Incant References

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Payload CMS

Reference: https://payloadcms.com/docs

Useful ideas:

  • code-first content/resource configuration
  • generated admin UI from data shape
  • custom components as escape hatches
  • field-level hooks and access control
  • drafts, versions, autosave, live preview
  • localization and media management

Strapi

Reference: https://docs.strapi.io

Useful ideas:

  • content-type builder experience
  • RBAC matrix
  • draft/publish tabs
  • content history
  • admin homepage widgets
  • plugin SDK and OpenAPI

For Incant, schema/content builders should generate code and migrations through Igniter rather than becoming the production source of truth.

Backpex, Kaffy, LiveAdmin, AshAdmin

Useful Elixir references:

  • Backpex: LiveView resources, customizable fields, filters, actions, metrics, Igniter direction.
  • Kaffy: ActiveAdmin/Django Admin lineage, resource discovery, dashboards, custom pages/actions.
  • LiveAdmin: low-config LiveView admin, Ecto prefixes, PubSub notifications, embedded schema editing.
  • AshAdmin: DSL-backed admin for Ash resources.

Dashbit Table

Reference: https://table.hexdocs.pm/Table.html

Useful ideas:

  • protocol-based unified access to tabular data
  • support row-based and column-based traversal
  • metadata with columns and optional count
  • lazy enumerable traversal
  • only: column selection

Incant should use this idea for a normalized table-data boundary shared by resource tables, dashboard table widgets, exports, analytics datasets, and external API data sources.

LiveTable

Reference: https://live-table.hexdocs.pm/readme.html Reference: https://live-table.hexdocs.pm/transformers.html

Useful ideas:

  • advanced filtering taxonomy: text, range, select, boolean
  • multi-column sorting
  • pagination and infinite scroll options
  • table and card modes
  • export support
  • URL-persistent state
  • transformers that receive the full Ecto query and filter state

The transformer idea is especially important for Incant because serious admin/analytics work needs joins, aggregations, subqueries, CTEs, fragments, custom ordering, access-control transforms, and cross-source analytics.