{"id":18847860,"url":"https://github.com/zmoon/blpd","last_synced_at":"2026-03-07T04:03:59.837Z","repository":{"id":37887908,"uuid":"243156558","full_name":"zmoon/blpd","owner":"zmoon","description":"Lagrangian (stochastic) particle dispersion with Python+Numba to model bees finding floral scents","archived":false,"fork":false,"pushed_at":"2025-11-03T20:37:15.000Z","size":1048,"stargazers_count":7,"open_issues_count":3,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-11-03T22:18:34.846Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/zmoon.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2020-02-26T03:09:51.000Z","updated_at":"2025-11-03T20:37:17.000Z","dependencies_parsed_at":"2024-01-04T18:31:04.280Z","dependency_job_id":"ce7dae70-13fe-4c1d-b3db-417bed6b3f97","html_url":"https://github.com/zmoon/blpd","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/zmoon/blpd","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zmoon%2Fblpd","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zmoon%2Fblpd/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zmoon%2Fblpd/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zmoon%2Fblpd/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zmoon","download_url":"https://codeload.github.com/zmoon/blpd/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zmoon%2Fblpd/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30207394,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-07T03:24:23.086Z","status":"ssl_error","status_checked_at":"2026-03-07T03:23:11.444Z","response_time":53,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-08T03:09:52.815Z","updated_at":"2026-03-07T04:03:54.818Z","avatar_url":"https://github.com/zmoon.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# blpd\n\n*Lagrangian (stochastic) particle dispersion with Python+Numba to model bees finding floral scents*\n\n[![CI workflow status](https://github.com/zmoon/blpd/actions/workflows/ci.yml/badge.svg)](https://github.com/zmoon/blpd/actions/workflows/ci.yml)\n[![pre-commit.ci status](https://results.pre-commit.ci/badge/github/zmoon/blpd/master.svg)](https://results.pre-commit.ci/latest/github/zmoon/blpd/master)\n[![Run examples on Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/zmoon/blpd/HEAD?urlpath=lab/tree/examples)\n[![Project Status: Inactive – The project has reached a stable, usable state but is no longer being actively developed; support/maintenance will be provided as time allows.](https://www.repostatus.org/badges/latest/inactive.svg)](https://www.repostatus.org/#inactive)\n\n[pdoc](https://pdoc.dev/) API documentation: \u003chttps://zmoon.github.io/blpd/blpd.html\u003e\n## Installing\n\nLatest:\n```\npip install https://github.com/zmoon/blpd/archive/master.zip\n```\n\n### For development\n\n1. Clone the repo\n   ```\n   git clone https://github.com/zmoon/blpd\n   ```\n2. Register the package as an editable install, by navigating into the the repo and executing\n   ```\n   pip install -e .\n   ```\n\n#### Notes\n\n:exclamation: An updated version of `pip` (\u003e= 19.0) should be used for the install to ensure that the build backend specified in `pyproject.toml` will be read and used (installed if necessary). Otherwise, the `blpd` package version may not be correctly read into the package metadata.\n\n\n## References\n\n* K. Pratt's thesis: \u003chttps://etda.libraries.psu.edu/catalog/14063\u003e. The version described there included a simpler treatment of the in-canopy statistics. [Marcelo Chamecki](http://people.atmos.ucla.edu/mchamecki/index.htm) added the Massman \u0026 Weil (1999) model to enhance the canopy treatment. The LPD code (module `blpd.lpd`) is based on a version of Pratt's model written in Matlab.\n* Massman \u0026 Weil (1999): \u003chttps://doi.org/10.1023/A:1001810204560\u003e\n* Fuentes et al. (2016): \u003chttps://doi.org/10.1016/j.atmosenv.2016.07.002\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzmoon%2Fblpd","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzmoon%2Fblpd","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzmoon%2Fblpd/lists"}