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Code that cannot crash. Formally verified library for safe math, crypto, parsing, and validation. Call from Python, Rust, JavaScript, Go — any language.

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proven

The Problem

# Your code at 3am
result = 10 / user_input  # ZeroDivisionError
data = json.loads(response)["key"]  # KeyError
url = urllib.parse.urlparse(user_url)  # Malformed URL? Who knows
password = hashlib.md5(pwd).hexdigest()  # You just got hacked

Every one of these will crash your app or create a security hole.

The Solution

from proven import SafeMath, SafeJson, SafeUrl, SafePassword

# Cannot crash. Ever. Mathematically proven.
result = SafeMath.div(10, user_input)  # Returns None if zero, not an exception
data = SafeJson.get(response, "key")  # Returns None if missing, typed if present
url = SafeUrl.parse(user_url)  # Returns structured error or valid URL
hashed = SafePassword.hash(pwd)  # Argon2id, timing-safe, correct parameters

What "Mathematically Proven" Means

This isn’t marketing fluff. Here’s what makes proven different from regular libraries.

Every function in proven is written in Idris 2, a language with dependent types. The compiler literally proves your code is correct before it runs.

Understanding Dependent Types (In 2 Minutes)

In most languages, types are separate from values:

def get_first(items: list) -> int:
    return items[0]  # Crashes if empty!

The type system has no idea if the list is empty. It just trusts you.

In Idris 2, types can depend on values:

-- This type signature REQUIRES a non-empty list
getFirst : (items : List Int) -> {auto prf : NonEmpty items} -> Int

The {auto prf : NonEmpty items} part means: "The caller must provide proof that items is non-empty." If you try to call this with an empty list, the code won’t compile.

This is the core insight: instead of runtime crashes, we get compile-time errors.

How This Translates to Your Code

Regular Code Proven Code

"I think this won’t crash"

"The compiler proved this cannot crash"

"I tested it and it worked"

"Every possible input was checked at compile time"

"It passed code review"

"A theorem prover verified it"

Want to Learn More?

The proofs are available in src/Proven/ and we encourage you to explore them! Understanding dependent types is a valuable skill. Here are some resources:

That said, you can absolutely use the library without understanding the proofs—the whole point of formal verification is that the compiler has already checked correctness for you.

Modules

SafeMath — Arithmetic That Can’t Overflow

Function What It Does What It Prevents

div(a, b)

Safe division, returns None on zero

ZeroDivisionError

add_checked(a, b)

Addition with overflow detection

Silent integer overflow

mul_checked(a, b)

Multiplication with overflow detection

Integer overflow exploits

mod(a, b)

Safe modulo

Division by zero

abs_safe(n)

Absolute value (handles MIN_INT)

Overflow on abs(MIN_INT)

from proven import SafeMath

SafeMath.div(10, 2)   # 5
SafeMath.div(10, 0)   # None (not an exception!)

SafeMath.add_checked(2**63 - 1, 1)  # None (overflow detected)
SafeMath.add_checked(5, 3)          # 8

SafeString — Text That Can’t Corrupt

Function What It Does What It Prevents

decode_utf8(bytes)

Safe UTF-8 decoding

UnicodeDecodeError

escape_sql(s)

SQL injection prevention

SQL injection attacks

escape_html(s)

XSS prevention

Cross-site scripting

truncate(s, n)

Safe truncation (respects graphemes)

Slicing mid-emoji

from proven import SafeString

SafeString.decode_utf8(b"\xff\xfe")  # None (invalid UTF-8)
SafeString.decode_utf8(b"hello")     # "hello"

SafeString.escape_sql("'; DROP TABLE users;--")
# "'' ; DROP TABLE users;--" (neutralized)

SafeJson — Parsing That Can’t Fail Unexpectedly

Function What It Does What It Prevents

parse(s)

Safe JSON parsing

JSONDecodeError

get(obj, key)

Safe key access

KeyError

get_path(obj, path)

Safe nested access

Chained KeyError

get_int(obj, key)

