This repository powers eazydatafix.com: the customer-facing product website, public Data Studio preview, developer documentation, public blog and private editorial Content Studio for EazyDataFix.
EazyDataFix turns messy CSV and Excel files into transparent, reviewable outputs for:
- Analysis Ready data
- Leakage-safe ML Ready inputs
- Power BI Ready model inputs
The primary customer flow is:
- Upload a file or load a sample.
- Select the intended outcome.
- Inspect detected issues.
- Approve or reject proposed transformations.
- Compare the original and cleaned preview.
- Export the result with readiness evidence.
The public /studio route is intentionally an honest browser-local CSV preview. It demonstrates the customer experience without claiming to expose the complete Python engine. The open-source v1.4.0 engine remains available through PyPI and the developer documentation.
/— product-facing homepage/studio— customer Data Studio preview/pricing— free preview, open-source engine and assisted pilot scope/blog— published content generated and reviewed through Content Studio/docs— Python documentation/examples— runnable examples/roadmap,/changelog,/analytics— project evidence and status
The existing /admin/content-studio route remains the secure editorial workspace for:
- Blog draft generation and review
- SEO and quality gates
- Publishing and scheduling
- Instagram post generation and publishing
- Editorial audit history
Authentication identifies the user; CONTENT_ADMIN_EMAILS performs server-side authorization. Draft and administrative data must never be exposed through public routes.
See CONTENT_STUDIO_SETUP.md for the Supabase, OpenAI, Instagram and automation configuration.
- Deterministic transformations before AI explanations
- No silent modification of important source values
- Preview and approval before export
- Explicit limitations instead of invented capabilities
- No invented customers, testimonials, benchmarks or time-saved claims
- Documentation remains available but is secondary to the customer product flow
- Content Studio remains private and separate from customer Data Studio
bun install
bun run devProduction validation:
bun run lint
bun run buildThis project is connected to Lovable. Preserve published Git history and keep the connected branch deployable.