Table — Injected JSON Seed

Ashlar provides three distinct architectural paradigms for data grids, allowing you to choose the exact trade-off between SEO/initial paint, client memory, and network throughput:

Unlike traditional client-side SPAs that display loading spinners while fetching remote JSON after mount, the Injected Seed pattern allows backend engines (Laravel, Symfony, Django, Rails, Go, ASP.NET) to embed datasets directly into HTML:

1. Zero Network Roundtrip (0ms latency): 10,000 enterprise records arrive embedded inside <script type="application/json"> nested directly inside <li data-ln-data-store> (or externally referenced via data-ln-data-store-seed). Zero secondary fetch requests.
2. Instant ln-data-store Ingestion: ln-data-store automatically parses the JSON, builds query indexes, and immediately serves read queries from memory or IndexedDB.
3. Cheetah / Glide-Style DOM Pool: Instead of creating 10,000 <tr> elements (which consumes 150MB+ of DOM heap and causes catastrophic browser freezing), ln-table creates a fixed pool of ~35-60 recycled rows. As the user scrolls, cell texts and attributes update in-place with zero element allocation.
4. Sub-Millisecond Search & Sort: Search keywords and popover filters run against local indices with 0ms network latency.