Extract structured data from any LLM with type safety and validation
LMQL
A programming language for LLM interaction, built as a superset of Python
About LMQL
LMQL is an open-source query language for large language models, developed by the SRI Lab at ETH Zurich. It lets developers interleave Python control flow with prompts, typed variables and hard constraints on generated output, and runs portably across backends including OpenAI, Azure OpenAI and Hugging Face Transformers. It ships with a playground IDE and VS Code tooling. It is for developers who need precise, programmatic control over model behavior.
LMQL website preview
Live preview of lmql.ai via the WordPress mShots service — it can take a few seconds to generate on a first visit.
LMQL: strengths & things to check
Strengths
- Completely free to use — this directory lists no paid plan for it.
- Covers open source, prompting, python, llm — see the focus areas listed in its key facts.
- Has 6 close alternatives in the same category on this page, so switching or comparing is easy.
Things to check
- Free tools can change their model or shut down — avoid locking critical work into it without an export path.
- Current plan prices are not listed here (they change too often to print reliably) — confirm the exact price on the official site.
- It is one of 1164 tools in the Developer Tools category here — compare it against the alternatives below before you commit.
Derived from this listing's own data (pricing model, focus areas and category) — not a hands-on review score.
LMQL pricing
| Pricing model | Free — listed in this directory as a free tool, with no paid plan required to use it. |
|---|---|
| Free access | Yes — fully free |
| Current plan prices | Listed on the official site — prices change, so this directory links out instead of printing a number that may already be stale. |
| Official site | lmql.ai |
LMQL key facts
- Category: Developer Tools
- Pricing: Free — listed in this directory as a free tool, with no paid plan required to use it.
- Focus areas: open source, prompting, python, llm
- Official site: lmql.ai
LMQL FAQ
How much does LMQL cost?
Free — listed in this directory as a free tool, with no paid plan required to use it. Current plans and prices are listed on the official site (lmql.ai).
What is LMQL used for?
A programming language for LLM interaction, built as a superset of Python Its focus areas in the Developer Tools category: open source, prompting, python, llm.
Where can I try LMQL?
On its official site, lmql.ai — the Visit Official Site button above goes straight there.
LMQL vs alternatives
| LMQL | Instructor | Chainlit | git-cola | |
|---|---|---|---|---|
| Pricing | Free — listed in this directory as a free tool, with no paid plan required to use it. | Free — listed in this directory as a free tool, with no paid plan required to use it. | Free — listed in this directory as a free tool, with no paid plan required to use it. | Free — listed in this directory as a free tool, with no paid plan required to use it. |
| Focus areas | open source, prompting, python, llm | llm, structured output, pydantic, python, open source | open source, python, conversational ai, framework, chat ui | git, gui, open source, python |
| Official site | lmql.ai | python.useinstructor.com | chainlit.io | git-cola.github.io |
| Directory status | Listed | Listed | Listed | Listed |
Side-by-side from each listing's own directory data. Full alternative cards are below.
About the Developer Tools category
Editors, platforms, and services developers rely on to build and ship software. The Developer Tools category on Tools Hub currently lists 1164 tools. Alongside LMQL, it includes ChatWithCloud, Pagerly, StarOps, GoCodeo.
Alternatives to LMQL
Tools in the same Developer Tools category that share focus areas with LMQL — worth comparing before you commit:
Open-source Python framework for building production-ready conversational AI applications.
Sleek and powerful Git GUI written in Python
Open-Source AI Gateway with Workflows, Aliases, and Usage Tracking
Build, evaluate, and optimize AI systems with evals and fine-tuning.
Load testing framework written in Python
More in Developer Tools
Comparing tools in the Developer Tools category? These related listings are worth a look: ChatWithCloud — AWS natural language CLI: ask your AWS account questions in your terminal; Pagerly — On-calls, rotations, incidents and tasks on Slack and Microsoft Teams; StarOps — AI platform engineer by Ingenimax for deploying and troubleshooting cloud infrastructure.
AWS natural language CLI: ask your AWS account questions in your terminal
On-calls, rotations, incidents and tasks on Slack and Microsoft Teams
AI platform engineer by Ingenimax for deploying and troubleshooting cloud infrastructure
An AI coding and testing agent inside VS Code for building and shipping code
Open source AI coding agent in your IDE, CLI and cloud
Microsoft Azure speech services including neural text-to-speech, transcription and translation