Turning your Data/AI algorithms into full web applications in no time with Taipy
summary
Taipy is an open-source Python library that claims to turn algorithms into full apps with both front-end and back-end controls — demoed as 17 lines of code to produce an interactive page, using Plotly charts and Material UI widgets, a VS Code pipeline editor, caching and multi-user state. It models dataflows as scenarios stored and actionable for what-if and KPI comparison, offers Taipy Cloud hosting, and cites a case: outsourced work cost 600k and 8 months vs 60k and 2 months when built in-house.
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chapters (17)
- 0:00Taipy introduction
- 1:46Low data project success causes
- 3:12Taipy frontend/backend fixes
- 6:20Taipy at French retailer
- 7:23First Taipy web demo
- 9:10Build Taipy app from scratch
- 12:43Adding charts and interactions
- 14:32Real-time sync in Taipy
- 17:43Taipy UI syntax options
- 18:26Taipy pipelines for data
- 20:53Configuring pipelines in Taipy
- 21:36Scenario management in Taipy
- 24:10Data node editing
- 26:24Final multi-page Taipy demo
- 27:08Taipy vs competitors
- 28:54Talk to Taipy demo
- 30:39Q&A
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