Choosing a JS/TS Utility Library in 2026: A Tech Lead’s Perspective

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Every couple of years, the “what’s the best utility library?” debate resurfaces. Back in the day, the answer was easy: Lodash. No discussion, no nuance. That’s no longer true.

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Liviu

27 Mar 1782, 5:23 am

Choosing a JS/TS Utility Library in 2026: A Tech Lead’s Perspective

Every couple of years, the “what’s the best utility library?” debate resurfaces. Back in the day, the answer was easy: Lodash. No discussion, no nuance.

That’s no longer true.

In 2026, the landscape has shifted—not just because new libraries appeared, but because JavaScript itself grew up. As a tech lead, I don’t just care about features anymore. I care about bundle size, type safety, onboarding friction, long-term maintenance, and how a tool shapes the way a team writes code.

So here’s how I think about utility libraries today.


The First Question: Do You Even Need One?

Before picking a library, I always ask myself or the team:

“What problem are we solving that native JavaScript doesn’t already solve?”

Modern JS covers a surprising amount:

  • Array.isArray, Array.prototype.toSorted, toReversed
  • Object.groupBy
  • structuredClone
  • findLast, findLastIndex

Ten years ago, Lodash filled real gaps. Today, many of those gaps are gone.

My rule of thumb:

  • Default to native APIs
  • Add a utility library only when it meaningfully improves readability or consistency

Compatibility note: some of the “modern” APIs above depend on your runtime targets (older browsers, older Node, embedded webviews). If you can’t rely on them yet, you’ll either need a polyfill strategy (e.g. core-js) or a small helper library that doesn’t bloat your bundle.


What “Good” Looks Like in 2026

When evaluating a utility library today, I’m optimizing for:

1. TypeScript-first design

Not “has types,” but designed around types. This affects:

  • Inference quality
  • Dev ergonomics
  • Refactor safety

2. Tree-shaking and bundle impact

If I import one function, I want one function—not half the library.

3. API clarity

Does this library make code more readable or more clever?

4. Migration cost

If we’re replacing something like Lodash, friction matters.


The Current Contenders

1. The Pragmatic Default

If I’m leading a team that just wants a modern, safe replacement for Lodash, I lean toward a drop-in-friendly, performance-oriented toolkit.

Why?

  • Minimal cognitive overhead
  • Familiar API surface
  • Easy incremental adoption

This is especially important in larger teams where not everyone wants to learn a new paradigm.

Libraries I’d shortlist here: lodash-es (when you already “think in lodash”), or newer toolkits like es-toolkit (modern defaults, tree-shakeable).


2. The TypeScript Purist’s Choice

For teams that embrace functional programming patterns and care deeply about type inference, there’s a different direction: TS-native, pipeline-friendly utilities.

These libraries:

  • Infer types across chained transformations
  • Encourage composition (pipe, map, filter)
  • Reduce runtime bugs through compile-time guarantees

The trade-off is real:

  • Steeper learning curve
  • Less familiarity for developers coming from Lodash

As a lead, I only push this direction if the team is ready for it.

Libraries I’d shortlist here: remeda (TS-first utilities), or functional ecosystems like fp-ts (powerful, but convention-heavy).


3. The Lightweight Modernist

There’s also a category of libraries focused on:

  • Small footprint
  • Filling practical gaps (especially async utilities)
  • Staying close to native JS

These are great when:

  • You don’t want a “framework for utilities”
  • You just need a few helpers done well

Libraries I’d shortlist here: radash (small, pragmatic), or very focused “single-purpose” packages where you only import exactly what you use.


4. The Legacy Option

Lodash still exists—and it’s still everywhere.

In a greenfield project, I wouldn’t choose it today. But in an existing codebase?

I would not rip it out casually.

Reasons to keep it:

  • Stability
  • Team familiarity
  • Migration cost outweighs benefits

Instead, I prefer:

  • Gradual replacement
  • Native-first for new code
  • Avoid expanding usage

What I Actually Recommend to Teams

Here’s the guidance I give in practice:

For new projects

  • Start with native JavaScript
  • Add a small, modern utility library when patterns repeat
  • Avoid heavy dependencies early

For existing Lodash-heavy codebases

  • Don’t rewrite everything
  • Introduce modern alternatives gradually
  • Prefer native APIs for new code

For highly type-driven teams

  • Consider a TypeScript-first functional library
  • But align on conventions early (this is critical)

A Quick Decision Checklist

  • If you can target modern runtimes: go native-first, add helpers only where repetition hurts.
  • If you need drop-in familiarity: pick a Lodash-like API that tree-shakes well (lodash-es, es-toolkit).
  • If types and pipelines are a core team preference: choose TS-first functional utilities (remeda), and standardize patterns (pipe, naming, data-last vs data-first).
  • If you’re stuck with Lodash today: don’t rip it out; freeze it, and migrate opportunistically.

The Real Decision Isn’t the Library

The biggest mistake I see isn’t picking the “wrong” library.

It’s this:

Letting the library dictate your coding style instead of your team’s needs.

A utility library should:

  • Reduce noise
  • Improve readability
  • Make intent obvious

If it’s doing the opposite—even if it’s “modern” or “fast”—it’s the wrong choice.


My Bottom Line

If I had to summarize my stance:

  • Native JS has replaced a large chunk of utility libraries
  • There is no universal “best” anymore
  • The right choice depends on your team’s priorities:
    • Familiarity vs. type safety
    • Simplicity vs. composability

And most importantly:

The best utility library is the one your team barely notices—because everything just reads cleanly and works.


If you’re deciding right now, don’t just compare features. Look at your team, your codebase, and your long-term maintenance costs.

That’s where the real answer is.