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openvenues/libpostal

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A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

13 mentions on Hacker News by 10 people: 3 stories, 10 comments · first 2016-02-03 · latest 2025-08-15

Mentions per year 13 mentions · busiest year 2016 (5)
20082026
  1. Libpostal - street address parsing and normalisation library that relies on downloadable NLP model. https://github.com/openvenues/libpostal
  2. …things where it's most likely best deployed as an independent service on a dedicated machine. [1] https://github.com/openvenues/libpostal?tab=readme-ov-file#b...
  3. ▲ 104
    Libpostal: C library for parsing/normalizing street addresses around the world
    story by nateb2022 · 2025-07-09 · 38 comments
  4. …(try me). The previous generation of ML and a lot of sweat by Al Barrentine produced libpostal( https://github.com/openvenues/libpostal ), which is a really great full-text address parser. It's fast and accurate, but it doesn't handle…
  5. ▲ 117
    Libpostal: A C library for parsing/normalizing street addresses around the world
    story by polm23 · 2018-12-28 · 25 comments
  6. https://github.com/openvenues/libpostal/ is great. Needs 2-3GB of RAM and a couple of seconds to start up.
  7. Maybe try https://github.com/openvenues/libpostal It's a C library with gigabytes of data, so it isn't light weight, but it attacks the problem aggressively.
  8. ▲ 9
    Libpostal 1.0: Conditional Random Fields trained on 1B open street addresses
    story by albarrentine · 2017-04-06 · 0 comments
  9. Does it use libpostal? https://github.com/openvenues/libpostal
  10. Have you looked into libpostal? https://github.com/openvenues/libpostal
  11. Have a look at https://github.com/openvenues/libpostal who (one person) used a webcrawl as input to train an address parser.
  12. Have you tried https://github.com/openvenues/libpostal ?
  13. Address parsing from a large web corpus https://github.com/openvenues/libpostal The author uses http://commoncrawl.org/ data, 250TB/3.6b URL and a 100 machine cluster of 8-core machines.