Trip Planner with Weather

Imagine a world where you’re about to embark on a trip, you already know where you are going and now, there is an App that also whispers in your ear about the weather.

Not just the weather of yesteryears, but a glimpse into the future.

Sounds like magic? Well, it’s not. It’s the power of Python and some coding.

Cycling Through Europe: How A Python App Became My Weather Compass

The open landscapes ahead, and the rhythmic turning of the pedals beneath me. Last year, I embarked on a cycling journey that took me from the historic landscapes of Poland to the picturesque terrains of Hungary.

Bikepacking, as they call it, is not just about the journey; it’s about the stories you collect along the way.

One such story was my tryst with the weather. Europe, with its unpredictable climate, threw at me sunny days, cloudy afternoons, and occasional rain showers.

While I mostly got lucky with the weather, there were moments when I wished I had a crystal ball to peek into the future. And that’s when this idea struck.

It’s not just an app; it’s the culmination of a dream, a dream born on the open roads of Europe.

The Birth of the Python Trip Planner

If I couldn’t have a crystal ball, why not build the next best thing? An app that could tell me not just about the historical weather patterns but also give me a glimpse of the future. As I pedaled through the countryside, the blueprint of the Python Trip Planner started taking shape in my mind.

Fast forward to today, the app is a reality. With features like forecast weather data, historical weather patterns, and an intuitive UI, it’s like having a weather oracle in our pocket.

Features to Fall in Love With

So, After All This Story… You must be wondering, “What’s so special about this app?” Well, let me unveil the magic behind it.

And yes, before moving on it is FREE and Open Source - You can use it too!

Historical Weather Patterns

Planning a trip months in advance? No worries - Using the powerful Meteostat library, the app dives deep into historical weather patterns. Dive deep into the usual weather patterns of your desired location.

Whether it’s the rainy season in Bali or the chilly winters of New York, you’ll know what to expect.

Forecast Weather Data

No more relying on just historical data. Thanks to the fantastic Open Meteo API, you’re no longer just looking at the past.

The app integrates forecasted weather data, giving you a clearer picture of what to expect.

Rain on Tuesday? Pack that raincoat. Sunny on Wednesday? Don’t forget the sunscreen.

Revamped UI

The user interface is now more intuitive, user-friendly, and pleasing to the eyes. Planning your trip is not just efficient but also a delightful experience.

With streamlined processes and easy-to-understand features, even your grandma can plan her trip without breaking a sweat.

Open Source Magic

Ever wondered how the magic happens? Dive into the code. It’s open for all to see, contribute, and learn. It’s not just an app; it’s a community.

Join in, make it better, or just satiate your curiosity and check how it works.

The Odyssey of Building and Deploying a Python Dash App: Trials, Triumphs and Tunnels

Every great app has a story behind it, a journey of discovery, challenges, and those “Aha!” moments. The Python Trip Planner 2.0 is no different. Let’s embark on this roller coaster of a learning process together.

Creating a Python DASH App: The Dawn

It all started with the basics. Python Dash, a framework that promises interactive web applications, was the chosen tool. The initial steps were like learning to walk.

Python Dash Meets Docker: The Docker Detour

Then came Docker, the tool that promises to package an app and its environment into a neat little container. Integrating Python Dash with Docker felt like learning a new dance. It’s all about rhythm and coordination. And once the two were in sync, the app was not just functional but also portable.

One Docker Image, Multiple Architectures: The Manifest Mystery

The world of tech is vast, with myriad architectures and platforms. The challenge? Creating manifests for a single Docker image that catered to different architectures. It was like trying to fit a square peg in a round hole, but with some tweaks and turns, the peg was carved to perfection.

Deploying to Google Cloud Run: The Gamble

With the app ready, it was time to showcase it to the world. Google Cloud Run seemed like the perfect stage. Deploying the Python Dash app on it felt like launching a rocket. But rockets are expensive, and so was the cloud. The costs started skyrocketing, and it was time for a rethink.

Self-hosting with Docker and Cloudflare Tunnel: The Homecoming

Why rely on external platforms when you can be the master of your domain? The decision to self-host the Python Dash app at home was both daring and ingenious. Docker ensured the app ran smoothly, and Cloudflare Tunnel was the guardian, safely exposing the app to the world. It was like building a castle and then drawing up the bridge to let the world in, securely.


How Can I try the Python Trip Planner App?

Trying the DASH App locally might be an easy process for people that are familiar with software development. But I want this project to help as much people as possible.

How Can I Contribute?

  • I have made all the code Open Source and this is the public Github repository where I have built the code, please feel free to have a look, experiment with the code and suggest any improvements:

Do I need to Know Python to use it?

No, you dont need to.

  • You can use it for free here:
  • And also SelfHost it locally with Docker

If you would like to modify some of the features to adapt it to your use case, you will need to have some Python basic knowledge.