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Add DriftWatch — LLM behavioral drift detection and monitoring #288

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Expand Up @@ -160,6 +160,7 @@ An awesome & curated list of the best LLMOps tools for developers.
| ------------------------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ---------------------------------------------------------------------------------------------------------------- |
| [Azure OpenAI Logger](https://github.com/aavetis/azure-openai-logger) | "Batteries included" logging solution for your Azure OpenAI instance. | ![GitHub Badge](https://img.shields.io/github/stars/aavetis/azure-openai-logger?style=flat-square) |
| [Deepchecks](https://github.com/deepchecks/deepchecks) | Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort. | ![GitHub Badge](https://img.shields.io/github/stars/deepchecks/deepchecks.svg?style=flat-square) |
| [DriftWatch](https://genesisclawbot.github.io/llm-drift/) | Continuous behavioral drift detection for LLM APIs. Monitors prompts hourly against a baseline and alerts via Slack/email when GPT-4o, Claude, or Gemini silently change behaviour. No SDK changes required. | ![GitHub Badge](https://img.shields.io/github/stars/GenesisClawbot/llm-drift.svg?style=flat-square) |
| [Evidently](https://github.com/evidentlyai/evidently) | An open-source framework to evaluate, test and monitor ML and LLM-powered systems. | ![GitHub Badge](https://img.shields.io/github/stars/evidentlyai/evidently.svg?style=flat-square) |
| [Fiddler AI](https://github.com/fiddler-labs/fiddler-auditor) | Evaluate, monitor, analyze, and improve machine learning and generative models from pre-production to production. Ship more ML and LLMs into production, and monitor ML and LLM metrics like hallucination, PII, and toxicity. | ![GitHub Badge](https://img.shields.io/github/stars/fiddler-labs/fiddler-auditor.svg?style=flat-square) |
| [Giskard](https://github.com/Giskard-AI/giskard) | Testing framework dedicated to ML models, from tabular to LLMs. Detect risks of biases, performance issues and errors in 4 lines of code. | ![GitHub Badge](https://img.shields.io/github/stars/Giskard-AI/giskard.svg?style=flat-square)
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