A living dataset of implementations, use cases, and impact signals for open-source tools built and maintained by Development Seed.
We build and maintain open-source geospatial libraries used by teams around the world — but we've never had a reliable way to understand the full scope of that impact. Who is using our tools? How are they deploying them? What problems are they solving?
This repo is an experiment to answer that question systematically. An automated agent monitors the web daily, surfacing implementations, integrations, blog posts, and other signals that show how our work is being used in the wild.
| Folder | Tool | Description |
|---|---|---|
data/titiler/ |
TiTiler | GitHub repos, PyPI dependents, and web results referencing TiTiler |
More tools will be added over time.
An OpenClaw agent runs on a remote VM and searches three sources daily:
- GitHub Search API — repositories referencing the tool
- PyPI dependents — packages that list it as a dependency
- Brave Search API — broader web results including blog posts and deployments
New results are appended to the relevant CSV and pushed to this repo each morning. Duplicates are automatically filtered.
The crawler runs as an isolated claw system user on a Hetzner CPX31 VM
(Ubuntu 24), separate from the main development environment. It has no access
to project repositories, SSH keys, or GitHub credentials.
- OpenClaw runs as a persistent gateway in a tmux session, controlled via Telegram
- Model:
qwen2.5:3bvia Ollama (local inference, no external API calls for the agent itself) - Shell tool is disabled — the agent cannot execute arbitrary commands, which limits the blast radius of any prompt injection from scraped content
The crawler is a standalone Python script registered as a custom OpenClaw skill. It runs inside a Python venv and has three source modules:
GitHub Search API (source: github)
- Unauthenticated requests to
api.github.com/search/repositories - Query:
titiler, sorted by last updated - Paginates up to 3 pages (90 results max per run)
- Rate limit: 10 req/min unauthenticated
PyPI dependents (source: pypi)
- Fetches package metadata from
pypi.org/pypi/{package}/json - Scrapes
github.com/{org}/{repo}/network/dependentsfor downstream packages
Brave Search API (source: brave)
- Three queries per run:
"titiler" site:github.com,titiler implementation example,titiler deployment - 10 results per query, ~30 results per run
- Free tier: $5/month credit (~1,000 queries/month)
Before appending, the script loads all existing URLs from the CSV into a set and skips any result already present. New results are written to the relevant data/{tool}/implementations.csv file in this repo.
A separate cron job runs as the anthony user at 6:05am UTC, 5 minutes
after the crawler. It runs git add data/ && git commit && git push to
sync new results to this repo. If there are no new results, it exits
without committing.
| Time (UTC) | User | Action |
|---|---|---|
| 6:00am | claw |
Run crawler, append to CSV |
| 6:05am | anthony |
Commit and push to GitHub |
| Column | Description |
|---|---|
url |
Link to the implementation or resource |
repo_name |
Repository or page name |
source |
Where it was found (github, pypi, brave) |
discovered_at |
UTC timestamp when first found |
description |
Short description |
stars |
GitHub stars (if applicable) |
last_updated |
Last activity date (if applicable) |
Have a tool you want to monitor? Open an issue or PR with:
- Tool name
- Search queries to use
- Target sources (GitHub / PyPI / web)