haizelabs/verdict
Inference-time scaling for LLMs-as-a-judge.
- Stars
- 349
- Forks
- 31
- Open issues
- 3
- Last push
- 11mo ago
About verdict
verdict is a free, open-source AI developer tool by haizelabs, written mainly in Jupyter Notebook. Inference-time scaling for LLMs-as-a-judge. It has 349 GitHub stars and 31 forks, and was last updated 11mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Jupyter Notebook
- Stars
- 349
- Last update
- 11mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
Similar free tools
giskard-oss5.9k stars · 🐢 Open-Source Evaluation & Testing library for LLM Agents
deepeval19k stars · The LLM Evaluation Framework
RagaAI-Catalyst16k stars · Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced anal
helicone6.2k stars · 🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
HydraLab1.0k stars · Intelligent cloud testing made easy.
llm-gateway7.6k stars · Open Source LLM Gateway 🦚
verdict FAQ
Is verdict free?
Yes. verdict is open source and free to use. It's released under the MIT license, a standard open-source license.
Does verdict run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does verdict need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is verdict still maintained?
It was last updated 11mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to verdict?
Similar free, open-source tools include giskard-oss, deepeval, RagaAI-Catalyst, helicone.