--- title: "budgetml vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ebhy-budgetml-vs-mintplex-labs-anything-llm" tools: ["ebhy-budgetml", "mintplex-labs-anything-llm"] --- # budgetml vs anything-llm *GraphCanon updated Jul 11, 2026* ## Verdict Pick budgetml when budgetml is primarily Python; anything-llm is JavaScript; pick anything-llm when anything-llm is primarily JavaScript; budgetml is Python. [budgetml](https://github.com/ebhy/budgetml) reports 1.3k GitHub stars, 65 forks, and 4 open issues, last pushed Feb 12, 2024. [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 [budgetml's repository](https://github.com/ebhy/budgetml) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [budgetml](/tools/ebhy-budgetml.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | Deploy a ML inference service on a budget in less than 10 lines of code. | Self-hosted agent experience with deployment scripts for multiple environments | | Stars | 1,343 | 63,100 | | Forks | 65 | 6,907 | | Open issues | 4 | 320 | | Language | Python | JavaScript | | Adopt for | - | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Inference & Serving | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [budgetml](/tools/ebhy-budgetml.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 880d | 0d | | Open issues (now) | 4 | 320 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/ebhy-budgetml/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 budgetml if… - budgetml is primarily Python; anything-llm is JavaScript. - License: budgetml is Apache-2.0, anything-llm is MIT. - Tags unique to budgetml: data-science, deployment, machine-learning, python. ### Choose anything-llm if… - anything-llm is primarily JavaScript; budgetml is Python. - License: anything-llm is MIT, budgetml 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 budgetml - Last GitHub push was 880 days ago (dormant maintenance, Feb 12, 2024). Validate activity before betting a new project on budgetml. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## 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 budgetml and anything-llm? budgetml: Deploy a ML inference service on a budget in less than 10 lines of code.. 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 budgetml over anything-llm? Choose budgetml over anything-llm when budgetml is primarily Python; anything-llm is JavaScript; License: budgetml is Apache-2.0, anything-llm is MIT; Tags unique to budgetml: data-science, deployment, machine-learning, python. ### When should I choose anything-llm over budgetml? Choose anything-llm over budgetml when anything-llm is primarily JavaScript; budgetml is Python; License: anything-llm is MIT, budgetml 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 budgetml? Last GitHub push was 880 days ago (dormant maintenance, Feb 12, 2024). Validate activity before betting a new project on budgetml. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### 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 budgetml or anything-llm more popular on GitHub? anything-llm has more GitHub stars (63,100 vs 1,343). Stars measure visibility, not whether either tool fits your constraints. ### Are budgetml and anything-llm open source? Yes - both are open-source projects on GitHub (budgetml: Apache-2.0, anything-llm: MIT). ### Where can I find alternatives to budgetml or anything-llm? GraphCanon lists graph-backed alternatives at [budgetml alternatives](/tools/ebhy-budgetml/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([budgetml markdown twin](/tools/ebhy-budgetml/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/ebhy-budgetml-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, budgetml or anything-llm? budgetml: 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 budgetml and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [budgetml trust report](/tools/ebhy-budgetml/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ebhy-budgetml`](/api/graphcanon/graph?tool=ebhy-budgetml) - 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/_