine vs Awesome-LLMOps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ballerine-io-ballerine-vs-tensorchord-awesome-llmops" tools: ["ballerine-io-ballerine", "tensorchord-awesome-llmops"] --- # ballerine vs Awesome-LLMOps *GraphCanon updated Sep 20, 2026* ## 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. [ballerine](https://www.ballerine.com) reports 2.4k GitHub stars, 311 forks, and 20 open issues, last pushed Sep 17, 2026. [Awesome-LLMOps](https://github.com/tensorchord/Awesome-LLMOps) has 5.9k stars, 1.1k forks, and 317 open issues, last pushed May 21, 2026. Figures are from public GitHub metadata via [ballerine's repository](https://github.com/ballerine-io/ballerine) and [Awesome-LLMOps's repository](https://github.com/tensorchord/Awesome-LLMOps). | | [ballerine](/tools/ballerine-io-ballerine.md) | [Awesome-LLMOps](/tools/tensorchord-awesome-llmops.md) | | --- | --- | --- | | Tagline | Open-source infrastructure and data orchestration platform for risk decisioning | An awesome & curated list of best LLMOps tools for developers | | Stars | 2,434 | 5,941 | | Forks | 311 | 1,058 | | Open issues | 20 | 317 | | Language | TypeScript | Shell | | Adopt for | 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 is a curated list tailored for developers working with Large Language Models (LLMs), providing resources for model training, serving, evaluation, deployment, and more. | | Persona | - | - | | Runtime | - | - | | License | The platform is under Other license, which means specific terms are provided beyond the information publicly available. | CC0-1.0 | | Categories | Evaluation & Observability | Computer Vision, Data & Retrieval, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ballerine](/tools/ballerine-io-ballerine.md) | [Awesome-LLMOps](/tools/tensorchord-awesome-llmops.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 1d | 121d | | Open issues (now) | 20 | 317 | | Stars delta | +13 (30d) | +26 (30d) | | Open issues delta | +11 (30d) | +70 (30d) | | Full report | [trust report](/tools/ballerine-io-ballerine/trust.md) | [trust report](/tools/tensorchord-awesome-llmops/trust.md) | ## Decision facts: ballerine - **Pricing:** freemium - While Ballerine has an open-source repository that is not currently supported, commercial SaaS options may be available for a fee. - **Adopt for:** Ballerine is an open-source infrastructure and data orchestration platform for risk decisioning that supports areas such as compliance, fraud detection and identity verification. - **License detail:** The platform is under Other license, which means specific terms are provided beyond the information publicly available. ## Decision facts: Awesome-LLMOps - **Adopt for:** 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. ## Choose when ### 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. ### 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 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 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. ## 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](/tools/ballerine-io-ballerine/alternatives) and [Awesome-LLMOps alternatives](/tools/tensorchord-awesome-llmops/alternatives) ([ballerine markdown twin](/tools/ballerine-io-ballerine/alternatives.md), [Awesome-LLMOps markdown twin](/tools/tensorchord-awesome-llmops/alternatives.md)), 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](/compare/ballerine-io-ballerine-vs-tensorchord-awesome-llmops.md) 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](/tools/ballerine-io-ballerine/trust); [Awesome-LLMOps trust report](/tools/tensorchord-awesome-llmops/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ballerine-io-ballerine`](/api/graphcanon/graph?tool=ballerine-io-ballerine) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_