lakevision
★ 52
vs
lmnr
★ 3.4k
lakevision vs lmnr
lakevision: Lakevision is a comprehensive tool designed to provide deep insights into Data Lakehouses built on the Apache Iceberg table format. It allows users to explore namespaces, tables, schemas, properties, and change history, facilitating efficient data governance and understanding.; lmnr: Laminar is an open-source observability platform specifically designed for AI agents. It provides comprehensive tools for tracing, evaluation, and monitoring of AI agent behavior and performance.
01
TL;DR
lakevisionObservability · ★ 52
Quickly understand the data layout, file locations, and change history within an Apache Iceberg-based Data Lakehouse.
lmnrObservability · ★ 3.4k
Debugging and understanding the execution flow and internal states of AI agents.
02
Side-by-Side Comparison
Field
lakevisionlmnrCategory
Observability
Observability
Stars
★ 52
★ 3.4k
License
Apache-2.0
Apache-2.0
Install Command
git clone https://github.com/lakevision-project/lakevision.git && cd lakevision && docker build -t lakevision:1.0 . && docker run --env-file .env -p 8081:8081 lakevision:1.0 /app/start.sh
git clone https://github.com/lmnr-ai/lmnr && cd lmnr && docker compose up -d
Updated
1mo ago
1d ago
Open Source
Yes
Yes
Tags
Data Lakehouse, Apache Iceberg, Data Catalog
AI Observability, Tracing, LLM Evals
03
Features
lakevision01Search and view all namespaces and tables, including their schema, properties, partition specs, and snapshots.
02Graphical summary of record additions over time and detailed partition information like record count, file count, and size.
03Lakehouse Health Feature for running, scheduling, and monitoring data quality and health checks.
04OIDC/OAuth-based authentication support and pluggable authorization for secure access control.
05Optional "Chat with Lakehouse" capability using an LLM.
lmnr01OpenTelemetry-native tracing SDK with support for various AI SDKs (Vercel AI SDK, LangChain, OpenAI, etc.).
02Unopinionated, extensible SDK and CLI for running evals, with a UI for visualizing and comparing results.
03AI monitoring with the ability to define events using natural language descriptions to track agent behavior.
04SQL access to all collected data (traces, metrics, events) via a built-in SQL editor and API.
05High-performance architecture written in Rust, featuring a custom real-time engine and ultra-fast full-text search.
04
Use Cases
lakevision↳Quickly understand the data layout, file locations, and change history within an Apache Iceberg-based Data Lakehouse.
↳Implement and monitor data quality standards and health checks across your lakehouse environment.
↳Securely manage and govern data access by integrating OIDC/OAuth authentication and custom authorization plugins.
↳Explore and analyze table-level metadata, such as schemas, partition details, and snapshots, for data management tasks.
↳Deploy a robust data lakehouse observability solution on Kubernetes or OpenShift for production environments.
lmnr↳Debugging and understanding the execution flow and internal states of AI agents.
↳Evaluating the performance, quality, and reliability of AI agents and their responses.
↳Monitoring AI agents in production for anomalies, logical errors, and custom business behaviors.
05
Best For
lakevision—
lmnrEssentialTrending
FAQ
FAQ
What is the difference between lakevision and lmnr?
Both lakevision and lmnr are in the Observability category. lakevision has 52 stars, while lmnr has 3.4k stars.
Which is better, lakevision or lmnr?
The best choice depends on your use case. Choose lakevision if Quickly understand the data layout, file locations, and change history within an Apache Iceberg-based Data Lakehouse., and lmnr if Debugging and understanding the execution flow and internal states of AI agents..
Is lakevision free or open source?
Yes, lakevision is open source on GitHub (Apache-2.0).
Is lmnr free or open source?
Yes, lmnr is open source on GitHub (Apache-2.0).
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