--- title: "Liger-Kernel vs kvcached" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/linkedin-liger-kernel-vs-ovg-project-kvcached" tools: ["linkedin-liger-kernel", "ovg-project-kvcached"] --- # Liger-Kernel vs kvcached *GraphCanon updated Jul 12, 2026* ## Verdict Pick Liger-Kernel when license: Liger-Kernel is BSD-2-Clause, kvcached is Apache-2.0; pick kvcached when license: kvcached is Apache-2.0, Liger-Kernel is BSD-2-Clause. [Liger-Kernel](https://linkedin.github.io/Liger-Kernel/) reports 6.5k GitHub stars, 554 forks, and 161 open issues, last pushed Jul 6, 2026. [kvcached](https://github.com/ovg-project/kvcached) has 1.1k stars, 122 forks, and 90 open issues, last pushed Jul 2, 2026. Figures are from public GitHub metadata via [Liger-Kernel's repository](https://github.com/linkedin/Liger-Kernel) and [kvcached's repository](https://github.com/ovg-project/kvcached). | | [Liger-Kernel](/tools/linkedin-liger-kernel.md) | [kvcached](/tools/ovg-project-kvcached.md) | | --- | --- | --- | | Tagline | Efficient Triton Kernels for LLM Training | Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond | | Stars | 6,494 | 1,093 | | Forks | 554 | 122 | | Open issues | 161 | 90 | | Language | Python | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | BSD-2-Clause | Apache-2.0 | | Categories | LLM Frameworks, Model Training | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Liger-Kernel](/tools/linkedin-liger-kernel.md) | [kvcached](/tools/ovg-project-kvcached.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 4d | 9d | | Open issues (now) | 161 | 90 | | Full report | [trust report](/tools/linkedin-liger-kernel/trust.md) | [trust report](/tools/ovg-project-kvcached/trust.md) | ## Choose when ### Choose Liger-Kernel if… - License: Liger-Kernel is BSD-2-Clause, kvcached is Apache-2.0. - Tags unique to Liger-Kernel: finetuning, gemma2, hacktoberfest, llama. - Also covers Model Training. ### Choose kvcached if… - License: kvcached is Apache-2.0, Liger-Kernel is BSD-2-Clause. - Tags unique to kvcached: elastic-kvcache, gpu-mutiplexing, gpu-sharing, inference-engine. - Also covers Inference & Serving. ## When NOT to use Liger-Kernel - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use kvcached - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between Liger-Kernel and kvcached? Liger-Kernel: Efficient Triton Kernels for LLM Training. kvcached: Virtualized Elastic KV Cache for Dynamic GPU Sharing and Beyond. See the comparison table for live GitHub stats and shared categories. ### When should I choose Liger-Kernel over kvcached? Choose Liger-Kernel over kvcached when License: Liger-Kernel is BSD-2-Clause, kvcached is Apache-2.0; Tags unique to Liger-Kernel: finetuning, gemma2, hacktoberfest, llama; Also covers Model Training. ### When should I choose kvcached over Liger-Kernel? Choose kvcached over Liger-Kernel when License: kvcached is Apache-2.0, Liger-Kernel is BSD-2-Clause; Tags unique to kvcached: elastic-kvcache, gpu-mutiplexing, gpu-sharing, inference-engine; Also covers Inference & Serving. ### When should I avoid Liger-Kernel? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid kvcached? Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is Liger-Kernel or kvcached more popular on GitHub? Liger-Kernel has more GitHub stars (6,494 vs 1,093). Stars measure visibility, not whether either tool fits your constraints. ### Are Liger-Kernel and kvcached open source? Yes - both are open-source projects on GitHub (Liger-Kernel: BSD-2-Clause, kvcached: Apache-2.0). ### Where can I find alternatives to Liger-Kernel or kvcached? GraphCanon lists graph-backed alternatives at [Liger-Kernel alternatives](/tools/linkedin-liger-kernel/alternatives) and [kvcached alternatives](/tools/ovg-project-kvcached/alternatives) ([Liger-Kernel markdown twin](/tools/linkedin-liger-kernel/alternatives.md), [kvcached markdown twin](/tools/ovg-project-kvcached/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/linkedin-liger-kernel-vs-ovg-project-kvcached.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Liger-Kernel or kvcached? Liger-Kernel: Very active. kvcached: Active. 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 Liger-Kernel and kvcached? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Liger-Kernel trust report](/tools/linkedin-liger-kernel/trust); [kvcached trust report](/tools/ovg-project-kvcached/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=linkedin-liger-kernel`](/api/graphcanon/graph?tool=linkedin-liger-kernel) - 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/_