WordPress Admin Columns VS ViewForge

WordPress Admin Columns's answer

It turns WordPress' default list tables into real management screens. Instead of Title / Author / Date, you drag in any data you actually work with — custom fields, taxonomies, post meta, user meta, ACF fields, WooCommerce data — and configure it per post type, per screen, without writing a line of code. Everything happens inside the admin you already use, so there's no separate dashboard to learn and no front-end overhead on your site.

ViewForge's answer:

Three things. (1) Data ownership: ViewForge writes fitment as Shopify metaobjects native to your store — most competitors store fitment in their own database. (2) 8 verticals out of the box: auto, motorcycle, tractor, marine, power equipment, bicycle, printer, electronics — most competitors are automotive-only. (3) Smart Parse: extract fitment automatically from your existing product titles and descriptions instead of re-typing everything.

WordPress Admin Columns's answer

It started from a problem I hit on every project: the WordPress admin shows almost nothing useful about your content. Checking whether posts had featured images, which products were missing SKUs, or when users last logged in meant opening records one by one — or writing the same column hooks again for each site. I built the first version to stop repeating that work, and released it publicly once it was clear the problem wasn't just mine. → Swap in your real dates, the site or client that triggered it, and install/version milestones.

ViewForge's answer:

ViewForge came out of agency work. Normal View was building for a parts retailer running roughly 12,000 SKUs who needed fitment search, and every app we evaluated stored the merchant's compatibility data in the vendor's own database.

That is a strange trade when you look at it directly. Fitment data is genuinely expensive to produce — it is weeks of work — and the merchant would not own the result. It would belong to whichever app happened to be installed that year.

Shopify metaobjects made a different answer possible: write fitment as native structured data inside the merchant's own store. The theme reads it, the Storefront API queries it, Admin GraphQL exports it, and it is still there after an uninstall. That decision is what the rest of the app is built around.

Everything else came from real catalogs rather than a roadmap. Eight verticals exist because a tractor catalog is not Year/Make/Model. Smart Parse exists because that retailer had already written fitment into 12,000 product titles, and nobody was ever going to retype them.

WordPress Admin Columns's answer

Most alternatives either add a fixed set of columns or require custom code through managepostscolumns hooks. This does both ends: a no-code drag-and-drop builder for site owners, and a full hooks/filters API plus PHP-registered column sets for developers who want configs in version control. It also covers every list table — posts, pages, CPTs, users, comments, media, taxonomies — rather than just posts, and pairs display with action: sorting, filtering, inline and bulk editing, and CSV export from the same screen.

ViewForge's answer:

Data ownership. Fitment lives in your Shopify metaobjects, so uninstalling does not take your compatibility data with it. Convermax, EasySearch and PartFinder all keep it in their own databases, and getting it back depends on their export tooling on the day you cancel.

Cost at the low end. The search widget, the compatibility table on the product page and the saved-vehicle garage are all on the free tier, up to 50 products, with no expiry. EasySearch puts the table and the garage behind its $75/month Premium plan. Convermax starts at $250/month.

Automotive and non-automotive coverage. Eight built-in templates, and fully custom templates from $19/month, for catalogs that do not decompose into Year/Make/Model at all.

WordPress Admin Columns's answer

Anyone managing content at volume rather than publishing occasionally. In practice: agencies and freelancers running client sites, editorial teams that need at-a-glance status across hundreds of posts, WooCommerce store managers auditing stock and pricing, membership and directory site owners working with user meta, and plugin developers who'd otherwise write column code on every project.

ViewForge's answer:

Shopify merchants whose customers need to know whether a part fits before they will buy it — and who do not have an engineer on staff to build that themselves.

Concretely: auto and truck parts retailers, powersports and motorcycle dealers, tractor and agricultural parts sellers, marine and outboard suppliers, small-engine and power equipment stores, bicycle and e-bike component shops, printer supply merchants, and electronics accessory sellers.

Catalog sizes run from a few dozen products on the free tier up into the tens of thousands; it is running in production on a catalog of roughly 40,000 SKUs. The common thread is not the industry — it is that "does this fit my thing" is the question deciding the sale.

WordPress Admin Columns's answer

PHP (WordPress Plugin API, WPListTable, hooks and filters), JavaScript for the drag-and-drop column builder and inline editing, AJAX/REST for saving configurations, SCSS for admin styling, Composer and npm for dependency management, and PHPUnit for testing. Supports current PHP and WordPress versions, with data stored via the WordPress options API.

ViewForge's answer:

• TypeScript
• Shopify metaobjects, as the fitment data store
• Shopify theme app extensions for the storefront components: fitment search, saved-vehicle garage, compatibility table, product-page fit notice
• Shopify Storefront API, for querying fitment from the theme
• Shopify Admin GraphQL API, for writing and exporting fitment records
• NHTSA vehicle database, for VIN decoding
• ACES and PIES XML parsing, for automotive catalog import

WordPress Admin Columns's answer

Only list real, verifiable names here — fabricated logos on a public comparison profile is the one thing that can actually hurt you. If you don't have permission-cleared names, use categories instead:

• Digital agencies managing multi-site client portfolios
• WooCommerce stores with large product catalogs
• Membership and directory sites managing large user bases