Comparison
petals vs BodhiApp
Verdict
Pick petals if petals is designed for users aiming to run large language models at home with potential speedups through a distributed, BitTorrent-style peer-to-peer network; pick BodhiApp if bodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
Markdown twin · petals alternatives · BodhiApp alternatives
GraphCanon updated 4d
vs
Trust & integrity
| Signal | petals | BodhiApp |
|---|---|---|
| Maintenance | Dormant (708d since push) As of 4d · github_public_v1 | Active (18d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4d · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- petals
- Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
- BodhiApp
- Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs
Stars
- petals
- 10k
- BodhiApp
- 136
Forks
- petals
- 642
- BodhiApp
- 10
Open issues
- petals
- 113
- BodhiApp
- 10
Language
- petals
- Python
- BodhiApp
- TypeScript
Adopt for
- petals
- Petals is designed for users aiming to run large language models at home with potential speedups through a distributed, BitTorrent-style peer-to-peer network.
- BodhiApp
- BodhiApp streamlines local deployment of open-source and open-weight LLMs via Docker images, compatible with multiple hardware acceleration methods.
Persona
- petals
- -
- BodhiApp
- -
Runtime
- petals
- -
- BodhiApp
- -
License
- petals
- MIT
- BodhiApp
- The license information for BodhiApp has not been provided.
Last pushed
- petals
- Sep 7, 2024
- BodhiApp
- Jul 26, 2026
Categories
- petals
- Inference & Serving, LLM Frameworks
- BodhiApp
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- petals
- Dormant (18%)
- BodhiApp
- Active (82%)
Days since push
- petals
- 708d
- BodhiApp
- 18d
Open issues (now)
- petals
- 113
- BodhiApp
- 10
Stars delta
- petals
- +212 (30d)
- BodhiApp
- Unknown
Open issues delta
- petals
- 0 (30d)
- BodhiApp
- Unknown
Full report
- petals
- Trust report
- BodhiApp
- Trust report
Choose petals if…
- petals is primarily Python; BodhiApp is TypeScript.
- Tags unique to petals: bloom, chatbot, deep-learning, distributed-systems.
- petals ships Docker support for self-hosted deployment.
- - When you want to leverage faster fine-tuning and inference of LLMs (up to 10x) by utilizing distributed layers across a network similar to a BitTorrent system.
When NOT to use petals
- - When your use case strictly requires on-premises computation and you do not wish to rely on external peer-to-peer distributed networks, as Petals' efficiency comes with a dependency on its network.
- - If you need absolute control over the data privacy and don't trust the decentralized system for sensitive information processing; petals uses a volunteer-computing model which might have variable or
Choose BodhiApp if…
- BodhiApp is primarily TypeScript; petals 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.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (bigscience-workshop/petals) · observed Aug 17, 2026
- GitHub forks (bigscience-workshop/petals) · observed Aug 17, 2026
- Last push (bigscience-workshop/petals) · observed Sep 7, 2024
- License file (MIT) · observed Aug 17, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: petals 10k · BodhiApp 136 (synced Aug 17, 2026).
Common questions
- What is the difference between petals and BodhiApp?
- petals: Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading. BodhiApp: Run Open Source/Open Weight LLMs locally with OpenAI compatible APIs. See the comparison table for live GitHub stats and shared categories.
- When should I choose petals over BodhiApp?
- Choose petals over BodhiApp when petals is primarily Python; BodhiApp is TypeScript; Tags unique to petals: bloom, chatbot, deep-learning, distributed-systems; petals ships Docker support for self-hosted deployment; - When you want to leverage faster fine-tuning and inference of LLMs (up to 10x) by utilizing distributed layers across a network similar to a BitTorrent system.
- When should I choose BodhiApp over petals?
- Choose BodhiApp over petals when BodhiApp is primarily TypeScript; petals 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; You need to deploy LLMs locally with flexible hardware support including AMD, NVIDIA GPUs, and CPUs.
- When should I avoid petals?
- - When your use case strictly requires on-premises computation and you do not wish to rely on external peer-to-peer distributed networks, as Petals' efficiency comes with a dependency on its network. - If you need absolute control over the data privacy and don't trust the decentralized system for sensitive information processing; petals uses a volunteer-computing model which might have variable or
- 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.
- Is petals or BodhiApp more popular on GitHub?
- petals has more GitHub stars (10,496 vs 136). Stars measure visibility, not whether either tool fits your constraints.
- Are petals and BodhiApp open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to petals or BodhiApp?
- GraphCanon lists graph-backed alternatives at petals alternatives and BodhiApp alternatives (petals markdown twin, BodhiApp 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, petals or BodhiApp?
- petals: Dormant. BodhiApp: 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 petals and BodhiApp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: petals trust report; BodhiApp trust report.