Reflex in 2026: Wiring Up Image Uploads Without Touching React

I was staring at my terminal at 11 PM last Tuesday, watching npm throw its 400th obscure dependency error of the week. All I wanted to do was add a simple image upload button to a social media scheduling tool I was building. One button. Some multipart form data. A preview thumbnail.

Instead, I was fighting with React state hooks and CORS policies across two different local servers. Well, that’s not entirely accurate — I actually hate context switching. Moving between a Python backend that handles all the heavy API scheduling logic and a TypeScript frontend just drains my momentum. So I nuked the frontend directory and decided to try rebuilding the whole dashboard in Reflex.

If you haven’t kept up with it, Reflex is the framework that lets you write your web app entirely in Python. It compiles down to a Next.js app under the hood. You never actually write the JavaScript.

The promise is great. The reality of handling media files purely through Python state classes? A bit messier. But I figured it out.

The Async Upload Trap

Setting up the basic layout took minutes. Reflex’s component system is basically just wrapping standard UI elements in Python functions. rx.vstack(), rx.heading(), you get the idea.

Then came the image uploader. For a scheduling app, you need to grab the file, show a local preview immediately, and then push it to your storage bucket without freezing the whole interface. And actually, I should clarify — my first instinct was completely wrong. I tried writing a standard synchronous function to handle the file read. The moment I uploaded a 4MB test JPEG, the entire local dev server choked. The UI locked up for three seconds while Python blocked the main thread trying to process the binary data.

import reflex as rx
from pathlib import Path

class PostState(rx.State):
    image_paths: list[str] = []
    is_uploading: bool = False

    async def handle_upload(self, files: list[rx.UploadFile]):
        # Yielding here pushes the 'is_uploading = True' state to the frontend instantly
        self.is_uploading = True
        yield 

        for file in files:
            upload_data = await file.read()
            
            # Save to the public upload directory for immediate preview
            outfile = rx.get_upload_dir() / file.filename
            with open(outfile, "wb") as f:
                f.write(upload_data)
                
            self.image_paths.append(f"/{file.filename}")
            
        self.is_uploading = False
        yield

That single yield statement saved my sanity. It tells the framework to pause, sync the state to the browser (showing a loading spinner, for example), and then resume the heavy lifting.

The Real-World Numbers

I’m running this on an M3 Mac with Python 3.12.2 and Node.js 20.11.0 (which Reflex needs for the compilation step). But, you know, the trade-off here is compilation time versus lines of code. Moving to Reflex cut my frontend logic from roughly 850 lines of React/TypeScript down to just 210 lines of Python. I no longer have an API layer connecting my frontend to my backend. The state is the backend.

However, you pay for that convenience during startup. The cold start on the dev server takes about 2.8 seconds to compile the Next.js wrapper before it serves the page. Hot reloading is faster, usually under 400ms, but it still feels slightly heavier than a pure Vite/React setup.

The Component Ecosystem Gap

And the one thing that bugs me about this approach is the lack of highly specific, pre-built media components. If you want a drag-and-drop zone that highlights when a file hovers over it, you have to wire up those event listeners manually in Python using rx.event. In React, you’d just install react-dropzone and be done in thirty seconds. I ended up writing a custom wrapper around the base upload component just to get the styling right for a media grid.

I expect the community will probably plug this gap by Q1 2027. We’re already seeing more third-party Reflex component libraries pop up on PyPI. Until then, you’re building a lot of the complex interactive bits from scratch.

I pushed the dashboard to my staging environment yesterday. The image uploads work perfectly, the scheduling logic hooks directly into the same state class, and I didn’t have to write a single API endpoint to make them talk to each other.

And if you’re building heavily interactive, animation-dense consumer apps, you should probably stick to JS frameworks. But for dashboards, internal tools, or data-heavy interfaces like a post scheduler? I’m probably not going back to React anytime soon.