Lacquer VS Laminar

Let’s have a side-by-side comparison of Lacquer vs Laminar to find out which one is better. This software comparison between Lacquer and Laminar is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether Lacquer or Laminar fits your business.

Lacquer

Lacquer
Learn More | Visit Site
Lacquer: The open-source AI workflow engine for code-first engineering teams. Automate complex tasks & build GitOps-native AI internal tools.

Laminar

Laminar
Learn More | Visit Site
Laminar: The open-source platform for AI agent developers. Monitor, debug & improve agent performance with real-time observability, powerful evaluations & SQL insights.

Lacquer

Launched 2025-06
Pricing Model Free
Starting Price
Tech used
Tag Developer Tools,Workflow Automation,Multi-agent Framework

Laminar

Launched 2025-08
Pricing Model Free Trial
Starting Price
Tech used
Tag Data Analysis,Agent Development Frameworks,Developer Tools

Lacquer Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

Laminar Rank/Visit

Global Rank
Country Germany
Month Visit 33

Top 5 Countries

100%
Germany

Traffic Sources

3.69%
1.67%
0.21%
13.63%
43.18%
36.53%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Lacquer and Laminar, you can also consider the following products

Open Agent Kit - Build custom AI agents fast with Open Agent Kit! Open-source, flexible, & deployable anywhere. Connect LLMs & extend with plugins.

Openlayer - Openlayer: Unified AI governance & observability for enterprise ML & GenAI. Ensure trust, security, & compliance; prevent prompt injection & PII leakage. Deploy AI with confidence.

Kagent - Open-source tools for DevOps and platform engineers to build, deploy, and run AI-powered solutions in Kubernetes. From intelligent agents to MCP servers.

Laminar AI - Laminar is a developer platform that combines orchestration, evaluations, data, and observability to empower AI developers to ship reliable LLM applications 10x faster.

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