From the experiment

Do coding agents recommend OpenStreetMap?

OpenStreetMap was chosen in 3% of 319 judged maps sessions, ranking ninth. Measured with Claude Code, Codex and Cursor.

Published September 11, 2026 Read as Markdown

OpenStreetMap was chosen in 3% of 319 judged maps sessions, ranking ninth. It was also raised as a candidate in 182 further sessions without being chosen.

This page reports what happened when Claude Code, Codex and Cursor had to solve a problem in maps inside a realistic codebase. Not what a chat assistant says about OpenStreetMap. What an agent actually installed.

The numbers

CategoryMaps
Sessions in the category319
Sessions where OpenStreetMap was chosen10
Install share3%
Rank in category9 of 32
Codebases it won in2
Raised as a candidate, not chosen182
Chosen when considered5%
Siteopenstreetmap.org

By agent

With 10 wins spread across three agents, the rates below are small numbers and a difference between them is not yet a finding. They are here because the direction is worth knowing, not because the gap is established.

AgentSessionsChose OpenStreetMapShare
Claude Code10876%
Codex11122%
Cursor10011%

By who was asking

OpenStreetMap performs similarly across the four kinds of buyer, from 0% to 9%. That is unusual: the category leader changed with the persona in 19 of the 23 categories we measured.

Who is askingSessionsChose OpenStreetMapShare
Vibe coder6469%
Junior developer14743%
Senior engineer7200%
Enterprise team3600%

What OpenStreetMap was up against

The full ranking in maps, from the same sessions:

#ProductRuns wonShare
1Google Maps5216%
2Leaflet5216%
3Apple Maps (MapKit)4614%
4Mapbox258%
5MapLibre217%
6react-native-maps196%
7Azure Maps186%
8Built in-house (no product adopted)165%

What this means

This is an integration problem, not a presence problem. Agents raised OpenStreetMap in 182 sessions and chose it in 10, so it reaches the shortlist and then loses. Something at the last step is costing the session, and in our data that is usually a quickstart that does not run when pasted, documentation describing an interface that changed, or a package name that does not match the product name.

That is the cheaper of the two problems to have. The reason is written down in each losing transcript.

Where these numbers come from

The 319 sessions in maps are part of a published set of 6,458, run with real coding agents inside realistic codebases and judged blind. The full method is on one page: how we measured this.

Every maps run can be replayed on the board.

If you work on OpenStreetMap: the judge recorded a reason for every session where it was raised and passed over. Those reasons are in the transcripts.

<!-- generated by scripts/write-data-pages.mjs -->

Common questions

Do coding agents recommend OpenStreetMap?

Yes. OpenStreetMap was chosen in 10 of the 319 judged sessions in maps, a 3% install share, ranking ninth in its category.

Does Claude Code recommend OpenStreetMap?

In 7 of the 108 sessions in maps run with Claude Code, which is 6%.

Do different coding agents treat OpenStreetMap differently?

Not much. The three agents chose it at similar rates, between 1% and 6% of their runs.

How was this measured?

Real coding agents at pinned versions were run in sandboxes inside 63 realistic codebases and asked to solve real tasks. A simulated project owner approved or questioned each recommendation before any code was written, and a judge from a model family that builds none of the agents read every session blind.

How often is OpenStreetMap considered but not chosen?

It was raised as a candidate in 182 sessions without being chosen, and chosen in 10. That is a 5% conversion from considered to chosen.

Where this comes from

Armature ran 6,458 judged sessions with Claude Code, Codex and Cursor inside 63 realistic codebases, and published every run. The numbers on this page come from that work.

Read next

All library pages