{"id":22538240,"url":"https://github.com/dimflix-hackathons/emissioneye","last_synced_at":"2026-02-26T06:49:41.419Z","repository":{"id":264017723,"uuid":"891676786","full_name":"DIMFLIX-Hackathons/EmissionEye","owner":"DIMFLIX-Hackathons","description":"Prediction of dispersion of industrial emissions of harmful substances in the urban environment","archived":false,"fork":false,"pushed_at":"2024-11-21T23:03:15.000Z","size":395,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-07T11:10:56.693Z","etag":null,"topics":["ai","artificial-intelligence","ecology","fastapi","leaflet","math","python","urban","vue"],"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/DIMFLIX-Hackathons.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-11-20T18:54:47.000Z","updated_at":"2024-11-29T18:20:09.000Z","dependencies_parsed_at":"2024-11-21T15:25:51.311Z","dependency_job_id":"bbf0e6e1-b691-48f1-9b0b-b1dcc8e01977","html_url":"https://github.com/DIMFLIX-Hackathons/EmissionEye","commit_stats":null,"previous_names":["dimflix-official/emissioneye","dimflix-hackathons/emissioneye"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DIMFLIX-Hackathons%2FEmissionEye","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DIMFLIX-Hackathons%2FEmissionEye/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DIMFLIX-Hackathons%2FEmissionEye/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DIMFLIX-Hackathons%2FEmissionEye/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DIMFLIX-Hackathons","download_url":"https://codeload.github.com/DIMFLIX-Hackathons/EmissionEye/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":236766406,"owners_count":19201406,"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":["ai","artificial-intelligence","ecology","fastapi","leaflet","math","python","urban","vue"],"created_at":"2024-12-07T11:10:55.404Z","updated_at":"2025-10-17T02:30:44.889Z","avatar_url":"https://github.com/DIMFLIX-Hackathons.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cdiv align=\"center\"\u003e\n\u003cimg src=\"./assets/logo.png\" width=\"400\"/\u003e\n\u003c/div\u003e\n\n# EmissionEye\n**EmissionEye** — прогнозирование рассеивания промышленных выбросов вредных веществ в городской среде с учетом парковых / лесных зон, метеофакторов и рельефа.\n\n# Возможности\n- ## Бэкенд на FastAPI:\n\tИспользует простоту и производительность FastAPI для создания надежного слоя API с поддержкой асинхронного программирования.\n- ## Фронтенд на Vue.js \n\tИспользует Vue.js для создания динамичного и отзывчивого пользовательского интерфейса, который плавно взаимодействует с бэкендом на FastAPI.\n\n# Как пользоваться?\n- ## Настройка переменнных окружения \n\t1.Создайте файл с переменными окружения `cp .env.example .env` \\\n\t2. Откройте файл .env в любом удобном для Вас текстовом редакторе. \\\n    3. Заполните все пустые параметры\n\n- ## Запуск\n\t- ### Backend\n\t\t1. [Установите poetry](https://python-poetry.org/docs/)\n\t\t2. Перейдите в каталог `backend` с помощью команды `cd backend`\n\t\t3. Выполните установку зависимостей `poetry install`\n\t\t4. Запустите бекенд `poetry run app`\n\n\t- ### Frontend\n\t\t1. Перейдите в каталог `frontend` с помощью команды `cd frontend`\n\t\t2. Установите зависимости `npm install`\n        3. Запустите фронтенд `npm run serve`\n\n# Вклад в развитие\nВклад в развитие EmissionEye приветствуется! \\\nЕсли вы обнаружите какие-либо проблемы или у вас есть идеи по улучшению, не стесняйтесь открывать проблему или отправлять запрос на слияние.\n\n# Лицензия\nEmissionEye распространяется под лицензией MIT. \\\nПодробнее смотрите в файле [LICENSE](LICENSE).","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdimflix-hackathons%2Femissioneye","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdimflix-hackathons%2Femissioneye","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdimflix-hackathons%2Femissioneye/lists"}