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    Protomaps

    protomaps.com · Company blog · on HN since 2021

    Protomaps is a project by Brandon Liu that offers open source map tooling and the single-file PMTiles format for serving maps.

    Visit blogRSSHN submissions
    Web DevelopmentOpen Source & LinuxData & Visualization
    What HN says

    Commenters recommend it as a cheaper way to host maps than Google or Mapbox, citing single-file range requests and easy self-hosted vector tiles.

    Stats for nerds
    37HN people shared it
    16linked in comments
    663story points
    Jan 2026last shared
    2022people per year2026

    Top posts on HN

    1. 1
      A new way to make maps with OpenStreetMap
      1 person · 508 points · first shared 2021 · 98 comments on HN
    2. 2
      Mantle – Serverless Maps Using Lambda or Cloudflare Workers
      1 person · 113 points · first shared 2022 · 19 comments on HN
    3. 3
      Rethinking the Free Tier for Maps
      4 people · 16 points · first shared 2022 · 2 comments on HN
    4. 4
      Protomaps: OpenStreetMap vector tiles, self-hostable as one static file
      22 people · 7 points · first shared 2022 · 1 comments on HN
    5. 5
      Dynamic Maps, Static Storage
      2 people · 5 points · first shared 2021 · Discussion on HN
    6. 6
      Transitioning Protomaps from Open Core to Open Source
      1 person · 5 points · first shared 2024 · Discussion on HN
    7. 7
      Simple, customizable maps for the web – Protomaps
      1 person · 2 points · first shared 2022 · Discussion on HN
    8. 8
      Protomaps: PMTiles Version 3: Disk Layout and Compressed Directories
      1 person · 2 points · first shared 2022 · Discussion on HN
    9. 9
      Serverless maps at 1/700 the cost of Google Maps API
      1 person · 2 points · first shared 2023 · Discussion on HN
    10. 10
      The Surprising Anatomy of a One-Man Map Tech Stack
      1 person · 2 points · first shared 2022 · Discussion on HN

    What HN people wrote when they linked it

    • joshstrangeJul 2023

      If you are looking for maps themselves (a la Google Maps) I highly recommend checking out Protomaps [0]. It provides a single file (PMTile format) that contains all the map data and you can request ranges from the single file to get the required vector data you need for a given area/zoom.

      So you can setup something like the following:

      S3 (host the myfile.pmtiles) <- Lambda (takes the x/y/z from the path and requests the correct range) <- Cloudfront cache tile response

      Then you can setup tiles.mydomain.com (or use the cloudfront domain directly) and then use Leaflet or similar on the frontend to fetch/render the tiles. For Leaflet you use the protomaps plugin/lib and give it a url like "https://tiles.yourdomain.com/20230408/
      {z}/
      {x}/
      {y}.mvt" where "20230408" maps to "20230408.pmtiles" in your S3 bucket. Now I can drop new pmtiles files into that bucket and update my clients to use the new source. And since the tiles are in vector format you can theme them however you want in the client which is neat. Lastly you don't have to use the 100+GB whole-earth tileset. You can use a tool [1] (provided by the same guy) to download a dataset for just a given geographical region.

      The .pmtiles file is a little over 100GB but the whole setup took me only an hour or two max to get running and will cost way less than Google Maps to run.

      [0] https://protomaps.com/

      [1] https://app.protomaps.com/downloads/small_map

    • adeptimaSep 2025

      QGIS is a gold standard to verify you tools works fine and data is in a correct format ...

      if you are a web based first, you have even better options to build and extend

      kepler, protomaps, maplibre-gl-js

      https://kepler.gl

      https://protomaps.com

      https://github.com/maplibre/maplibre-gl-js

      the rest can be found on great Qiusheng Wu’s (aka @giswqs) Geo/GeoAI tutorials channels and repos

      https://www.youtube.com/@giswqs/videos

      https://x.com/giswqs

      but what really amazed me is how geo spatial support is growing inside of databases recently

      https://duckdb.org/docs/stable/core_extensions/spatial/overview.html

      all mighty postgis https://postgis.net/docs/manual-3.5/postgis_cheatsheet-en.html

      https://sedona.apache.org/latest/

      https://geoparquet.org/releases/v1.0.0/

      and many unlocked dataset compare to other industries

      https://docs.overturemaps.org/getting-data/duckdb/

      https://www.openstreetmap.org/

      https://hub.arcgis.com/search

      lot great webtools are comming for sure and you still can be 100% of most of your geospatial pipeline

      p.s. want to extend the above list with self-hosted tools with minimum or none dependencies on paid APIs, and recommendations are greatly appreciated

    • SoupyJul 2023

      I did actually! For my particular source dataset it was far easier just to lean on the plain old GeoTiff format since that's what my source data was already formatted in and my testing of the client-side on-the-fly tiling using range queries and fast-png for encoding resulted in close to par performance with 0 increase in hosting costs and 0 headache in building custom pipelines to encode the cloud-optimized versions. Basically, I'm lazy, I'm sure it's the "correct" answer for other use-cases

      I also have been digging pretty extensively into protomaps though for some newer non-GeoTiff datasets I'm in the process of pulling in, in my opinion it's the future for this space - https://protomaps.com/

    • bdonNov 2022

      The barriers to adopting vector-everywhere are social and commercial, not technical.

      There are a couple great public raster services like osm.org's default style and http://maps.stamen.com. These are 100% free to use, so they get used everywhere, but incur significant expense to the organizations running (paying) for them.

      There aren't equivalent solutions in vector-land yet... I wrote a bit about this previously: https://protomaps.com/blog/free-tier-maps

    • sntranSep 2022

      This would be quite convenient when dealing with MBtiles files hosted on S3 or similar. There are efforts such as PMTiles[1] that let us use HTTP Range query to retrieve tiles directly from S3, but we still have to convert MBTiles to PMTiles first.

      More importantly that OSM is considering providing MBTiles directly (besides PBF)[2].

      [1]: https://protomaps.com/docs/pmtiles/

      [2]: https://github.com/openstreetmap/operations/issues/565

    • pkalinowskiNov 2022

      Vector map of the whole Earth in PMTiles format is only ~65GB[1] and doesn't need any server or database - it's just a static file which you can host wherever you want.

      bdon (author of PMTiles) already commented on this thread. I recommend taking a look at https://protomaps.com/docs - compared to this, raster tile servers sound like ancient technology.

      [1]: https://app.protomaps.com/store/planet-z14

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