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Promptly

QGIS plugin that provides a simple interface to send prompts to various LLM providers and execute the generated Python code in QGIS.

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Data offered docs-verified: Python code generated by an LLM from natural-language prompts, executed in QGIS
Formats docs-verified: QGIS Python plugin (ZIP install)
Access docs-verified: Free and open source under the MIT licence per docs (entry metadata says 'Other'). LLM API key required for OpenAI, OpenRouter, Anthropic and Custom providers; Ollama needs no key.

Use cases llm-inferred: Attribute calculations on project layers from a prompt (e.g. area in m² added as a new field) · Buffer generation around watercourse or asset layers, saved as a new layer · Quick attribute-based restyling of consultancy GIS layers
Audience llm-inferred: GIS analysts · QGIS users in flood and drainage consultancy · drainage engineers working in QGIS

Constraints llm-inferred: Generated Python runs inside QGIS, so output must be reviewed before execution · Requires a valid API key for OpenAI, OpenRouter, Anthropic and Custom providers; only local Ollama avoids a key · Ollama needs a separately installed local or remote instance; the plugin also needs the requests package · Responses must contain Python in ```python blocks or code extraction fails · Docs conflict on availability: one line says 'Avaliable Now' on the QGIS plugin store, another says it 'will soon be available' there · Licence conflict: entry metadata says 'Other', docs say MIT · Single-developer project with a personal contact email, so maintenance risk is likely · Requires QGIS 3.x and Python 3.x; no data sources or datasets are provided

Auto-extracted, unverified fields: tools, auth. Check upstream documentation.

Geospatial deep dive (Glama/Smithery/GitHub). Tools/install/auth auto-extracted from README.

Metadata observed 15/10/2026 · research sweep: geo-deep-dive (geo-deep-dive:github-search-geo)