Comparison
SwiftInfer vs PowerInfer
Verdict
Pick SwiftInfer if swiftInfer specializes in efficient inference and serving of deep-learning models including GPT, LLaMA, and LLaMA2; pick PowerInfer if powerInfer is a C++-based tool for high-speed local deployment of large language models, offering model conversion and inference capabilities.
Markdown twin · SwiftInfer alternatives · PowerInfer alternatives
GraphCanon updated Sep 20, 2026
10views this month
vs
Trust & integrity
| Signal | SwiftInfer | PowerInfer |
|---|---|---|
| Maintenance | Dormant (985d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (130d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | Published findings As of Sep 18, 2026 · 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
- SwiftInfer
- Efficient AI Inference Serving
- PowerInfer
- High-speed Large Language Model Serving for Local Deployment
Stars
- SwiftInfer
- 474
- PowerInfer
- 9.8k
Forks
- SwiftInfer
- 31
- PowerInfer
- 597
Open issues
- SwiftInfer
- 3
- PowerInfer
- 129
Language
- SwiftInfer
- Python
- PowerInfer
- C++
Adopt for
- SwiftInfer
- SwiftInfer specializes in efficient inference and serving of deep-learning models including GPT, LLaMA, and LLaMA2.
- PowerInfer
- PowerInfer is a C++-based tool for high-speed local deployment of large language models, offering model conversion and inference capabilities.
Persona
- SwiftInfer
- -
- PowerInfer
- -
Runtime
- SwiftInfer
- -
- PowerInfer
- -
License
- SwiftInfer
- Apache-2.0
- PowerInfer
- MIT License
Last pushed
- SwiftInfer
- Jan 8, 2024
- PowerInfer
- May 11, 2026
Categories
- SwiftInfer
- Inference & Serving
- PowerInfer
- Inference & Serving
Trust and health
Maintenance
- SwiftInfer
- Dormant (18%)
- PowerInfer
- Slowing (36%)
Days since push
- SwiftInfer
- 985d
- PowerInfer
- 130d
Open issues (now)
- SwiftInfer
- 3
- PowerInfer
- 129
Stars delta
- SwiftInfer
- -4 (30d)
- PowerInfer
- +87 (30d)
OSV dependency advisories
- SwiftInfer
- No lockfile (source not queried)
- PowerInfer
- Published findings
Full report
- SwiftInfer
- Trust report
- PowerInfer
- Trust report
Shared compatibility
- Python · SwiftInfer: Python runtime · PowerInfer: Python runtime
Choose SwiftInfer if…
- SwiftInfer is primarily Python; PowerInfer is C++.
- License: SwiftInfer is Apache-2.0, PowerInfer is MIT.
- Tags unique to SwiftInfer: artificial-intelligence, deep-learning, gpt, inference.
- When you need to efficiently serve models from popular frameworks like GPT, LLaMA, or LLaMA2 within a Python environment.
When NOT to use SwiftInfer
- Avoid if your primary model framework is not supported by SwiftInfer, such as TensorFlow or other non-listed frameworks.
- Do not use if you require a language other than Python for inference serving.
Choose PowerInfer if…
- PowerInfer is primarily C++; SwiftInfer is Python.
- License: PowerInfer is MIT, SwiftInfer is Apache-2.0.
- Requirements: Ensure that all dependencies listed in the requirements.txt file are installed before using PowerInfer..
- Tags unique to PowerInfer: large-language-models, llm, local-inference.
- When you need high-speed serving of large language models locally and prefer a C++-based solution.
When NOT to use PowerInfer
- If your deployment environment does not support C++ or if you prefer tools that do not require model conversion.
- When you are working with models that are not compatible with PowerInfer's conversion process or do not benefit from local deployment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (hpcaitech/SwiftInfer) · observed Sep 20, 2026
- GitHub forks (hpcaitech/SwiftInfer) · observed Sep 20, 2026
- Last push (hpcaitech/SwiftInfer) · observed Jan 8, 2024
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (Tiiny-AI/PowerInfer) · observed Sep 20, 2026
- GitHub forks (Tiiny-AI/PowerInfer) · observed Sep 20, 2026
- Last push (Tiiny-AI/PowerInfer) · observed May 11, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: SwiftInfer 474 · PowerInfer 9.8k (synced Sep 20, 2026).
Common questions
- What is the difference between SwiftInfer and PowerInfer?
- SwiftInfer: Efficient AI Inference Serving. PowerInfer: High-speed Large Language Model Serving for Local Deployment. See the comparison table for live GitHub stats and shared categories.
- When should I choose SwiftInfer over PowerInfer?
- Choose SwiftInfer over PowerInfer when SwiftInfer is primarily Python; PowerInfer is C++; License: SwiftInfer is Apache-2.0, PowerInfer is MIT; Tags unique to SwiftInfer: artificial-intelligence, deep-learning, gpt, inference; When you need to efficiently serve models from popular frameworks like GPT, LLaMA, or LLaMA2 within a Python environment.
- When should I choose PowerInfer over SwiftInfer?
- Choose PowerInfer over SwiftInfer when PowerInfer is primarily C++; SwiftInfer is Python; License: PowerInfer is MIT, SwiftInfer is Apache-2.0; Requirements: Ensure that all dependencies listed in the requirements.txt file are installed before using PowerInfer.; Tags unique to PowerInfer: large-language-models, llm, local-inference; When you need high-speed serving of large language models locally and prefer a C++-based solution.
- When should I avoid SwiftInfer?
- Avoid if your primary model framework is not supported by SwiftInfer, such as TensorFlow or other non-listed frameworks. Do not use if you require a language other than Python for inference serving.
- When should I avoid PowerInfer?
- If your deployment environment does not support C++ or if you prefer tools that do not require model conversion. When you are working with models that are not compatible with PowerInfer's conversion process or do not benefit from local deployment.
- Is SwiftInfer or PowerInfer more popular on GitHub?
- PowerInfer has more GitHub stars (9,805 vs 474). Stars measure visibility, not whether either tool fits your constraints.
- Are SwiftInfer and PowerInfer open source?
- Yes - both are open-source projects on GitHub (SwiftInfer: Apache-2.0, PowerInfer: MIT).
- Where can I find alternatives to SwiftInfer or PowerInfer?
- GraphCanon lists graph-backed alternatives at SwiftInfer alternatives and PowerInfer alternatives (SwiftInfer markdown twin, PowerInfer 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, SwiftInfer or PowerInfer?
- SwiftInfer: Dormant. PowerInfer: Slowing. 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 SwiftInfer and PowerInfer?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: SwiftInfer trust report; PowerInfer trust report.