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Open Sustainable Technology

A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

pyfor

Tools for analyzing aerial point clouds of forest data.
https://github.com/brycefrank/pyfor

Category: Biosphere
Sub Category: Forest Remote Sensing

Keywords

forest-inventory forestry las lidar

Last synced: about 1 hour ago
JSON representation

Repository metadata

Tools for analyzing aerial point clouds of forest data.

README.md

pyfor is a Python package that assists in the processing of point cloud data in the context of forest inventory.
This includes manipulation of point data, support for analysis, and a
memory optimized API for managing large collections of tiles.

Release Status

Current Release: 0.3.6

Release Date: December 1st, 2019.

Release Status: 0.3.6 is an adolescent LiDAR data processing package adequate for single tile processing and large acqusitions.

What Does pyfor Do?

and many other tasks. See the documentation for examples and applications.

What about tree segmentation? Please see pyfor's sister package treeseg which
is a standalone package for tree segmentation and detection.

Installation

miniconda or Anaconda is required for your system before beginning. pyfor depends on many packages that are otherwise tricky and difficult to install (especially gdal and its bindings), and conda provides a quick and easy way to manage many different Python environments on your system simultaneously.

As of October 14th, 2019, we are proud to announce that pyfor is available on conda-forge, greatly simplifying the installation process:

conda install -c conda-forge pyfor

Collaboration & Requests

If you would like to contribute, especially those experienced with numba, numpy, gdal, ogr and pandas, please contact me at [email protected]

I am also willing to implement features on request. Feel free to open an issue with your request or email me at the address above.

pyfor will always remain a free service. Its development takes time, energy and a bit of money to maintain source code and host documentation. If you are so inclined, donations are accepted at the donation button at the top of the readme.

Owner metadata

GitHub Events

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Last Year

Committers metadata

Last synced: 6 days ago

Total Commits: 508
Total Committers: 5
Avg Commits per committer: 101.6
Development Distribution Score (DDS): 0.016

Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0

Name Email Commits
brycefrank b****k@o****u 500
bw4sz b****0@g****m 4
Paulo Viana p****v@y****r 2
Anirudh Bagri A****i@D****m 1
Frank f****r@o****u 1

Committer domains:

Issue and Pull Request metadata

Last synced: 1 day ago

Total issues: 57
Total pull requests: 22
Average time to close issues: about 1 month
Average time to close pull requests: about 3 hours
Total issue authors: 10
Total pull request authors: 4
Average comments per issue: 2.93
Average comments per pull request: 0.95
Merged pull request: 19
Bot issues: 0
Bot pull requests: 0

Past year issues: 0
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 0
Past year average comments per issue: 0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/brycefrank/pyfor

Top Issue Authors

  • brycefrank (31)
  • bw4sz (14)
  • jfprieur (3)
  • ccimarp (2)
  • EvasiZ (2)
  • Vicent-Ribas (1)
  • DavidEic (1)
  • Crghilardi (1)
  • ignacioi96 (1)
  • Chrissielxj (1)

Top Pull Request Authors

  • brycefrank (15)
  • bw4sz (4)
  • anirudhbagri (2)
  • paulo9mv (1)

Top Issue Labels

  • bug (14)
  • enhancement (13)
  • File I/O (5)
  • normalization (5)
  • documentation (4)
  • rasterization (3)
  • wontfix (3)
  • good-first-issue (3)
  • environment (2)
  • collection (2)
  • testing-suite (2)
  • tree-detection (2)
  • canopy-height-model (2)
  • visualizitaion (1)
  • help wanted (1)

Top Pull Request Labels

  • enhancement (1)

Package metadata

pypi.org: pyfor

Tools for forest resource LiDAR.

  • Homepage: https://github.com/brycefrank/pyfor
  • Documentation: https://pyfor.readthedocs.io/
  • Licenses: LICENSE.txt
  • Latest release: 0.1.post2 (published about 8 years ago)
  • Last Synced: 2025-04-26T13:01:58.768Z (1 day ago)
  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 94 Last month
  • Rankings:
    • Dependent packages count: 7.373%
    • Stargazers count: 7.586%
    • Forks count: 8.578%
    • Average: 18.122%
    • Dependent repos count: 22.233%
    • Downloads: 44.84%
  • Maintainers (1)
conda-forge.org: pyfor

pyfor processes LiDAR and other point cloud data into useful metrics for forest inventory predictions.

  • Homepage: https://github.com/brycefrank/pyfor
  • Licenses: MIT
  • Latest release: 0.3.6 (published over 5 years ago)
  • Last Synced: 2025-04-01T02:09:58.394Z (27 days ago)
  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Rankings:
    • Stargazers count: 32.798%
    • Dependent repos count: 34.025%
    • Forks count: 34.734%
    • Average: 38.183%
    • Dependent packages count: 51.175%

Dependencies

environment.yml pypi
  • laspy *
  • laxpy *
  • plyfile *
  • python-coveralls *
  • sphinx_rtd_theme *
setup.py pypi
  • laspy *

Score: 10.808515092131572