# Scale3-Labs/langtrace

Langtrace 🔍 is an open-source,  Open Telemetry based end-to-end observability tool for LLM applications, providing real-time tracing, evaluations and metrics for popular LLMs, LLM frameworks, vectorDBs and more.. Integrate using Typescript, Python. 🚀💻📊

Repository: https://github.com/Scale3-Labs/langtrace
Canonical: https://ross.abutalabs.com/products/langtrace
Homepage: https://langtrace.ai
Language: TypeScript
License: AGPL-3.0
License Family: copyleft
Topics: ai, llm, observability, tracing, open-telemetry, datasets, evaluations, gpt, openai, prompt-engineering, langchain, llm-framework, llmops, open-source
Last push: 2025-11-17T15:08:48+00:00

## Health v2 (maintenance only)
Score: 50/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 52, release rhythm 40, longevity 63
- inputs: {"age_days": 886, "days_push": 289, "days_rel": 503, "gap_med": 3.0, "n_releases_24m": 35}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1229, forks 127 (observed 2026-08-28T04:04:03.652049+00:00)

## What it is
Langtrace is an open-source, OpenTelemetry-based observability platform for LLM applications, providing real-time tracing, metrics, and evaluations for LLM APIs, frameworks, and vector databases. It offers SDKs for TypeScript and Python and can be self-hosted or used as a cloud service.

## Use cases
- trace and debug LLM application calls
- monitor LLM API latency and costs
- add OpenTelemetry observability to LangChain apps
- self-host LLM observability dashboard
- evaluate LLM application performance
- track vector database usage metrics

## When to choose
- you need OpenTelemetry-standard tracing for LLM apps
- you want to self-host your LLM observability stack
- you use popular LLM frameworks like LangChain or OpenAI and need metrics
- you need both Python and TypeScript SDK support

## When to avoid
- you need general-purpose APM for non-LLM services
- you require a fully managed commercial support SLA
- AGPL-3.0 licensing is incompatible with your project

## Facets
- artifact type: service
- maturity: active
- function: monitoring, tracing, analytics, logging
- domain: large-language-models, monitoring, artificial-intelligence, developer-tools
- platform: self-hosted, cloud, python
- tags: llm-observability, open-telemetry, llmops, tracing, evaluations, langchain, openai, docker, nodejs, typescript

## Member repositories
- Scale3-Labs/langtrace (main) score 50

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:03.652049+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:15:05.356722+00:00, confidence not recorded.
  - readme: https://github.com/Scale3-Labs/langtrace (fetched 2026-08-28T04:04:03.652049+00:00, sha c74d8c469c8a)
- Data as of 2026-08-30T08:39:29.467469+00:00.