---
id: lmnr
version: "0.7.59"
license: Apache-2.0
license_treatment: permissive
maintenance: active
---

# lmnr — Python SDK for Laminar

License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI

## Install

pip install lmnr
uv add lmnr
poetry add lmnr

## Description

# Laminar Python

Python SDK for [Laminar](https://www.lmnr.ai).

[Laminar](https://www.lmnr.ai) is an open-source platform for engineering LLM products. Trace, evaluate, annotate, and analyze LLM data. Bring LLM applications to production with confidence.

Check our [open-source repo](https://github.com/lmnr-ai/lmnr) and don't forget to star it ⭐

 <a href="https://pypi.org/project/lmnr/"> ![PyPI - Version](https://img.shields.io/pypi/v/lmnr?label=lmnr&logo=pypi&logoColor=3775A9) </a>
![PyPI - Downloads](https://img.shields.io/pypi/dm/lmnr)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/lmnr)


## Quickstart

First, install the package, specifying the instrumentations you want to use.

For example, to install the package with OpenAI and Anthropic instrumentations:

```sh
pip install 'lmnr[anthropic,openai]'
```

To install all possible instrumentations, use the following command:

```sh
pip install 'lmnr[all]'
```

Initialize Laminar in your code:

```python
from lmnr import Laminar

Laminar.initialize(project_api_key="<PROJECT_API_KEY>")
```

You can also skip passing the `project_api_key`, in which case it will be looked
in the environment (or local .env...

## AI interpretation — verify before relying

Python SDK for Laminar, an open-source platform for tracing, evaluating, and analyzing LLM application data. It provides automatic instrumentation of popular LLM libraries, manual span decoration, and local evaluation capabilities.

Verdict: Actively maintained SDK (0.7.59, released 2 days ago) for LLM observability and evaluation on Laminar. No known vulnerabilities, permissive Apache-2.0 license, and low install friction with stable dependencies. Well-suited for teams building LLM applications who want integrated tracing, instrumentation, and evaluation—though adoption depends on Laminar platform availability and API key provisioning.

[View on SkillFed](https://skillfed.io/packages/lmnr) · [View on PyPI](https://pypi.org/project/lmnr/)