--- title: "determined vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/determined-ai-determined-vs-mintplex-labs-anything-llm" tools: ["determined-ai-determined", "mintplex-labs-anything-llm"] --- # determined vs anything-llm *GraphCanon updated Jul 11, 2026* ## Verdict Pick determined when determined is primarily Go; anything-llm is JavaScript; pick anything-llm when anything-llm is primarily JavaScript; determined is Go. [determined](https://determined.ai) reports 3.2k GitHub stars, 371 forks, and 107 open issues, last pushed Mar 20, 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 [determined's repository](https://github.com/determined-ai/determined) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [determined](/tools/determined-ai-determined.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow. | Self-hosted agent experience with deployment scripts for multiple environments | | Stars | 3,222 | 63,100 | | Forks | 371 | 6,907 | | Open issues | 107 | 320 | | Language | Go | JavaScript | | Adopt for | - | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Model Training, Inference & Serving, Developer Tools | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [determined](/tools/determined-ai-determined.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 478d | 0d | | Open issues (now) | 107 | 320 | | Security scan | 39 low (39 low) | No lockfile | | Full report | [trust report](/tools/determined-ai-determined/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 determined if… - determined is primarily Go; anything-llm is JavaScript. - License: determined is Apache-2.0, anything-llm is MIT. - Tags unique to determined: data-science, deep-learning, hyperparameter-search, distributed-training. - Also covers Model Training, Developer Tools. ### Choose anything-llm if… - anything-llm is primarily JavaScript; determined is Go. - License: anything-llm is MIT, determined is Apache-2.0. - Tags unique to anything-llm: no-code, llm, agentic-ai, agent-computer. - Also covers AI Agents. - When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ## When NOT to use determined - Last GitHub push was 478 days ago (dormant maintenance, Mar 20, 2025). Validate activity before betting a new project on determined. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ## 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 determined and anything-llm? determined: Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.. 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 determined over anything-llm? Choose determined over anything-llm when determined is primarily Go; anything-llm is JavaScript; License: determined is Apache-2.0, anything-llm is MIT; Tags unique to determined: data-science, deep-learning, hyperparameter-search, distributed-training; Also covers Model Training, Developer Tools. ### When should I choose anything-llm over determined? Choose anything-llm over determined when anything-llm is primarily JavaScript; determined is Go; License: anything-llm is MIT, determined is Apache-2.0; Tags unique to anything-llm: no-code, llm, agentic-ai, agent-computer; Also covers AI Agents; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### When should I avoid determined? Last GitHub push was 478 days ago (dormant maintenance, Mar 20, 2025). Validate activity before betting a new project on determined. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. ### 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 determined or anything-llm more popular on GitHub? anything-llm has more GitHub stars (63,100 vs 3,222). Stars measure visibility, not whether either tool fits your constraints. ### Are determined and anything-llm open source? Yes - both are open-source projects on GitHub (determined: Apache-2.0, anything-llm: MIT). ### Where can I find alternatives to determined or anything-llm? GraphCanon lists graph-backed alternatives at [determined alternatives](/tools/determined-ai-determined/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([determined markdown twin](/tools/determined-ai-determined/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/determined-ai-determined-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, determined or anything-llm? determined: Dormant. 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 determined and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [determined trust report](/tools/determined-ai-determined/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=determined-ai-determined`](/api/graphcanon/graph?tool=determined-ai-determined) - 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/_