--- title: "BodhiApp vs budgetml" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/bodhisearch-bodhiapp-vs-ebhy-budgetml" tools: ["bodhisearch-bodhiapp", "ebhy-budgetml"] --- # BodhiApp vs budgetml *GraphCanon updated Aug 13, 2026* ## Verdict Pick BodhiApp if bodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods; pick budgetml if budgetML is a Python library that leverages Google Cloud Preemptible instances to decrease the cost of deploying machine learning models for inference. [BodhiApp](https://getbodhi.app/) reports 136 GitHub stars, 10 forks, and 10 open issues, last pushed Jul 26, 2026. [budgetml](https://github.com/ebhy/budgetml) has 1.3k stars, 65 forks, and 4 open issues, last pushed Feb 12, 2024. Figures are from public GitHub metadata via [BodhiApp's repository](https://github.com/BodhiSearch/BodhiApp) and [budgetml's repository](https://github.com/ebhy/budgetml). | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [budgetml](/tools/ebhy-budgetml.md) | | --- | --- | --- | | Tagline | Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs | Deploys ML inference service economically | | Stars | 136 | 1,343 | | Forks | 10 | 65 | | Open issues | 10 | 4 | | Language | TypeScript | Python | | Adopt for | BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods. | BudgetML is a Python library that leverages Google Cloud Preemptible instances to decrease the cost of deploying machine learning models for inference. | | Persona | - | - | | Runtime | - | - | | License | The license information for BodhiApp has not been provided. | The tool is distributed under the Apache-2.0 license, allowing for free use in both open source and commercial projects. | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [BodhiApp](/tools/bodhisearch-bodhiapp.md) | [budgetml](/tools/ebhy-budgetml.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 18d | 901d | | Open issues (now) | 10 | 4 | | Full report | [trust report](/tools/bodhisearch-bodhiapp/trust.md) | [trust report](/tools/ebhy-budgetml/trust.md) | ## Decision facts: BodhiApp - **Pricing:** unknown - Pricing details are not mentioned in the repository data. - **Requirements:** Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen. - **Adopt for:** BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods. - **License detail:** The license information for BodhiApp has not been provided. ## Decision facts: budgetml - **Pricing:** freemium - Free to use, but users will incur costs based on their usage of Google Cloud Preemptible instances. - **Requirements:** Requires a working Python environment and access to Google Cloud services to deploy on Preemptible VMs; The library is available via PyPI or can be installed directly from GitHub for the latest features, at users' own risk - **Adopt for:** BudgetML is a Python library that leverages Google Cloud Preemptible instances to decrease the cost of deploying machine learning models for inference. - **License detail:** The tool is distributed under the Apache-2.0 license, allowing for free use in both open source and commercial projects. ## Choose when ### Choose BodhiApp if… - BodhiApp is primarily TypeScript; budgetml is Python. - Pricing: Pricing details are not mentioned in the repository data.. - Requirements: Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen.. - Tags unique to BodhiApp: gemma, generative-ai, llama, llm. - Also covers LLM Frameworks. - You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs. ### Choose budgetml if… - budgetml is primarily Python; BodhiApp is TypeScript. - Pricing: Free to use, but users will incur costs based on their usage of Google Cloud Preemptible instances.. - Requirements: Requires a working Python environment and access to Google Cloud services to deploy on Preemptible VMs; The library is available via PyPI or can be installed directly from GitHub for the latest features, at users' own risk. - Tags unique to budgetml: api, data-science, deployment, fastapi. - When you are looking to reduce costs significantly and have flexibility in your deployment schedule, since Preemptible instances can be interrupted ## When NOT to use BodhiApp - Your project strictly requires non-local deployment options, as BodhiApp focuses on local hosting of models. - If your environment is limited to unsupported GPU hardware or lacks adequate drivers for CUDA, ROCm, or Vulkan acceleration methods. - You need support beyond Mac platforms as BodhiApp does not yet provide installation instructions for other operating systems. ## When NOT to use budgetml - If you need absolute certainty that your ML service will not be interrupted at any point during operation - Not suitable for continuous and uninterrupted services, as Google Cloud Preemptible instances can be terminated with short notice ## Common questions ### What is the difference between BodhiApp and budgetml? BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. budgetml: Deploys ML inference service economically. See the comparison table for live GitHub stats and shared categories. ### When should I choose BodhiApp over budgetml? Choose BodhiApp over budgetml when BodhiApp is primarily TypeScript; budgetml is Python; Pricing: Pricing details are not mentioned in the repository data.; Requirements: Requires Docker; Requires Docker environment. Specific model requirements vary depending on the hardware variant chosen.; Tags unique to BodhiApp: gemma, generative-ai, llama, llm; Also covers LLM Frameworks; You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs. ### When should I choose budgetml over BodhiApp? Choose budgetml over BodhiApp when budgetml is primarily Python; BodhiApp is TypeScript; Pricing: Free to use, but users will incur costs based on their usage of Google Cloud Preemptible instances.; Requirements: Requires a working Python environment and access to Google Cloud services to deploy on Preemptible VMs; The library is available via PyPI or can be installed directly from GitHub for the latest features, at users' own risk; Tags unique to budgetml: api, data-science, deployment, fastapi; When you are looking to reduce costs significantly and have flexibility in your deployment schedule, since Preemptible instances can be interrupted. ### When should I avoid BodhiApp? Your project strictly requires non-local deployment options, as BodhiApp focuses on local hosting of models. If your environment is limited to unsupported GPU hardware or lacks adequate drivers for CUDA, ROCm, or Vulkan acceleration methods. You need support beyond Mac platforms as BodhiApp does not yet provide installation instructions for other operating systems. ### When should I avoid budgetml? If you need absolute certainty that your ML service will not be interrupted at any point during operation Not suitable for continuous and uninterrupted services, as Google Cloud Preemptible instances can be terminated with short notice ### Is BodhiApp or budgetml more popular on GitHub? budgetml has more GitHub stars (1,343 vs 136). Stars measure visibility, not whether either tool fits your constraints. ### Are BodhiApp and budgetml open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to BodhiApp or budgetml? GraphCanon lists graph-backed alternatives at [BodhiApp alternatives](/tools/bodhisearch-bodhiapp/alternatives) and [budgetml alternatives](/tools/ebhy-budgetml/alternatives) ([BodhiApp markdown twin](/tools/bodhisearch-bodhiapp/alternatives.md), [budgetml markdown twin](/tools/ebhy-budgetml/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/bodhisearch-bodhiapp-vs-ebhy-budgetml.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, BodhiApp or budgetml? BodhiApp: Active. budgetml: Dormant. 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 BodhiApp and budgetml? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [BodhiApp trust report](/tools/bodhisearch-bodhiapp/trust); [budgetml trust report](/tools/ebhy-budgetml/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=bodhisearch-bodhiapp`](/api/graphcanon/graph?tool=bodhisearch-bodhiapp) - 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/_