pmtiles
Library and utilities to write and read PMTiles archives - cloud-optimized archives of map tiles.
Decision gist · record as of 2026-08-14
Yes. The package has no runtime dependencies, low install friction, active maintenance, and a permissive license. It fills a specific and well-defined role in the serverless mapping ecosystem. Install it if you work with tiled map data and want to host tiles on cloud storage without a custom backend; skip it if you don't need PMTiles specifically.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with no runtime dependencies.
- Active maintenance as of 2026-02-10, with recent repository activity and a solid user base of 214629 monthly downloads.
License · maintenance · safety
BSD-3-Clause (permissive) — BSD-3-Clause is permissive; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
last release 2026-02-10 (185 days) · last repo commit 2026-08-10 · 2,988 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 214,629 downloads/mo, #9,412 on PyPI
Alternatives
Verify before relying
pip install pmtiles
import pmtiles
# Access PMTiles archive via the library's read/write interfaces
# See https://github.com/protomaps/PMTiles/tree/main/python/pmtiles/bin for script examples- Specific Python version requirements (requires_python is unspecified in metadata)
- Whether the package includes command-line utilities or is library-only
- API surface and typical usage patterns beyond the referenced bin scripts
What it is and what it does
PMTiles is a Python library for working with PMTiles archives—a single-file format designed to store tiled map data efficiently. The format is optimized for cloud storage platforms like S3, enabling serverless map applications without a custom tile backend or third-party provider. The package provides both library interfaces for reading and writing PMTiles data and command-line utilities for common tasks like converting from MBTiles format and uploading to cloud storage.
The library sits at the intersection of geospatial data and cloud infrastructure: it lets you package vector or raster tiles into a single archive that can be served directly from commodity storage with minimal operational overhead. It integrates with the broader PMTiles ecosystem, which includes viewers, JavaScript clients for Leaflet and MapLibre GL JS, and serverless deployment examples for AWS Lambda and Cloudflare Workers.
Use it for
- Convert MBTiles archives to PMTiles format for cloud-native deployment on S3 or similar storage.
- Build serverless map applications that serve tiles directly from cloud storage without maintaining a tile server.
- Programmatically read and inspect PMTiles archives in Python data pipelines or geospatial workflows.
- Upload and manage tiled map datasets on cloud platforms with minimal operational complexity.
- Integrate tiled map data into Python applications that need efficient, cloud-optimized tile access.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package has no runtime dependencies, low install friction, active maintenance, and a permissive license. It fills a specific and well-defined role in the serverless mapping ecosystem. Install it if you work with tiled map data and want to host tiles on cloud storage without a custom backend; skip it if you don't need PMTiles specifically.
Install
pmtiles on PyPI
Before you install
Low install friction with no runtime dependencies. Active maintenance as of 2026-02-10, with recent repository activity and a solid user base of 214629 monthly downloads.
License in practice
BSD-3-Clause is permissive; you can use, modify, and distribute this package freely in commercial and private projects with minimal restrictions.
Quickstart
pip install pmtiles
import pmtiles
# Access PMTiles archive via the library's read/write interfaces
# See https://github.com/protomaps/PMTiles/tree/main/python/pmtiles/bin for script examplesVerify before relying
- Specific Python version requirements (requires_python is unspecified in metadata)
- Whether the package includes command-line utilities or is library-only
- API surface and typical usage patterns beyond the referenced bin scripts
Package facts
| License | BSD-3-Clause permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Actively maintained 185 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 214,629 / month, #9,412 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: BSD LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3 |
Evidence: pmtiles-3.7.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “pmtiles archive reader writer”
- pmtilesRead and write PMTiles archives, a single-file format for storing…
- libarchive-clibarchive-c provides a Python interface to libarchive, a C library…
- unix-arReads and writes AR archive files (Unix static library format), with…
Give your agent the search over MCP, or paste the wish link into any chat.
More WWW/HTTP packages
urllib3 is an HTTP client library that provides thread-safe connection pooling, SSL/TLS verification, multipart file uploads, request retries, compression support, and proxy handling for Python applications.
Requests is a Python HTTP library that simplifies sending HTTP/1.1 requests with automatic handling of headers, authentication, cookies, and response parsing.
h11 is a pure-Python HTTP/1.1 protocol implementation that handles parsing and serializing HTTP messages without any built-in I/O, letting you integrate it with any network layer you choose.
HTTPX is a fully featured HTTP client library for Python that provides both sync and async APIs, with support for HTTP/1.1 and HTTP/2, plus an integrated command-line client.
Install it if you are building new projects or modernizing existing ones that rely on HTTP.
A minimal low-level HTTP client library that sends HTTP requests with thread-safe and task-safe connection pooling, supporting HTTP/1.1, HTTP/2, proxies, and both sync and async interfaces.
aiohttp is an async HTTP client and server framework built on asyncio, supporting both WebSockets and middleware-based routing for building concurrent web applications.
Install it if you need async HTTP client or server capabilities in asyncio-based applications.
See also geos · pytiled-parser · rio-tiler · morecantile · titiler-application · tiled · xyzservices · supermorecado · tippecanoe · rclone-python