AECharts VS ViewForge

AECharts's answer

AECharts is unique because it turns raw data into ready-to-share animated chart videos in seconds.

Upload CSV or paste data → get MP4/WebM charts instantly

Built for video, not dashboards. Perfect for Reels, TikTok, YouTube, slides

Fully customizable charts: colors, labels, axes, animations

No After Effects, no templates, no design skills needed

Exports lightweight videos optimized for social and web

Runs in the browser. No installs. No login required

Made for creators, journalists, marketers, and analysts who need visual data fast

Most chart tools make images. AECharts makes motion.

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.

AECharts's answer

Choose AECharts over competitors because it’s the fastest way to turn data into shareable animated visuals with zero design work.

Video-first output: Unlike static chart tools, AECharts generates MP4/WebM animations ready for social platforms and presentations.

No software to install: Works entirely in the browser — no plugins, downloads, or steep learning curves.

Auto smart layouts: Automatically positions labels, colors, and axes so charts look polished without tweaking.

Speed and simplicity: Seconds from data to video versus hours in traditional design tools.

Custom branding: Easy control of fonts, colors, transitions to match your style.

Lightweight exports: Optimized video files for web, mobile, and social engagement.

In short: AECharts delivers animated, on-brand data visuals faster and easier than any alternative.

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.

AECharts's answer

People who need data to work on video.

Content creators making Reels, TikToks, YouTube, Shorts

Journalists and media pages posting data stories

Marketers creating social ads and explainer videos

Analysts who want charts that move, not just screenshots

They care about speed, shareability, and visual impact, not dashboards or BI tools.

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.

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.

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