Best Telemetry Software for LangChain
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Compare the Top Telemetry Software that integrates with LangChain as of June 2025
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This a list of Telemetry software that integrates with LangChain. Use the filters on the left to add additional filters for products that have integrations with LangChain. View the products that work with LangChain in the table below.
What is Telemetry Software for LangChain?
Telemetry software is designed to collect, transmit, and analyze data from remote or distributed systems in real time. It allows organizations to monitor the performance, health, and behavior of various devices, machines, or applications from a central location. The software gathers data such as system metrics, error logs, or user interactions, and sends it to a centralized database or server for analysis. This data is then used to identify issues, optimize performance, or predict future problems. Telemetry software is widely used in industries like aerospace, automotive, telecommunications, and IT infrastructure for proactive maintenance and decision-making. Compare and read user reviews of the best Telemetry software for LangChain currently available using the table below. This list is updated regularly.
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1
Langtrace
Langtrace
Langtrace is an open source observability tool that collects and analyzes traces and metrics to help you improve your LLM apps. Langtrace ensures the highest level of security. Our cloud platform is SOC 2 Type II certified, ensuring top-tier protection for your data. Supports popular LLMs, frameworks, and vector databases. Langtrace can be self-hosted and supports OpenTelemetry standard traces, which can be ingested by any observability tool of your choice, resulting in no vendor lock-in. Get visibility and insights into your entire ML pipeline, whether it is a RAG or a fine-tuned model with traces and logs that cut across the framework, vectorDB, and LLM requests. Annotate and create golden datasets with traced LLM interactions, and use them to continuously test and enhance your AI applications. Langtrace includes built-in heuristic, statistical, and model-based evaluations to support this process.Starting Price: Free -
2
Arize Phoenix
Arize AI
Phoenix is an open-source observability library designed for experimentation, evaluation, and troubleshooting. It allows AI engineers and data scientists to quickly visualize their data, evaluate performance, track down issues, and export data to improve. Phoenix is built by Arize AI, the company behind the industry-leading AI observability platform, and a set of core contributors. Phoenix works with OpenTelemetry and OpenInference instrumentation. The main Phoenix package is arize-phoenix. We offer several helper packages for specific use cases. Our semantic layer is to add LLM telemetry to OpenTelemetry. Automatically instrumenting popular packages. Phoenix's open-source library supports tracing for AI applications, via manual instrumentation or through integrations with LlamaIndex, Langchain, OpenAI, and others. LLM tracing records the paths taken by requests as they propagate through multiple steps or components of an LLM application.Starting Price: Free
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