--- title: "llm-leaderboard vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jonathanchaveztamales-llm-leaderboard-vs-mintplex-labs-anything-llm" tools: ["jonathanchaveztamales-llm-leaderboard", "mintplex-labs-anything-llm"] --- # llm-leaderboard vs anything-llm *GraphCanon updated Jul 11, 2026* ## Verdict Pick llm-leaderboard when license: llm-leaderboard is Other, anything-llm is MIT; pick anything-llm when license: anything-llm is MIT, llm-leaderboard is Other. [llm-leaderboard](https://llm-stats.com) reports 360 GitHub stars, 40 forks, and 14 open issues, last pushed Oct 24, 2025. [anything-llm](https://anythingllm.com) has 63k stars, 6.9k forks, and 320 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [llm-leaderboard's repository](https://github.com/JonathanChavezTamales/llm-leaderboard) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [llm-leaderboard](/tools/jonathanchaveztamales-llm-leaderboard.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | A comprehensive set of LLM benchmark scores and provider prices. (deprecated, read more in README) | Self-hosted agent experience with deployment scripts for multiple environments | | Stars | 360 | 63,100 | | Forks | 40 | 6,907 | | Open issues | 14 | 320 | | Language | JavaScript | JavaScript | | Adopt for | - | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | AI Agents, Evaluation & Observability, LLM Frameworks | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [llm-leaderboard](/tools/jonathanchaveztamales-llm-leaderboard.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 259d | 0d | | Open issues (now) | 14 | 320 | | Owner type | User | Organization | | Full report | [trust report](/tools/jonathanchaveztamales-llm-leaderboard/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: anything-llm - **Adopt for:** Self-hosted AI agent experience with robust deployment scripts across multiple environments. ## Choose when ### Choose llm-leaderboard if… - License: llm-leaderboard is Other, anything-llm is MIT. - Tags unique to llm-leaderboard: javascript, llm-agents, llm-evaluation, llmops. - Also covers Evaluation & Observability, LLM Frameworks. ### Choose anything-llm if… - License: anything-llm is MIT, llm-leaderboard is Other. - Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, local-ai. - Also covers Inference & Serving. - When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ## When NOT to use llm-leaderboard - Last GitHub push was 260 days ago (slowing maintenance, Oct 24, 2025). Validate activity before betting a new project on llm-leaderboard. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use anything-llm - Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. - Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ## Common questions ### What is the difference between llm-leaderboard and anything-llm? llm-leaderboard: A comprehensive set of LLM benchmark scores and provider prices. (deprecated, read more in README). anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. See the comparison table for live GitHub stats and shared categories. ### When should I choose llm-leaderboard over anything-llm? Choose llm-leaderboard over anything-llm when License: llm-leaderboard is Other, anything-llm is MIT; Tags unique to llm-leaderboard: javascript, llm-agents, llm-evaluation, llmops; Also covers Evaluation & Observability, LLM Frameworks. ### When should I choose anything-llm over llm-leaderboard? Choose anything-llm over llm-leaderboard when License: anything-llm is MIT, llm-leaderboard is Other; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, local-ai; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### When should I avoid llm-leaderboard? Last GitHub push was 260 days ago (slowing maintenance, Oct 24, 2025). Validate activity before betting a new project on llm-leaderboard. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid anything-llm? Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ### Is llm-leaderboard or anything-llm more popular on GitHub? anything-llm has more GitHub stars (63,100 vs 360). Stars measure visibility, not whether either tool fits your constraints. ### Are llm-leaderboard and anything-llm open source? Yes - both are open-source projects on GitHub (llm-leaderboard: Other, anything-llm: MIT). ### Where can I find alternatives to llm-leaderboard or anything-llm? GraphCanon lists graph-backed alternatives at [llm-leaderboard alternatives](/tools/jonathanchaveztamales-llm-leaderboard/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([llm-leaderboard markdown twin](/tools/jonathanchaveztamales-llm-leaderboard/alternatives.md), [anything-llm markdown twin](/tools/mintplex-labs-anything-llm/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/jonathanchaveztamales-llm-leaderboard-vs-mintplex-labs-anything-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, llm-leaderboard or anything-llm? llm-leaderboard: Slowing. anything-llm: Very 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 llm-leaderboard and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [llm-leaderboard trust report](/tools/jonathanchaveztamales-llm-leaderboard/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jonathanchaveztamales-llm-leaderboard`](/api/graphcanon/graph?tool=jonathanchaveztamales-llm-leaderboard) - 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/_