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IconMind

Compared

IconMind vs Tabler Icons

Tabler is the biggest of the stroke sets. IconMind is under half the size and covers what Tabler does not: the software being built in 2026.

The short answer

Use Tabler if breadth is the requirement. 5,130 outline icons and 1,054 filled, MIT licensed, drawn on the same 24 px grid, and if you need a tractor, a stethoscope or a brand mark, Tabler has one and IconMind never will.

Use IconMind if the screens that matter are about models, agents, retrieval or infrastructure. Tabler covers that ground with a few dozen icons: a robot, a brain, sparkles, a couple of AI-labelled shapes. IconMind covers it with 664, drawn as families that share a body so a reader can tell an agent from a model from a tool at a glance.

The sets do not fight. Same grid, same stroke, same round terminals. Plenty of products would sensibly run Tabler for breadth and IconMind for the domain.

 IconMindTabler Icons
Icons2,287 (0.6.0)6,184 components (v3.46.0)
AI and agent vocabulary664 icons for LLMs, agents, MCP, RAG — a third of the seta few dozen (robot, brain, sparkles, ai)
Variants and weightsoutline and duotone, each in thin / regular / bold (6 drawings per icon)outline and filled; stroke width as a prop
FrameworksReact, Vue, Svelte, Solid, Preact, React Native, Astro, Laravel Blade, Flutter — one source, one releaseReact, Vue, Svelte, Solid, Preact, React Native, Flutter, PNG, webfont
MCP server for assistantsyes — `npx @iconmind/mcp` searches the set and returns paste-ready codeno
Grid and stroke24 px, 2 px stroke, every cell machine-validated24 px, 2 px stroke
LicenceMIT — commercial use, no attributionMIT

Breadth against depth

Tabler is one of the largest hand-maintained icon sets in open source, and its size is the point. A form builder, an admin panel, a hospital dashboard and a farm management app can all be drawn from it without inventing anything. That is a genuine achievement and it took years.

The cost of breadth is that no single domain gets deep treatment. Tabler's AI icons are the ones a general set reaches for: robot, brain, sparkles, a chip. They are fine as decoration and they fall apart as vocabulary, because a screen that shows an agent, a model, a tool call and a retrieval step needs four different pictures that a reader can learn.

IconMind made the opposite trade. It is a little under half the size of Tabler's outline set and spends 664 of its icons on one domain, with a grammar behind them: an open ring is an agent, a chamfered frame is a machine or an MCP server, a two-pronged plug is a tool, a page with a fold is a document. Learn four bodies and you can guess the next icon in a family before you see it.

 TablerIconMind
Icons5,130 outline, 1,054 filled2,287 outline (all with duotone)
Drawings per icon2 (outline, filled)6 (outline and duotone at three weights)
AI and agent vocabularya few dozen general shapes664 icons in named families
Brand logosyesno, and not planned
Unpacked React package63.0 MB across 12,386 files5.6 MB across 6,867 files
LicenceMITMIT

Filled against duotone

Tabler's second style is filled: the same silhouette with the interior solid. It reads well at small sizes and it is the convention most sets follow, Heroicons included.

IconMind tried a filled variant and dropped it. A solid silhouette throws away the interior detail that makes these icons distinguishable, and this set leans on interior marks more than most: an agent with a check inside, a machine with a chamfer, a server with a status light. Filled versions of those are nearly the same shape.

Duotone solves the same problem differently. The body takes a twenty percent tint and the strokes stay where they are, so the icon gains weight on a screen without losing what is inside it. And because the tint is derived by rule rather than drawn by hand, every icon has one.

Weights that are drawings

Both sets expose stroke width, and in Tabler that is a prop applied to a single drawing. Turn it up and the counters close; turn it down and the icon goes faint. It works within a narrow range, which is what most interfaces need.

IconMind treats a weight as a separate cell with its own geometry. The thin cell is 1.5 px, regular is 2 px, bold is 2.5 px, and each is validated on its own: minimum gaps grow with the stroke, so a bold icon moves strokes apart rather than letting them merge. There is an absoluteStrokeWidth prop as well, for the case where an icon has to hold its line weight while its box grows.

<VectorDatabase weight="thin" />    // 1.5 px, its own drawing
<VectorDatabase />                  // 2 px
<VectorDatabase weight="bold" />    // 2.5 px, gaps widened to survive it

Packages and tooling

Tabler ships React, Vue, Svelte, Solid, Preact, React Native, Flutter, a webfont and PNG exports. IconMind ships React, Vue, Svelte, Solid, Preact, React Native, Astro, Laravel Blade, Flutter, plain SVG, a sprite sheet, an Iconify collection and an MCP server.

Two differences worth knowing. Tabler has a webfont and IconMind does not, deliberately, because a font cannot carry duotone or three real weights. IconMind has an MCP server and Tabler does not: a coding assistant can search the real set before it writes an import, instead of inventing a component name that does not exist.

Both sets can be used without any package at all. Tabler publishes raw SVG; IconMind publishes raw SVG, a sprite of symbols, and every cell as a file on disk under a predictable path.

How each set is kept consistent

Tabler is reviewed by people, at scale, with a contribution guide and a long-running maintainer team. That is how most icon sets work and it is why Tabler holds together across six thousand drawings.