Typed extraction

Type confusion

from proven import SafeJson

data = SafeJson.parse('{"name": "Alice", "age": 30}')
SafeJson.get(data, "name")      # "Alice"
SafeJson.get(data, "missing")   # None
SafeJson.get_int(data, "age")   # 30
SafeJson.get_int(data, "name")  # None (wrong type)

SafeJson.parse("not json")  # Error object with details, not exception

SafeUrl — URLs That Can’t Be Exploited

Function What It Does What It Prevents

parse(s)

RFC 3986 compliant parsing

Malformed URL crashes

is_safe_redirect(url, allowed)

Open redirect prevention

Open redirect attacks

normalize(url)

URL normalisation

URL bypass attacks

get_path_safe(url)

Path without traversal

../../../etc/passwd

from proven import SafeUrl

url = SafeUrl.parse("https://example.com/path?query=1#hash")
url.scheme  # "https"
url.host    # "example.com"
url.path    # "/path"

SafeUrl.parse("not a url")  # Error object, not exception

SafeUrl.is_safe_redirect(
    "https://evil.com",
    allowed=["example.com"]
)  # False

SafeEmail — Validation That Actually Works

Function What It Does What It Prevents

is_valid(s)

RFC 5321 compliant check

Bad regex accepting invalid emails

parse(s)

Extract local/domain parts

Injection via email fields

normalize(s)

Lowercase, trim, normalise

Case sensitivity bugs

from proven import SafeEmail

SafeEmail.is_valid("user@example.com")  # True
SafeEmail.is_valid("not an email")      # False
SafeEmail.is_valid("user@localhost")    # True (valid per RFC)

email = SafeEmail.parse("User@Example.COM")
email.local   # "User"
email.domain  # "example.com" (normalised)

SafePath — Filesystem Access That Can’t Escape

Function What It Does What It Prevents

join_safe(base, user_path)

Safe path joining

Path traversal attacks

is_within(path, base)

Check containment

Directory escape

sanitize(filename)

Remove dangerous chars

Null byte injection, special chars

from proven import SafePath

SafePath.join_safe("/var/uploads", "file.txt")
# "/var/uploads/file.txt"

SafePath.join_safe("/var/uploads", "../../../etc/passwd")
# Error: path traversal detected

SafePath.sanitize("file\x00.txt")  # "file.txt" (null byte removed)

SafeCrypto — Cryptography You Can’t Mess Up

Function What It Does What It Prevents

hash_sha3(data)

SHA-3 hashing

Using broken algorithms

hash_blake3(data)

BLAKE3 hashing

Slow hashing

random_bytes(n)

Cryptographic randomness

Using random.random() for security

constant_time_eq(a, b)

Timing-safe comparison

Timing attacks

from proven import SafeCrypto

# Cryptographic randomness (not random.random()!)
token = SafeCrypto.random_bytes(32)

# Secure hashing
digest = SafeCrypto.hash_sha3(b"data")
digest = SafeCrypto.hash_blake3(b"data")  # Faster

# Timing-safe comparison (prevents timing attacks)
SafeCrypto.constant_time_eq(user_token, stored_token)

SafePassword — Authentication Done Right

Function What It Does What It Prevents

hash(password)

Argon2id hashing

MD5, SHA1, bcrypt weaknesses

verify(password, hash)

Timing-safe verification

Timing attacks

is_strong(password)

Strength checking

Weak passwords

from proven import SafePassword

# Hash with Argon2id (current best practice)
hashed = SafePassword.hash("user_password")

# Verify (timing-safe)
if SafePassword.verify("user_password", hashed):
    print("Login successful")

# Strength check
SafePassword.is_strong("password123")  # False
SafePassword.is_strong("c0rr3ct-h0rs3-b4tt3ry-st4pl3")  # True

Installation

Rust

cargo add proven

Deno / JavaScript

Deno (recommended):

import { SafeMath, SafeJson } from "jsr:@proven/core";

Node.js:

npx jsr add @proven/core

Python

Using pipx (recommended for isolated environments):

pipx install proven

Using pip:

pip install proven
Tip
pipx installs packages in isolated virtual environments, preventing dependency conflicts and improving security. Install it with pip install pipx if you don’t have it.

