{"id":21634372,"url":"https://github.com/peterson-dev/pathfinder-django","last_synced_at":"2026-04-15T21:31:14.154Z","repository":{"id":41944831,"uuid":"180632518","full_name":"peterson-dev/pathfinder-django","owner":"peterson-dev","description":"takes land elevation data, computes \"best\" paths through the mountains, and uses pillow imaging to draw map.","archived":false,"fork":false,"pushed_at":"2022-11-22T03:46:59.000Z","size":916,"stargazers_count":0,"open_issues_count":4,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-10-15T03:14:00.865Z","etag":null,"topics":["django","pillow","python"],"latest_commit_sha":null,"homepage":"https://greedy-pathfinder.herokuapp.com/","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/peterson-dev.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-04-10T17:37:52.000Z","updated_at":"2019-06-13T21:37:57.000Z","dependencies_parsed_at":"2023-01-21T21:45:37.874Z","dependency_job_id":null,"html_url":"https://github.com/peterson-dev/pathfinder-django","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/peterson-dev/pathfinder-django","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/peterson-dev%2Fpathfinder-django","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/peterson-dev%2Fpathfinder-django/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/peterson-dev%2Fpathfinder-django/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/peterson-dev%2Fpathfinder-django/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/peterson-dev","download_url":"https://codeload.github.com/peterson-dev/pathfinder-django/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/peterson-dev%2Fpathfinder-django/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31861255,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-15T15:24:51.572Z","status":"ssl_error","status_checked_at":"2026-04-15T15:24:39.138Z","response_time":63,"last_error":"SSL_read: 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":["django","pillow","python"],"created_at":"2024-11-25T03:16:33.234Z","updated_at":"2026-04-15T21:31:14.106Z","avatar_url":"https://github.com/peterson-dev.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Pathfinder\n\n## Description\n\nPathfinder allows you to upload a text file (i.e. `.txt`, `.asc`) containing topographic data, generate an elevation map as a `.png` file, and chart optimal paths across. Each optimal path will be drawn in purple. A green line is drawn highlighting the path with the 'least' amount of elevation change. This project is an extension to a lab assignement called [Mountain Paths](MountainPaths.pdf), which was adapted from [this project](http://nifty.stanford.edu/2016/franke-mountain-paths/). The concepts utilize a \"greedy\" algorithm that follows the problem solving heuristic of making the locally optimal choice at each stage with the intent of finding a global optimum, i.e. the green line.  \n\n## Built With\n- [Django](https://www.djangoproject.com/) - Web framework\n- Python and Javascript\n- [Pillow](https://pillow.readthedocs.io/en/3.0.x/index.html) - Python imaging library\n\n## Test it out\n- Navigate to the [website](https://greedy-pathfinder.herokuapp.com/)\n- Download the test data by clicking the link\n- Click the \"Choose File\" button and select the test data file\n- Click \"Generate map\" \n- Behold the algorithmic glory\n\nTo try out other data sets, you can go to [the NOAA Grid Extract tool](http://maps.ngdc.noaa.gov/viewers/wcs-client/) and follow these steps to select any region on the globe.\n\n- Select an area using the box selector button.\n- Download the data in \"ArcGIS ASCII Grid\" format.\n- Remove the metadata at the top of the file, leaving just the numbers.\n- Upload the file in the same way as above.  \n\n## Acknowledgements\n* [Fan](https://github.com/fanh33)\n* [Clint](https://github.com/cndreisbach)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpeterson-dev%2Fpathfinder-django","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpeterson-dev%2Fpathfinder-django","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpeterson-dev%2Fpathfinder-django/lists"}