Azure AI Evaluation
Microsoft evaluation library for assessing LLM and AI application quality.
Prompts, structured output and evals PyPI MIT
How Azure AI Evaluation is used
Azure AI Evaluation is a dependency in 4 of the 6,208 public GitHub projects set up for AI coding agents that we scanned, too few to describe it from them alone. Our scan also samples projects by dependency (Solana 2,661, Ethereum and EVM 1,496, 3D and games 2,818, agent frameworks and SDKs 10,983); counting those, it appears in 28 projects, and what it is used with below comes from all of them. Projects that use it most often also use python-dotenv (92.9%), azure-identity (85.7%), OpenAI Python Library (64.3%).
Azure AI Evaluation popularity over time
Gid Score 39: downloads 35, use in agent projects 32, GitHub stars 40, downloads trend 59 (each 0-100). How it is calculated.
Often used with Azure AI Evaluation
| python-dotenv | 92.9% of Azure AI Evaluation projects · 10.1× more than average |
|---|---|
| azure-identity | 85.7% of Azure AI Evaluation projects · 120.9× more than average |
| OpenAI Python Library | 64.3% of Azure AI Evaluation projects · 16.3× more than average |
| Azure AI Projects | 64.3% of Azure AI Evaluation projects · 249.4× more than average |
| Uvicorn | 50.0% of Azure AI Evaluation projects · 6.5× more than average |
| Requests | 46.4% of Azure AI Evaluation projects · 6.8× more than average |
| Pydantic | 46.4% of Azure AI Evaluation projects · 5.4× more than average |
| Azure Search Documents | 42.9% of Azure AI Evaluation projects · 665.1× more than average |
From all 28 projects in our scan that use Azure AI Evaluation, including the dependency samples.
Install
| Package | pip install azure-ai-evaluation |
|---|---|
| Main stacks | Python (28) |
| Example projects | martaldsantos/agentic-ai-hack, Azure/agent-innovator-lab, dhangerkapil/agentic-ai-lab, denniszielke/frontier-agents-workshop, codetocloudorg/azure-agentic-engineering |
Alternatives to Azure AI Evaluation
In our scan, none of the most used tools in Prompts, structured output and evals does the same job as Azure AI Evaluation: they are add-ons, companions or tools for a different task.
More in Prompts, structured output and evals: Ultracite tiktoken (Python) tokenizers LangSmith Langfuse (Python) GPT Tokenizer TokenLens @graphql-codegen/typescript-operations