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| title: "Climate Clock Observatory" | |
| emoji: π | |
| colorFrom: green | |
| colorTo: blue | |
| sdk: streamlit | |
| sdk_version: "1.32.0" | |
| app_file: app.py | |
| pinned: false | |
| # π Climate Clock Observatory | |
| This Streamlit app visualizes real-time climate indicators using the [Climate Clock API](https://docs.climateclock.world/climate-clock-docs/climate-clock-api). It is built as part of a final project to demonstrate how data can be transformed into an engaging and informative climate observatory. | |
| ## π Visualizations Included | |
| 1. **COβ Budget Depletion Projection** β 10-year forecast using current depletion rates. | |
| 2. **Global Energy Mix** β A donut chart showing the percentage of global energy from renewables. | |
| 3. **Lifeline Metrics** β A bar chart showing positive contributions like trees planted and energy created. | |
| 4. **Time Until 1.5Β°C Breach** β Countdown clock showing years, months, and days remaining. | |
| 5. **COβ Budget Simulator** β Interactive slider that simulates reduced emissions and updates the budget timeline. | |
| ## π How to Run | |
| ```bash | |
| pip install -r requirements.txt | |
| streamlit run app.py | |
| ``` | |
| ## π οΈ Tech Stack | |
| - Streamlit | |
| - Altair | |
| - Pandas | |
| - Climate Clock API | |
| ## π₯ Contributors | |
| Sanidhya and Group Members | |
| ## π Notes | |
| - All plots are created using Altair as per project guidelines. | |
| - The app uses a refresh-button-friendly design and pseudo real-time data. | |
| Enjoy exploring our climate observatory! | |