DSPy
Stanford NLP and the DSPy community · Prompting, evaluation & observability
Python framework for programming language-model pipelines with typed signatures and modules, then optimizing prompts and weights automatically against a metric
5 tools
Stanford NLP and the DSPy community · Prompting, evaluation & observability
Python framework for programming language-model pipelines with typed signatures and modules, then optimizing prompts and weights automatically against a metric
Langfuse (part of ClickHouse, Inc. since January 2026) · Prompting, evaluation & observability
Open-source LLM observability and evaluation platform: tracing, LLM-as-judge and human evals, prompt management, datasets and cost dashboards, self-hostable or as Langfuse Cloud
Promptfoo, Inc. · Prompting, evaluation & observability
Open-source, local-first CLI and library for evaluating prompts, models, RAG pipelines and agents, with automated red teaming and CI integration
Pydantic Services Inc. · Agent frameworks & orchestration
Type-safe Python agent framework from the Pydantic team with validated structured outputs, dependency injection, swappable model providers, MCP, durable execution and evals
Vibrant Labs (formerly Exploding Gradients) · Prompting, evaluation & observability
Open-source Python library for evaluating LLM and RAG applications with LLM-driven and custom metrics, experiments, dataset management and result tracking
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