{"id":13654507,"url":"https://github.com/samuelpeet/flashgamma","last_synced_at":"2025-04-23T09:33:32.186Z","repository":{"id":37599128,"uuid":"150188368","full_name":"samuelpeet/flashgamma","owner":"samuelpeet","description":"Analysis of radiotherapy dose distributions","archived":false,"fork":false,"pushed_at":"2023-02-22T02:36:31.000Z","size":1345,"stargazers_count":31,"open_issues_count":11,"forks_count":12,"subscribers_count":7,"default_branch":"master","last_synced_at":"2025-04-09T05:16:13.228Z","etag":null,"topics":["medical-physics","radiation-therapy"],"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/samuelpeet.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,"governance":null}},"created_at":"2018-09-25T01:06:20.000Z","updated_at":"2025-02-19T20:04:33.000Z","dependencies_parsed_at":"2023-01-24T21:00:45.624Z","dependency_job_id":"92fcbe0b-acb0-4b97-be90-8780d1f600fb","html_url":"https://github.com/samuelpeet/flashgamma","commit_stats":{"total_commits":21,"total_committers":2,"mean_commits":10.5,"dds":"0.23809523809523814","last_synced_commit":"c00f388856cd3651b706a7b117ff90930aa5ee54"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/samuelpeet%2Fflashgamma","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/samuelpeet%2Fflashgamma/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/samuelpeet%2Fflashgamma/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/samuelpeet%2Fflashgamma/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/samuelpeet","download_url":"https://codeload.github.com/samuelpeet/flashgamma/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250407717,"owners_count":21425550,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["medical-physics","radiation-therapy"],"created_at":"2024-08-02T03:00:36.262Z","updated_at":"2025-04-23T09:33:31.463Z","avatar_url":"https://github.com/samuelpeet.png","language":"Python","funding_links":[],"categories":["Libraries"],"sub_categories":[],"readme":"# flashgamma\n\nA python package for speedy analyses of 2D radiotherapy dose distributions.\n\n## Installation\n\nInstallation is through `pip`. You must have `numpy` installed in your environment first. You may also wish to install matplotlib to run the examples.\n\n    pip install numpy matplotlib\n    pip install flashgamma\n\n## Examples\n\nCheckout the examples folder for details.\n\n**Example 1** demonstrates how to perform a gamma analysis on some ArcCheck data:\n\n![](./examples/images/eg1.png)\n\n**Example 2** uses arbitrary `numpy` arrays:\n\n![](./examples/images/eg2.png)\n\n**Example 3** uses a `cython` based function to rapidly calculate gamma pass rates. That means you can analyse entire ranges of dose difference and distance to agreement criteria at once, generating interesting plots like this:\n\n![](./examples/images/eg3.png)\n\n## Caveats\n\nThis code was written for personal educational purposes. Although it was shown internally to perform similarly to a range of proprietary gamma analysis codes, it is in no way guaranteed to be free from bugs and errors.\n\n## Literature\n\nThis software was featured in the following publication:\n\nSamuel C. Peet, Liting Yu, Sarah Maxwell, Scott B. Crowe, Jamie V. Trapp, Tanya Kairn. (2020). \"Exploring the gamma surface: A new method for visualising modulated radiotherapy quality assurance results\". Physica Medica: European Journal of Medical Physics, Volume 78, 166-172. (https://doi.org/10.1016/j.ejmp.2020.09.021)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamuelpeet%2Fflashgamma","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsamuelpeet%2Fflashgamma","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsamuelpeet%2Fflashgamma/lists"}