Comparison
TurboLLM vs ray-llm
Verdict
Pick TurboLLM if turboLLM offers local LLM execution optimized for GPU performance with a polished web UI and APIs compatible with OpenAI/Anthropic; pick ray-llm if archived LLM deployment tool integrated into Ray; now focus on built-in APIs (`ray.serve.llm` & `ray.data.llm`).
Markdown twin · TurboLLM alternatives · ray-llm alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | TurboLLM | ray-llm |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1w · github_public_v1 | Archived (507d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- TurboLLM
- Run any local LLM engine auto-tuned to your GPU with polished web UI and OpenAI/Anthropic-compatible API
- ray-llm
- Archived repository; LLM serving APIs integrated into the Ray project
Stars
- TurboLLM
- 225
- ray-llm
- 1.3k
Forks
- TurboLLM
- 36
- ray-llm
- 90
Open issues
- TurboLLM
- 6
- ray-llm
- 0
Language
- TurboLLM
- TypeScript
- ray-llm
- -
Adopt for
- TurboLLM
- TurboLLM offers local LLM execution optimized for GPU performance with a polished web UI and APIs compatible with OpenAI/Anthropic.
- ray-llm
- Archived LLM deployment tool integrated into Ray; now focus on built-in APIs (`ray.serve.llm` & `ray.data.llm`).
Persona
- TurboLLM
- -
- ray-llm
- -
Runtime
- TurboLLM
- -
- ray-llm
- -
License
- TurboLLM
- -
- ray-llm
- -
Last pushed
- TurboLLM
- Aug 11, 2026
- ray-llm
- Mar 13, 2025
Categories
- TurboLLM
- Inference & Serving, Model Training
- ray-llm
- Inference & Serving, Model Training
Trust and health
Maintenance
- TurboLLM
- Very active (96%)
- ray-llm
- Archived (8%)
Days since push
- TurboLLM
- 1d
- ray-llm
- 507d
Archived on GitHub
- TurboLLM
- No
- ray-llm
- Yes
Open issues (now)
- TurboLLM
- 6
- ray-llm
- 0
Owner type
- TurboLLM
- User
- ray-llm
- Organization
Full report
- TurboLLM
- Trust report
- ray-llm
- Trust report
Choose TurboLLM if…
- Tags unique to TurboLLM: ai, anthropic-api, claude-code, gpu.
- When you want to self-host an LLM service without external dependencies on Electron or Python.
- More recently updated (last pushed Aug 11, 2026).
When NOT to use TurboLLM
- If your setup does not include a GPU as TurboLLM primarily optimizes performance specifically for that hardware.
- When you require heavy model training capabilities on the same platform; TurboLLM focuses more on running and inference tasks with LLMs.
Choose ray-llm if…
- Tags unique to ray-llm: llm-serving, ray.
- For deploying LLMs with new Ray-integrated APIs, ensuring direct support and updates from the Ray team.
- More GitHub stars (1.3k vs 225) - visibility, not fit.
When NOT to use ray-llm
- If seeking a standalone solution distinct from Ray’s main project, preferring specialized tools.
- For needs requiring active maintenance and development in this specific repository; consider alternative up-to-date projects.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (mohitsoni48/TurboLLM) · observed Aug 13, 2026
- GitHub forks (mohitsoni48/TurboLLM) · observed Aug 13, 2026
- Last push (mohitsoni48/TurboLLM) · observed Aug 11, 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 (ray-project/ray-llm) · observed Aug 2, 2026
- GitHub forks (ray-project/ray-llm) · observed Aug 2, 2026
- Last push (ray-project/ray-llm) · observed Mar 13, 2025
- License file (unknown) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: TurboLLM 225 · ray-llm 1.3k (synced Aug 13, 2026).
Common questions
- What is the difference between TurboLLM and ray-llm?
- TurboLLM: Run any local LLM engine auto-tuned to your GPU with polished web UI and OpenAI/Anthropic-compatible API. ray-llm: Archived repository; LLM serving APIs integrated into the Ray project. See the comparison table for live GitHub stats and shared categories.
- When should I choose TurboLLM over ray-llm?
- Choose TurboLLM over ray-llm when Tags unique to TurboLLM: ai, anthropic-api, claude-code, gpu; When you want to self-host an LLM service without external dependencies on Electron or Python; More recently updated (last pushed Aug 11, 2026).
- When should I choose ray-llm over TurboLLM?
- Choose ray-llm over TurboLLM when Tags unique to ray-llm: llm-serving, ray; For deploying LLMs with new Ray-integrated APIs, ensuring direct support and updates from the Ray team; More GitHub stars (1.3k vs 225) - visibility, not fit.
- When should I avoid TurboLLM?
- If your setup does not include a GPU as TurboLLM primarily optimizes performance specifically for that hardware. When you require heavy model training capabilities on the same platform; TurboLLM focuses more on running and inference tasks with LLMs.
- When should I avoid ray-llm?
- If seeking a standalone solution distinct from Ray’s main project, preferring specialized tools. For needs requiring active maintenance and development in this specific repository; consider alternative up-to-date projects.
- Is TurboLLM or ray-llm more popular on GitHub?
- ray-llm has more GitHub stars (1,261 vs 225). Stars measure visibility, not whether either tool fits your constraints.
- Are TurboLLM and ray-llm open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to TurboLLM or ray-llm?
- GraphCanon lists graph-backed alternatives at TurboLLM alternatives and ray-llm alternatives (TurboLLM markdown twin, ray-llm 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, TurboLLM or ray-llm?
- TurboLLM: Very active. ray-llm: Archived. 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 TurboLLM and ray-llm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: TurboLLM trust report; ray-llm trust report.