fp-ts

Typed functional programming library for TypeScript providing algebraic data types (Option, Either, Task, IO, Reader, Writer, State) and type classes (Functor, Monad, Applicative). fp-ts enables total functions, explicit error handling via Either (Right/Left), and composable async operations via TaskEither — patterns from Haskell/Scala applied in TypeScript.

Evaluated Mar 06, 2026 (0d ago) v2.x
Homepage ↗ Repo ↗ Developer Tools functional typescript either option task io monads type-safety algebraic
⚙ Agent Friendliness
66
/ 100
Can an agent use this?
🔒 Security
96
/ 100
Is it safe for agents?
⚡ Reliability
85
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
78
Error Messages
82
Auth Simplicity
100
Rate Limits
100

🔒 Security

TLS Enforcement
100
Auth Strength
100
Scope Granularity
100
Dep. Hygiene
90
Secret Handling
90

Pure functional library. No side effects by design. Total functions reduce null reference and exception-based security bugs.

⚡ Reliability

Uptime/SLA
100
Version Stability
80
Breaking Changes
75
Error Recovery
85
AF Security Reliability

Best When

Your team has functional programming expertise and TypeScript experience, and you want algebraic data types and total functions with compile-time error handling guarantees.

Avoid When

Your team is not deeply familiar with functional programming — Effect-TS (simpler API) or plain async/await with Result types is more approachable.

Use Cases

  • Model agent operation results as Either<Error, Success> to enforce explicit error handling in TypeScript without exceptions
  • Chain async operations with TaskEither for agent API calls that may fail — compose with pipe() for readable sequential pipelines with typed errors
  • Use Option<T> instead of null/undefined in agent data models to eliminate null reference errors at the type system level
  • Build parser/validator pipelines for agent input processing using fp-ts Decoder (io-ts) for validated, typed deserialization
  • Compose complex agent workflows from pure functions using fp-ts pipe() and flow() without mutation or intermediate variables

Not For

  • Teams unfamiliar with functional programming and category theory — fp-ts requires deep FP knowledge; the learning curve is steep
  • Rapid prototyping or simple scripts — the verbosity of fp-ts patterns is overkill for small utilities or one-off scripts
  • Mixed JS/TS codebases — fp-ts is TypeScript-first; without strict TypeScript the type guarantees that justify the complexity are lost

Interface

REST API
No
GraphQL
No
gRPC
No
MCP Server
No
SDK
Yes
Webhooks
No

Authentication

Methods: none
OAuth: No Scopes: No

No authentication — local TypeScript library.

Pricing

Model: open_source
Free tier: Yes
Requires CC: No

fp-ts is open source and free.

Agent Metadata

Pagination
none
Idempotent
Full
Retry Guidance
Not documented

Known Gotchas

  • fp-ts v3 is in development with significant API changes — many tutorials and examples are for v2; verify version compatibility before following examples
  • HKT (Higher Kinded Types) type parameters in fp-ts generate complex TypeScript error messages that require FP expertise to understand
  • pipe() vs flow() distinction matters — pipe() takes a value as first arg and applies functions; flow() creates a new function; mixing them causes type errors
  • TaskEither sequencing with sequenceArray runs tasks in parallel by default — use pipe(TE.sequenceArray, TE.map) carefully when ordering matters
  • fp-ts Option fold() and match() have swapped argument order vs Haskell — None case comes first, Some case second in fp-ts (opposite of many other FP libraries)
  • io-ts (companion runtime type library) is separate from fp-ts core — install both for runtime validation with fp-ts Either integration

Alternatives

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for fp-ts.

$99

Scores are editorial opinions as of 2026-03-06.

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Packages Evaluated
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