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Real-Time Flight Tracker with Python & Streamlit | Live Flight Map Using OpenSky API!
✈️ *Streamlit Flight Tracking App:*
This app uses *OpenSky API,* *Folium,* and *Python* to visualise real-time flight locations on an interactive map. With live updates, users can track aircraft movements, filter by airline, and explore flight details all in a simple, user-friendly interface powered by *Streamlit.*
-------------------------------------------------------------------------------------------------------------------------
🧬 *Tutorial Breakdown*
This tutorial is divided into three parts:
1️⃣ *Streamlit App Structure Overview:* A quick walk through of the app's key components and design.
2️⃣ *Flight Tracking App Demo:* Quick demo on how this app.
3️⃣ *Conclusion and Final Thoughts:* Insights on how to expand and customise the app further.
-------------------------------------------------------------------------------------------------------------------------
💯⚡ *Motivation*
This app helped me understand how to preprocess and visualise real-time *flight data* from an *API.* I wanted to work with a free and reliable aviation data source, making the *OpenSky Network* an excellent choice. This project allowed me to explore live air traffic tracking while enhancing my data processing and mapping skills.
🔗 OpenSky Network:
https://opensky-network.org/
-------------------------------------------------------------------------------------------------------------------------
🔗 *Important links*
*Dublin Bus App GitHub Repository:*
https://github.com/josericodata/FlightTrackingApp
*Streamlit Live App:*
https://flighttrackingapp.streamlit.app/
*Another Folium Streamlit App:*
https://youtu.be/PaU5KaZCJ5E?si=XkzDjYndrqVF8bJX
-------------------------------------------------------------------------------------------------------------------------
🔗 *Check out some of my Streamlit Apps*
1️⃣ 🍩 *Streamlit Tutorial Deployment:* https://tutorialdeployment.streamlit.app/
2️⃣ 📊 *S&P 500 Forecaster App:* https://sp500forecaster.streamlit.app/
3️⃣ 🚍 *Dublin Bus App:* https://dublinbusapp.streamlit.app/
4️⃣ 🪙 *Crypto Predictor App:* https://cryptopredictorpro.streamlit.app/
5️⃣ 🧮 *Statistics App:* https://statisticsapp.streamlit.app/
-------------------------------------------------------------------------------------------------------------------------
📢 *Support & Connect*
If this tutorial was helpful, please consider starring ⭐ the GitHub repository or forking it for further experimentation!
🔗 GitHub: https://github.com/josericodata
🔗 Portfolio: https://josericodata.github.io/index.html
🔗 LinkedIn: https://www.linkedin.com/in/josericodata/
✉️ maninastre@gmail.com
💬 Let me know in the comments if this was helpful or if you have any questions!
🤝 Let's build more awesome Streamlit apps together!
✅ *Don't forget to LIKE* 👍 *& SUBSCRIBE* 🔔 *for more tutorials!*
*Thanks for watching* 😊
-------------------------------------------------------------------------------------------------------------------------
*Chapters*
00:00 Introduction
01:11 Project structure
01:55 Streamlit Flight Tracking App Demo
05:10 Outro
Видео Real-Time Flight Tracker with Python & Streamlit | Live Flight Map Using OpenSky API! канала Jose María Rico Leal
This app uses *OpenSky API,* *Folium,* and *Python* to visualise real-time flight locations on an interactive map. With live updates, users can track aircraft movements, filter by airline, and explore flight details all in a simple, user-friendly interface powered by *Streamlit.*
-------------------------------------------------------------------------------------------------------------------------
🧬 *Tutorial Breakdown*
This tutorial is divided into three parts:
1️⃣ *Streamlit App Structure Overview:* A quick walk through of the app's key components and design.
2️⃣ *Flight Tracking App Demo:* Quick demo on how this app.
3️⃣ *Conclusion and Final Thoughts:* Insights on how to expand and customise the app further.
-------------------------------------------------------------------------------------------------------------------------
💯⚡ *Motivation*
This app helped me understand how to preprocess and visualise real-time *flight data* from an *API.* I wanted to work with a free and reliable aviation data source, making the *OpenSky Network* an excellent choice. This project allowed me to explore live air traffic tracking while enhancing my data processing and mapping skills.
🔗 OpenSky Network:
https://opensky-network.org/
-------------------------------------------------------------------------------------------------------------------------
🔗 *Important links*
*Dublin Bus App GitHub Repository:*
https://github.com/josericodata/FlightTrackingApp
*Streamlit Live App:*
https://flighttrackingapp.streamlit.app/
*Another Folium Streamlit App:*
https://youtu.be/PaU5KaZCJ5E?si=XkzDjYndrqVF8bJX
-------------------------------------------------------------------------------------------------------------------------
🔗 *Check out some of my Streamlit Apps*
1️⃣ 🍩 *Streamlit Tutorial Deployment:* https://tutorialdeployment.streamlit.app/
2️⃣ 📊 *S&P 500 Forecaster App:* https://sp500forecaster.streamlit.app/
3️⃣ 🚍 *Dublin Bus App:* https://dublinbusapp.streamlit.app/
4️⃣ 🪙 *Crypto Predictor App:* https://cryptopredictorpro.streamlit.app/
5️⃣ 🧮 *Statistics App:* https://statisticsapp.streamlit.app/
-------------------------------------------------------------------------------------------------------------------------
📢 *Support & Connect*
If this tutorial was helpful, please consider starring ⭐ the GitHub repository or forking it for further experimentation!
🔗 GitHub: https://github.com/josericodata
🔗 Portfolio: https://josericodata.github.io/index.html
🔗 LinkedIn: https://www.linkedin.com/in/josericodata/
✉️ maninastre@gmail.com
💬 Let me know in the comments if this was helpful or if you have any questions!
🤝 Let's build more awesome Streamlit apps together!
✅ *Don't forget to LIKE* 👍 *& SUBSCRIBE* 🔔 *for more tutorials!*
*Thanks for watching* 😊
-------------------------------------------------------------------------------------------------------------------------
*Chapters*
00:00 Introduction
01:11 Project structure
01:55 Streamlit Flight Tracking App Demo
05:10 Outro
Видео Real-Time Flight Tracker with Python & Streamlit | Live Flight Map Using OpenSky API! канала Jose María Rico Leal
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21 февраля 2025 г. 2:24:37
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