phoenix and langwatch

Phoenix is an established, mature observability platform with comprehensive tracing and evaluation capabilities, while LangWatch is an early-stage alternative attempting to provide similar end-to-end LLM ops functionality—making them direct competitors in the same market segment.

phoenix
81
Verified
langwatch
39
Emerging
Maintenance 22/25
Adoption 15/25
Maturity 25/25
Community 19/25
Maintenance 10/25
Adoption 2/25
Maturity 15/25
Community 12/25
Stars: 8,847
Forks: 753
Downloads:
Commits (30d): 271
Language: Jupyter Notebook
License:
Stars: 2
Forks: 1
Downloads:
Commits (30d): 0
Language: TypeScript
License:
No risk flags
No Package No Dependents

About phoenix

Arize-ai/phoenix

AI Observability & Evaluation

This tool helps AI practitioners understand and improve their Large Language Model (LLM) applications. You input your LLM's interactions and performance metrics, and it provides insights into how well your models are working and where they might be going wrong. It's for anyone building, evaluating, or maintaining LLM-powered applications, such as AI product managers, machine learning engineers, and data scientists.

LLM development AI evaluation Prompt engineering Model troubleshooting Experiment tracking

About langwatch

tenemos/langwatch

The open LLM Ops platform - Traces, Analytics, Evaluations, Datasets and Prompt Optimization ✨

Scores updated daily from GitHub, PyPI, and npm data. How scores work