Which is more popular, LMQL or Parlant?

Parlant has more GitHub stars (18,300 vs 4,217).

Which is more actively developed, LMQL or Parlant?

Parlant had more commits in the last 90 days (1 vs 0).

Should I use LMQL or Parlant?

Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.

LMQL vs Parlant

Side-by-side comparison of two AI agent tools

LMQLopen-source

A language for constraint-guided and efficient LLM programming.

Parlantopen-source

Build reliable customer-facing AI agents with Parlant: an interaction control harness optimized for controlled, consistent, and predictable LLM interactions.

Metrics

	LMQL	Parlant
Stars	4.2k	18.3k
Star velocity /mo	8.983957219251336	1.5k
Commits (90d)	0	1
Releases (6m)	0	2
Overall score	0.1974312581099438	0.505391333340504

Pros

+Native Python integration makes it accessible to existing Python developers while adding powerful LLM capabilities
+Constraint-based programming with the `where` keyword provides precise control over LLM outputs and behavior
+Seamless combination of traditional programming logic with LLM reasoning in a single, unified language

Cons

-As a specialized language, it requires learning new syntax and concepts beyond standard Python programming
-Limited to LLM-focused use cases, making it less suitable for general-purpose programming tasks
-Relatively new with 4,161 GitHub stars, indicating a smaller community compared to mainstream programming languages

Use Cases

•Building conversational AI applications that require complex logic and constraint-based response generation
•Creating automated content analysis and generation systems with precise output formatting requirements
•Developing interactive AI tutoring systems that combine algorithmic assessment with natural language reasoning

View LMQL Details View Parlant Details

FAQ

Which is more popular, LMQL or Parlant?: Parlant has more GitHub stars (18,300 vs 4,217).
Which is more actively developed, LMQL or Parlant?: Parlant had more commits in the last 90 days (1 vs 0).
Should I use LMQL or Parlant?: Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.