Go

go get github.com/hyperpolymath/proven

How It Works (For the Curious)

┌─────────────────────────────────────────────────────────────────┐
│                     Your Python/Rust/JS App                     │
└──────────────────────────┬──────────────────────────────────────┘
                           │ import proven
                           ▼
┌─────────────────────────────────────────────────────────────────┐
│              Language Bindings (auto-generated)                 │
│         Python: ctypes | Rust: bindgen | JS: WebAssembly       │
└──────────────────────────┬──────────────────────────────────────┘
                           │ C ABI
                           ▼
┌─────────────────────────────────────────────────────────────────┐
│                    Zig FFI Bridge Layer                         │
│     Cross-platform • Memory safe • Stable ABI guaranteed        │
│         (see: github.com/hyperpolymath/idris2-zig-ffi)         │
└──────────────────────────┬──────────────────────────────────────┘
                           │
                           ▼
┌─────────────────────────────────────────────────────────────────┐
│                 Idris 2 Verified Core                           │
│                                                                 │
│  • Dependent types: compiler PROVES code is correct             │
│  • Total functions: every input produces valid output           │
│  • No runtime exceptions: impossible by construction            │
│                                                                 │
│  Used by: aerospace, automotive, financial, blockchain          │
│  Inspiration: HACL* (Firefox, Linux kernel, WireGuard)         │
└─────────────────────────────────────────────────────────────────┘

FAQ

Q: Is this slow?

No. Idris 2 compiles to C, then Zig optimises it. Benchmarks show performance within 5-15% of hand-written C for most operations. Crypto functions are often faster because they use constant-time implementations that avoid branch misprediction.

Q: Do I need to learn Idris 2?

Not required, but encouraged! The library bindings work like any standard library in your language. However, if you’re interested in formal verification, understanding the Idris 2 source code will help you appreciate why the guarantees are so strong. See the "Want to Learn More?" section above for resources.

Q: What if I find a bug?

If you find a bug in proven, you’ve likely found a bug in either: 1. The language bindings (our bug, please report) 2. The Idris 2 compiler (extremely rare) 3. Your understanding of the function (check the docs)

The core logic is mathematically proven. But the bindings are written by humans.

Q: Why not just use existing libraries?

Library Problem

json (Python)

Throws exceptions on invalid input

hashlib (Python)

Lets you use MD5, SHA1, and other broken algorithms

urllib (Python)

Complex API, easy to misuse, path traversal possible

bcrypt (various)

Truncates passwords at 72 bytes silently

random (Python)

Not cryptographically secure (people use it for tokens anyway)

Q: Is this production ready?

Not yet. We’re targeting 1.0 in Q4 2025. Star the repo to follow progress.

Roadmap

Now (Q1 2025)

  • ✓ Repository setup

  • ❏ SafeMath module (Idris 2)

  • ❏ Zig FFI bridge

  • ❏ Python bindings

Next (Q2 2025)

  • ❏ SafeString, SafeJson, SafeUrl, SafeEmail, SafePath

  • ❏ Rust, JavaScript, Deno bindings

  • ❏ Test suite

Later (Q3-Q4 2025)

  • ❏ SafeCrypto, SafePassword

  • ❏ Post-quantum crypto (Dilithium, Kyber)

  • ❏ Go, Gleam, OCaml bindings

  • ❏ Package registry publishing

  • ❏ Security audit

  • ❏ 1.0 release

Contributing

We welcome contributions! See CONTRIBUTING.adoc.

Especially needed: - Language binding maintainers (Go, Java, C#, Swift) - Security reviewers - Documentation writers - Test case contributors

Project What It Is

idris2-zig-ffi

The FFI bridge that makes this library callable

ddraig-ssg

Idris 2 static site generator (first consumer)

HACL*/EverCrypt

Verified crypto in Firefox, WireGuard, Linux (our inspiration)

License

Palimpsest-MPL-1.0. See LICENSE.

Commercial licensing available for proprietary use.

Security

See SECURITY.md for reporting vulnerabilities.


Stop hoping your code won’t crash. Know it won’t.

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Code that cannot crash. Formally verified library for safe math, crypto, parsing, and validation. Call from Python, Rust, JavaScript, Go — any language.

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