Comparison
BodhiApp vs budgetml
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.
Markdown twin · BodhiApp alternatives · budgetml alternatives
GraphCanon updated 6d
vs
Trust & integrity
| Signal | BodhiApp | budgetml |
|---|---|---|
| Maintenance | Active (18d since push) As of 6d · github_public_v1 | Dormant (901d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 6d · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- BodhiApp
- Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs
- budgetml
- Deploys ML inference service economically
Stars
- BodhiApp
- 136
- budgetml
- 1.3k
Forks
- BodhiApp
- 10
- budgetml
- 65
Open issues
- BodhiApp
- 10
- budgetml
- 4
Language
- BodhiApp
- TypeScript
- budgetml
- Python
Adopt for
- BodhiApp
- BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
- budgetml
- BudgetML is a Python library that leverages Google Cloud Preemptible instances to decrease the cost of deploying machine learning models for inference.
Persona
- BodhiApp
- -
- budgetml
- -
Runtime
- BodhiApp
- -
- budgetml
- -
License
- BodhiApp
- The license information for BodhiApp has not been provided.
- budgetml
- The tool is distributed under the Apache-2.0 license, allowing for free use in both open source and commercial projects.
Last pushed
- BodhiApp
- Jul 26, 2026
- budgetml
- Feb 12, 2024
Categories
- BodhiApp
- Inference & Serving, LLM Frameworks
- budgetml
- Inference & Serving
Trust and health
Maintenance
- BodhiApp
- Active (82%)
- budgetml
- Dormant (18%)
Days since push
- BodhiApp
- 18d
- budgetml
- 901d
Open issues (now)
- BodhiApp
- 10
- budgetml
- 4
OSV dependency advisories
- BodhiApp
- No lockfile (source not queried)
- budgetml
- No published findings from this source as of 2026-07-11
Full report
- BodhiApp
- Trust report
- budgetml
- Trust report
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.
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.
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 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (BodhiSearch/BodhiApp) · observed Aug 13, 2026
- GitHub forks (BodhiSearch/BodhiApp) · observed Aug 13, 2026
- Last push (BodhiSearch/BodhiApp) · observed Jul 26, 2026
- License file (unknown) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (ebhy/budgetml) · observed Aug 2, 2026
- GitHub forks (ebhy/budgetml) · observed Aug 2, 2026
- Last push (ebhy/budgetml) · observed Feb 12, 2024
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: BodhiApp 136 · budgetml 1.3k (synced Aug 13, 2026).
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 and budgetml alternatives (BodhiApp markdown twin, budgetml markdown twin), 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 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; budgetml trust report.