{"id":48925047,"url":"https://github.com/jalcocert/py_trip_planner","last_synced_at":"2026-04-17T06:36:30.726Z","repository":{"id":177607355,"uuid":"600066967","full_name":"JAlcocerT/Py_Trip_Planner","owner":"JAlcocerT","description":"Interactive Trip Planning with Weather information (Historical and Forecasted) as per the selected location. 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align=\"center\"\u003e\n  \u003ch1\u003ePython Trip Planner\u003c/h1\u003e\n\u003c/div\u003e\n\n\u003cdiv align=\"center\"\u003e\n  \u003ch3\u003ePlan your Trips according to Weather Patters\u003c/h3\u003e\n\u003c/div\u003e\n\n\u003cdiv align=\"center\"\u003e\n  \u003ca href=\"https://github.com/JAlcocerT/Py_Trip_Planner?tab=GPL-3.0-1-ov-file\" style=\"margin-right: 5px;\"\u003e\n    \u003cimg alt=\"Code License\" src=\"https://img.shields.io/badge/License-GPLv3-blue.svg\" /\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://github.com/JAlcocerT/JAlcocerT/Py_Trip_Planner/actions/workflows/Dash_GHA_MultiArch.yml\" style=\"margin-right: 5px;\"\u003e\n    \u003cimg alt=\"GH Actions Workflow\" src=\"https://github.com/JAlcocerT/Py_Trip_Planner/actions/workflows/Dash_GHA_MultiArch.yml/badge.svg\" /\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://GitHub.com/JAlcocerT/Py_Trip_Planner/graphs/commit-activity\" style=\"margin-right: 5px;\"\u003e\n    \u003cimg alt=\"Mantained\" src=\"https://img.shields.io/badge/Maintained%3F-no-grey.svg\" /\u003e\n  \u003c/a\u003e\n  \u003ca href=\"https://www.python.org/downloads/release/python-3819/\"\u003e\n    \u003cimg alt=\"Python Version\" src=\"https://img.shields.io/badge/python-3.8-blue.svg\" /\u003e\n  \u003c/a\u003e\n\u003c/div\u003e\n\nUsing **historical weather data** together with location data in a DASH App to answer your question: **How is the expected weather at a particular period of the year in my destination?** \n\n* [Deploy the App](https://github.com/JAlcocerT/Py_Trip_Planner/tree/main/Deploy)\n* Further Description at: \n  * For V1: Historical Weather, with [MeteoStat](https://jalcocert.github.io/JAlcocerT/python-trip-planner/)\n  * [For V2](https://github.com/JAlcocerT/Py_Trip_Planner/releases): Historical and [Forecasted Weather](https://jalcocert.github.io/JAlcocerT/python-weather-forecast-with-open-meteo-api/)\n\n![Trip Planner Graph](./images/trip-planner-main-graph.png)\n\n  * For V3: ~~Adding AI capabilities - [Chat with Weather Data DF via LangChain](https://jalcocert.github.io/JAlcocerT/using-langchain-with-pandas-df/)~~ see `poc-vibe-weather`\n\n\n\n\n#### Quick Setup\n\n\u003e [!IMPORTANT]\n\u003e Prepare the OPENAI_API key for v3\n\n\n\u003cdetails\u003e\n  \u003csummary\u003eUsing Python Venv...👇\u003c/summary\u003e\n  \u0026nbsp;\n\n\n```sh\n#sudo apt install python3.12-venv\npython3 -m venv trip_planner_venv\n\n#Unix\nsource trip_planner_venv/bin/activate\n#.\\trip_planner_venv\\Scripts\\activate #Windows\n\npip install -r requirements.txt\n\n\nsource .env\n#export OPENAI_API_KEY=\"your-api-key-here\"\n#set OPENAI_API_KEY=your-api-key-here\n#$env:OPENAI_API_KEY=\"your-api-key-here\"\necho $GROQ_API_KEY $OPENAI_API_KEY $ANTHROPIC_API_KEY\n\nstreamlit run Z_ST_AIssistant_v2.py\n\n# git add .\n# git commit -m \"better st offer analyzer\"\n# git push\n```\n\n\u003c/details\u003e\n\n## Powered Thanks To ❤️\n\n* [Dash](https://github.com/plotly/dash)\n* [Leaflet](https://github.com/thedirtyfew/dash-leaflet)\n* [Meteostat](https://github.com/meteostat)\n* [Open-Meteo](https://open-meteo.com/)\n\n\u003e [And more...](https://jalcocert.github.io/JAlcocerT/trip-planner-with-weather/)\n\n## Ways to Contribute 📢\n\n* Please feel free to fork the code - try it out for yourself and improve or add others tabs. The data that is queried give many possibilities to create awsome interactive visualizations.\n\n* Support the Projects that made possible this App, thanks to their fantastic job, this have been possible.\n\n* Support extra evening code sessions:\n\n\u003cdiv align=\"center\"\u003e\n  \u003ca href=\"https://ko-fi.com/Z8Z1QPGUM\"\u003e\n    \u003cimg src=\"https://ko-fi.com/img/githubbutton_sm.svg\" alt=\"ko-fi\"\u003e\n  \u003c/a\u003e\n\u003c/div\u003e\n\n\n## License 📜\n\nThis program is free software; you can redistribute it and/or modify\nit under the terms of the **GNU General Public License (GPL) version 3.0**:\n\nFreedom to use: You can use the software for any purpose, without any restrictions.\nFreedom to study and modify: You can examine the source code, learn from it, and modify it to suit your needs.\nFreedom to share: You can share the original software or your modified versions with others, so they can benefit from it too.\nCopyleft: When you distribute the software or any derivative works, you must do so under the same GPL-3.0 license. This ensures that the software and its derivatives remain free and open-source.\n\nThis program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjalcocert%2Fpy_trip_planner","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjalcocert%2Fpy_trip_planner","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjalcocert%2Fpy_trip_planner/lists"}