IconMind is compiled. Each icon is a declaration, and a validator refuses geometry it cannot draw correctly: anchors off the half-unit grid, angles that are not 0, 45 or 90 degrees, strokes that vanish at bold, icons that do not fill the same optical box as the rest. A nightly job then rasterises all 13,722 cells and fails if any two icons render alike.

Neither approach is better in the abstract. The compiler catches drift that eyes miss at this scale, and it also refuses drawings a human would have shipped: Bluetooth is not in the set because its rune needs three stroke crossings where the rule allows two.

Finding the icon you want

Tabler's search is name-first with a tag layer on top, and at six thousand components the names carry a lot of weight. It works well when you know roughly what the thing is called and less well when you are searching for a concept.

IconMind indexes four fields per icon: the name, a description written for the search box rather than for a designer, a list of tags, and a list of aliases for the words people actually type. Search for llm and you land on model; search for vector db and you land on vector-database; search for handoff and you get the agent family.

There is also an MCP server, which matters more than it sounds. When an assistant writes an import for an icon set it does not have indexed, it guesses a plausible component name and is often wrong. Pointed at the MCP server it searches the real metadata first, so the import compiles.

What switching actually costs

Most of the work is naming. Both sets use kebab-case slugs and PascalCase components, and a large share of the interface icons map one to one: arrow-left, check, trash, settings, search. Those are a find and replace.

The rest is a judgement call per icon, and it is worth doing by hand because the sets do not agree on everything. Tabler's brand icons have no equivalent here and never will. Some Tabler icons are more literal than the IconMind equivalent, and a few IconMind icons split into families where Tabler has one drawing.

The pragmatic path is not to switch at all. Add IconMind for the domain screens, leave Tabler where it already works, and set the weight to regular so the two sit at the same 2 px. Nothing about either package objects to the other being installed.

import { IconSettings, IconTrash } from "@tabler/icons-react";
import { AgentRun, VectorDatabase } from "@iconmind/react";

// same grid, same 2 px, same round caps

Asking for an icon

Tabler takes requests as issues and additions as pull requests, which is how a set reaches six thousand components: many hands, one review queue. If the icon you need is missing, someone can draw it and it lands in a release.

IconMind adds icons in rounds instead. A round picks a theme, the icons are declared as geometry, and the round either passes every gate or goes back. That is slower and it means you cannot get one icon added on request, but it is also why the set has no drawing that was waved through on a deadline.

That has a cost worth stating: an icon here cannot be nudged by eye. If a drawing needs a curve that is not on the grid or an angle that is not 0, 45 or 90 degrees, it does not get made. A few icons that would be easy to draw by hand are missing for exactly that reason, and the refusals are published with the reasoning instead of being left as silent gaps.

When Tabler is the better choice

If the product is a general admin tool, an internal dashboard, a booking system or anything that has to name a lot of physical things, Tabler will cover it and IconMind will not. A large part of what Tabler draws is outside this set's scope by design.

If you need brand marks, Tabler has them and IconMind refuses them, because logos carry trademark terms that a blanket MIT licence cannot honestly cover.

If a webfont is the delivery mechanism your stack expects, Tabler ships one. IconMind does not and will not, because a font cannot carry a duotone tint or three separately drawn weights.

How these numbers were measured

The package sizes were read from the npm registry on 31 August 2026, from the published tarballs: @tabler/icons-react 3.46.0 unpacks to 63.0 MB across 12,386 files, @iconmind/react 0.6.0 to 5.6 MB across 6,867 files. That is disk in node_modules. Neither number is what a browser downloads, because both packages ship per-icon modules and tree-shake to what you import.

The icon counts come from the same tarballs rather than from either project's marketing: @tabler/icons-react 3.46.0 exports 6,184 components, 5,130 outline and 1,054 filled. IconMind has 2,287 icons and 13,722 cells across two variants and three weights, 664 of them in the AI, agent, MCP and RAG families.

On breadth those numbers speak for themselves: Tabler draws more than twice as many things as this set does, and it will keep doing so. The tables are written to say that plainly rather than to work around it.

The verdict

Tabler is the better general-purpose set and this page is not going to argue otherwise. Five thousand outline icons and a thousand filled, all MIT, drawn on the same grid at the same stroke, is a resource most products can build an entire interface from.

What it does not have is a vocabulary for models, agents, retrieval and infrastructure, because no general set does. That is the gap IconMind was drawn for, and 664 of its icons live in it.

Questions

Can I use Tabler and IconMind together?
Yes, and for most teams that is the sensible answer. Both are 24 px with a 2 px stroke and round terminals, so the regular weight sits beside Tabler without adjustment. Use Tabler for breadth and IconMind for the domain screens.
Why is the IconMind package so much smaller than Tabler's?
Fewer icons and no per-icon runtime. Tabler's React package unpacks to 63.0 MB across 12,386 files; IconMind unpacks to 5.6 MB across 6,867. Neither number reaches the browser: both tree-shake to the icons you import.
Does IconMind have brand or logo icons like Tabler?
No, and it will not. Trademarks come with usage terms that a blanket MIT licence cannot honestly cover, so brand marks are one of the categories this set refuses outright.
What happens to icon names if I migrate?
Most interface icons map one to one on their slug, so a find and replace covers the bulk of it. The rest needs a look per icon, because some Tabler icons have no equivalent here and some IconMind entries split into a family where Tabler has a single drawing.

Other comparisons

2,437 icons, one set

Outline and duotone at three weights, compiled from one grid, with the code for nine frameworks and an MCP server that picks them. MIT — commercial use, no attribution.