Lunary vs Mastra: Which is Better in 2026?
A comprehensive comparison of Lunary and Mastra covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Lunary if:
- →You want more affordable paid plans (from $20/mo)
- →You need event logging with searchable traces for production and staging or cost, latency and quality tracking in one place
Choose Mastra if:
- →You need agents, tools, and workflows as typescript primitives or built-in observability: traces, metrics, and logs
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Lunary vs Mastra: At a Glance
Pricing Comparison: Lunary vs Mastra
Understanding the pricing differences between Lunary and Mastra is crucial for making the right choice. Here's how their plans compare side by side.
Lunary Pricing
Mastra Pricing
💡 Pricing takeaway: Both Lunary and Mastra offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Lunary and Mastra stacks up.
What Makes Each Tool Unique
🔵 Unique to Lunary
Features available in Lunary but not in Mastra:
- ✓Event logging with searchable traces for production and staging
- ✓Cost, latency and quality tracking in one place
- ✓Versioned prompt management decoupled from application code
- ✓AI playground for testing prompt variants on saved data
- ✓Human review, topic clustering and custom dashboards
- ✓Self-hosting with SSO, RBAC and PII masking on enterprise
🟣 Unique to Mastra
Features available in Mastra but not in Lunary:
- ✓Agents, tools, and workflows as TypeScript primitives
- ✓Built-in observability: traces, metrics, and logs
- ✓Evals, experiments, scorers, and datasets
- ✓Studio for collaborative iteration on agents
- ✓Server product for cloud deployment
- ✓Extensive learning material — course, books, templates, workshops
Use Case Recommendations
Best for: Lunary
Lunary is an observability and prompt-management platform for applications built on LLMs, covering the gap between a prototype that works in a notebook and a deployment you can be accountable for. It logs production and staging traffic as events, gives you searchable traces of what the model was asked and what it returned, tracks cost and latency, and surfaces how real users are actually interacting with a chatbot — which is routinely different from how the team assumed they would. Prompt management is versioned and separated from the application code, so a prompt change does not require a redeploy, and an AI playground lets you test variants against saved data before promoting one. Human review and topic clustering turn the raw log into something a product owner can act on, and Smart Views, custom dashboards and CSV/JSONL export cover the reporting layer. The platform is available self-hosted for teams whose data cannot leave their infrastructure, with SSO, granular access control, PII masking and data-warehouse connectors on the enterprise tier. It is a fit for small AI teams who need real observability without adopting a heavyweight enterprise APM, and the free tier covers personal projects at 10,000 events per month across three projects.
Ideal use cases:
- •Teams or individuals who need event logging with searchable traces for production and staging
- •Teams or individuals who need cost, latency and quality tracking in one place
- •Teams or individuals who need versioned prompt management decoupled from application code
- •Teams or individuals who need ai playground for testing prompt variants on saved data
- •Anyone focused on observability workflows
- •Anyone focused on prompt-management workflows
Best for: Mastra
Mastra is a TypeScript framework for building AI agents and the applications around them, built by the team that previously created Gatsby. The core framework covers agents, tools, and workflows as first-class primitives, so a long-running agent is expressed in ordinary TypeScript rather than assembled from prompt strings and glue code. Around that framework sits a platform: observability with metrics, logs, and traces so agent runs are inspectable after the fact; evals, experiments, scorers, and datasets for measuring whether a change actually improved behavior; a Studio for collaborating on and iterating over agents; an Agent Builder; and a Server product that handles cloud deployment for agents. The company emphasizes agents that run for days rather than single-turn calls, which is what pushes the observability and scoring surface to the center of the product instead of leaving it as an add-on. Mastra is open source with roughly 26.7k GitHub stars and maintains a substantial learning surface — a quickstart, project templates, a video course, two books (Principles of Building AI Agents and Patterns of Building AI Agents), live workshops, and a weekly podcast — which makes it one of the more approachable entry points for JavaScript developers moving into agent work.
Ideal use cases:
- •Teams or individuals who need agents, tools, and workflows as typescript primitives
- •Teams or individuals who need built-in observability: traces, metrics, and logs
- •Teams or individuals who need evals, experiments, scorers, and datasets
- •Teams or individuals who need studio for collaborative iteration on agents
- •Anyone focused on typescript workflows
- •Anyone focused on agent framework workflows
🤖 Other AI Agent Infrastructure Tools to Consider
Lunary and Mastra aren't the only options. Here are other popular tools in the same space:
SuperAGI
Open-source autonomous AI agent framework with visual dashboard — 14K GitHub stars
MetaGPT
Multi-agent AI framework simulating software teams — 45K GitHub stars, builds full apps from prompts
Cerebras
Fastest LLM inference powered by the Wafer Scale Engine.
Scale AI
AI data platform for training data and model evaluation.
Roboflow
End-to-end computer vision platform for developers.
Labelbox
Enterprise data labeling platform for ML training datasets.
Is one of these your tool?
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Frequently Asked Questions
Is Lunary better than Mastra?
It depends on your needs. Lunary offers 6 key features including Event logging with searchable traces for production and staging and Cost, latency and quality tracking in one place, while Mastra provides 6 features including Agents, tools, and workflows as TypeScript primitives and Built-in observability: traces, metrics, and logs. Lunary uses a freemium model with a free tier, while Mastra is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Lunary cheaper than Mastra?
Both tools are similarly priced, starting at $20/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Lunary and Mastra together?
Yes, many users combine Lunary and Mastra in their workflow. Lunary excels at event logging with searchable traces for production and staging, while Mastra shines with agents, tools, and workflows as typescript primitives. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Lunary and Mastra?
While both are ai agent infrastructure tools, Lunary emphasizes event logging with searchable traces for production and staging, whereas Mastra is known for agents, tools, and workflows as typescript primitives. The best choice depends on your specific workflow and feature priorities.
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