stack-profile:analytics-dashboard
Analytics Dashboard Stack (React, D3, Recharts, Python, FastAPI, Grafana) overview
A data analytics dashboard combining React with D3 and Recharts for rich, interactive visualizations — from time-series charts and heatmaps to custom SVG-based diagrams. Python with FastAPI serves as the analytics API layer, running complex aggregation queries and statistical computations. Pandas and NumPy handle server-side data processing. Grafana provides complementary operational dashboards for monitoring data pipeline health. PostgreSQL or a columnar store holds the aggregated analytics data. The tradeoff is a split-language stack — TypeScript on the frontend, Python on the backend — which requires careful API contract management and two separate build pipelines, but unlocks Python's superior data science ecosystem on the server side.
Attributes
Outgoing edges
- domain:data-science·DomainData Science
- domain:business-intelligence·DomainBusiness Intelligence
- framework:react·FrameworkReact
- library:d3·LibraryD3.js
- library:recharts·LibraryRecharts
- language:python·LanguagePython
- framework:fastapi·FrameworkFastAPI
- tool:grafana·ToolGrafana
- library:pandas·Librarypandas
- language:typescript·LanguageTypeScript
- library:numpy·LibraryNumPy
- workflow:dashboard-development-cycle·WorkflowDashboard Development Cycle
- workflow:analytics-instrumentation-audit·WorkflowAnalytics Instrumentation Audit
- skill-area:data-visualization·SkillAreaData Visualization
- skill-area:data-analysis·SkillAreaData Analysis
- skill-area:frontend-development·SkillAreaFrontend Development
- skill-area:backend-api-design·SkillAreaBackend API Design
- skill-area:python-data-pipelines·SkillAreaPython Data Pipelines
- role:data-analyst·RoleData Analyst
- role:frontend-engineer·RoleFrontend Engineer
- role:data-scientist·RoleData Scientist