Migrate from Streamlit to React + Go
A Streamlit analytics or AI prototype makes a useful demo, but customers need proper accounts, persistent data and a tailored design. We build the product interface in React + Go and retain Python calculations and models where they add value.
What teams build with Streamlit
- Analytics panels and data exploration
- AI demos and chat interfaces
- Calculators and interactive reports
- Internal model evaluation tools
Platform vs our custom development
| Parameter | Streamlit | Our development · React + Go |
|---|---|---|
| Architecture | Audit coupling between UI, computation and server logic | Separate React screens, Go API and calculation services |
| Long operations | Audit workers, timeouts and job execution | Queues, task status and controlled retries |
| Reliability | Find failure causes in the current application | Workflow checks, metrics and error monitoring |
What holds your project back
Script reruns add work to interactions
In the usual execution model, widget changes rerun the script. Without forms, caching and separated computations, expensive data loading may repeat for each interaction.
Session state is not persistent storage
Session State is tied to a WebSocket connection. Page reloads can reset it; multi-instance deployments need session routing considerations. Orders and work results need separate persistent storage.
Product UI needs extra engineering
Built-in widgets speed up prototypes, but custom mobile flows, complex forms and precise design may need custom components. Data authorization and long jobs also need separate design.
What you gain after migration
Interface for real workflows
We design React screens, mobile layouts and customer accounts around daily work, including loading states and clear error handling.
Clear API and computation boundaries
We move agreed modules to a Go API and long jobs to a queue. Valuable Python models and calculations can remain separate services.
Reliability checks before switching
We verify authorization, data and integrations and measure response time and load on your workflows. Success is measured, not assumed from a language choice.
Maintainable code handover
We deliver the repository, documentation, key operation tests and startup instructions, plus logging and error monitoring.
Management tools for your team
We agree on the features you need and connect the services you already use.
Accounts and access control
We agree on roles, actions and data access for staff and customers.
Jobs and computation results
Users see progress, errors and saved results for long operations.
Management and integrations
We build team workflows and connect existing external services.
Migration process
We verify data and workflows before switching to the new system.
Python application audit
Map data, dependencies, roles, APIs and jobs. Measure problem workflows and document behavior that must remain compatible.
Module-by-module migration
Build the React interface and Go API in staging, retain useful Python services and compare data and integrations with the live version.
Verification and switchover
Check load, access and workflows, synchronize recent data and agree on a switchover window and rollback plan. Public pages also receive URL and SEO checks.
Migration questions
Official platform resources
Migration Blueprint
Discuss Your Migration
Tell us about your current system. We'll analyze the architecture, outline a zero-downtime React + Go migration, and estimate the first sprint.
- Full audit of your current stack & database
- Preserve 100% SEO equity and URL redirects
- First sprint estimate within 24h
- 100% IP & code handover, zero vendor lock-in