edfEazyDataFix

Roadmap

The v1.4.0 engine is production-ready. The current phase turns that engine into a customer-facing workflow validated through real usage and paid pilots.

v0.1–0.2Data-quality foundationsShipped
  • Profiling, assessment and automatic cleaning
  • CSV, Excel and pandas.DataFrame inputs
  • Console, HTML, PDF, Excel, CSV, JSON and Markdown reports
v0.3.0Deterministic Agentic EDAShipped
  • Semantic dataset understanding and deterministic analysis planning
  • Modular execution with traceable findings and actions
  • HTML, JSON, Markdown and PNG EDA artifacts
v0.4.0Notebook export and human approvalShipped
  • Ready-to-run deterministic notebook export
  • Review checkpoints between planning and execution
  • Dataset fingerprint and dependency validation
v0.5.0Grounded AI narrativesShipped
  • Optional evidence-cited narratives after deterministic analysis
  • Provider-neutral adapter layer
  • Citation and workflow-integrity guardrails
v0.6–0.7Cleaning and preparation controlsShipped
  • Dry-run cleaning, per-column rules and structured change logs
  • Threshold-gated type and date conversions
  • Preparation reports with warnings and before/after details
v0.8–0.9Contracts and production workflowsShipped
  • Schema inference and reusable quality rules
  • Explicit contract pass/fail reports
  • Batch CLI, JSON/YAML configuration, JSONL logs and stable exit codes
v1.0.0Stable production APIShipped
  • Unified edf.run() workflow
  • Stable result/report objects and package-level errors
  • Compatibility across every v0.5 public workflow
  • Verified Python 3.10–3.13 release
v1.4.0Transformation-first readiness workflowsCurrent
  • Analysis Ready workflow with evidence, warnings and validation
  • Leakage-safe ML Ready train/test preparation
  • Power BI Ready single-table and multi-table model inputs
  • Verified Python 3.10–3.13 release
Product betaCustomer-facing Data StudioOpen
  • Public browser preview for transparent CSV inspection and export
  • Assisted pilots for Excel, saved recipes and Power BI workflows
  • Product priorities driven by repeated customer usage and paid pilot evidence