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Valid8r, Functional validation for Python CLIs using Maybe monads

Details

External ID
45869840
Source
HN
Company
—
Product
Valid8r, Functional validation for Python CLIs using Maybe monads
Website domain
github.com
Launched
Nov. 9, 2025
Cohort
—
Upvotes
6
Upvotes percentile
0.27074235807860264
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

I built Valid8r because I got tired of writing the same input validation code for every CLI tool. You know the pattern: parse a string, check if it's valid, print an error if not, ask again. Repeat for every argument.The library uses Maybe monads (Success/Failure instead of exceptions) so you can chain parsers and validators: # Try it: pip install valid8r from valid8r.core import parsers, validators # Parse and validate in one pipeline result = ( parsers.parse_int(user_input) .bind(validators.minimum(1)) .bind(validators.maximum(65535)) ) match result: case Success(port): print(f"Using port {port}") case Failure(error): print(f"Invalid: {error}") I built integrations for argparse, Click, and Typer so you can drop valid8r parsers directly into your existing CLIs without refactoring everything.The interesting technical bit: it's 4-300x faster than Pydantic for simple parsing (ints, emails, UUIDs) because it doesn't build schemas or do runtime type checking. It just parses strings and returns Maybe[T]. For complex nested validation, Pydantic is still better. I benchmarked both and documented where each one wins.I'm not trying to replace Pydantic. If you're building a FastAPI service, use Pydantic. But if you're building CLI tools or parsing network configs, Maybe monads compose really nicely and keep your code functional.The docs are at https://valid8r.readthedocs.io/ and the benchmarks are in the repo. It's MIT licensed.Would love feedback on the API design. Is the Maybe monad pattern too weird for Python, or does it make validation code cleaner?---Here are a few more examples showing different syntax options for the same port validation: from valid8r.core import parsers, validators # Option 1: Combine validators with & operator validator = validators.minimum(1) & validators.maximum(65535) result = parsers.parse_int(user_input).bind(validator) # Option 2: Use parse_int_with_validation (built-in) result = parsers.parse_int_with_validation( user_input, validators.minimum(1) & validators.maximum(65535) ) # Option 3: Interactive prompting (keeps asking until valid) from valid8r.prompt import ask port = ask( "Enter port number (1-65535): ", parser=lambda s: parsers.parse_int(s).bind( validators.minimum(1) & validators.maximum(65535) ) ) # port is guaranteed valid here, no match needed # Option 4: Create a reusable parser function def parse_port(text): return parsers.parse_int(text).bind( validators.minimum(1) & validators.maximum(65535) ) result = parse_port(user_input) The & operator is probably the cleanest for combining validators. And the interactive prompt is nice because you don't need to match Success/Failure, it just keeps looping until the user gives you valid input.

Enrichment

Theme
niche developer utilities and toolchains
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
Not AI
Project type
Hobby / open-source project
Normalized one-liner
functional validation library for python clis
Manually corrected
False

Could you build this?

Yes This is a small functional Python utility library implementing the Maybe/Result monad pattern for CLI inputs, easily generated by an AI assistant in a few prompts.

Discussion

No comments on this launch.

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Attention rank: #47 of 63 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 1 day after the earliest competitor.

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