winfunc vs AirLLM
A side-by-side comparison of features, pricing, and characteristics.
winfunc
Winfunc is an autonomous security auditing tool that connects to codebases to identify vulnerabilities using formal verification and executable exploits.
Read the full reviewAirLLM
Open-source Python library that runs very large language models on low-memory GPUs by streaming model layers one at a time.
Read the full review| Attribute | winfunc | AirLLM |
|---|---|---|
| Pricing type | Contact for pricing | Free |
| Korean support | No | No |
| Platforms | Desktop | Linux, macOS, CUDA-enabled NVIDIA GPUs, Apple Silicon |
| Open source | Yes | Yes |
| API available | - | - |
| SDK | - | - |
| LLM-based | Yes | - |
| Multimodal | - | - |
| AI model | GPT, Claude, DeepSeek R1 | Llama, Qwen, DeepSeek, Mistral, Mixtral, Phi, Gemma |
| GitHub Stars | 20.5K | 33.8K |
| Vendor | winfunc | Anima AI LLC |
| Category | Developer Tools | Developer Tools |
| Details | View | View |
winfunc key features
- Autonomous security audit with auto-generated Proof-of-Concepts
- Automated patches via Pull Requests for continuous protection
- Formal verification engine ensuring zero false positives
- Detection of business logic errors and race conditions
AirLLM key features
- Reducing GPU memory usage through layer-wise model streaming
- Supporting inference of 70B-class models on a single 4GB GPU
- AutoModel interface based on Hugging Face model IDs
- 4-bit and 8-bit block-wise model compression
- Supporting CPU inference and Apple Silicon macOS
- Supporting various model families including Llama, Qwen, DeepSeek, and Mistral