Broker CRM Dashboard
Build a broker CRM in Reflex with Python, database-ready workflows, polished UI, and tools for broker CRM and client pipeline.
Sales & MarketingFinance
Big Four Banking Genealogy
Build a banking dashboard in Reflex with Python, database-ready workflows, polished UI, and tools for bank genealogy and relationship intelligence.
Finance
Use templateAbout This Template
Build a production-ready banking dashboard with Reflex and Python. This template is designed for finance, consulting, and research teams mapping banking relationships who need a usable app structure for bank genealogy, relationship intelligence, institution mapping, and deal research, not a static mockup. The app pattern includes a focused dashboard, searchable tables, detail views, validated forms, status-aware actions, empty and loading states, and database-ready state management. Use it as a starting point for a financial relationship mapping, organization chart dashboard, banking genealogy, and entity relationship dashboard while keeping full control of the Python codebase.
Frequently Asked Questions
This template maps institutions, subsidiaries, advisors, and executives as a navigable relationship graph with profile pages for each entity. Parent and subsidiary links are data, so you can load your own ownership records and get the same lineage view.
The network view renders nodes and edges from plain Python records, alongside a searchable directory and filters. Because the layout is driven by data rather than a fixed picture, org charts, ownership trees, and advisor networks all use the same component.
Each entity carries notes, tags, dates, and typed relationships, so you can trace a deal to the institutions and bankers involved. Filters narrow the graph to one relationship type or time period when the full network gets dense.
Yes. The seeded entities are plain Python objects, so your own ownership records drop in without touching the graph or directory. Teams typically load entity and relationship records from Postgres via SQLModel, or pull from a corporate data provider's API and map the response into the same node and edge structure.