Showing 3 open source projects for "bounds"

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    Checked C

    Checked C

    Checked C is an extension to C that lets programmers write C code

    ...Checked C does not address use-after-free errors. Checked C adds static and dynamic checking to C to detect or prevent common programming errors such as buffer overruns and out-of-bounds memory accesses. The goal of the project is to improve systems programming by making fundamental improvements to C. This repo contains sample code, the extension specification, and test code. The Checked C project is extending the C programming language so that programmers can write more secure and reliable C programs. The project is developing an extension to C called Checked C that adds checking to C to detect or prevent common programming errors such as buffer overruns, out-of-bounds memory accesses, and incorrect type casts.
    Downloads: 1 This Week
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  • 2
    Wuffs

    Wuffs

    Wrangling Untrusted File Formats Safely

    Wuffs is a memory-safe, zero-dependency library and domain-specific language for writing high-performance image codecs and related parsers. Instead of trusting ad-hoc C, Wuffs code is compiled to C with strong bounds, integer, and state checks inserted by construction, aiming to eliminate whole classes of security bugs without a heavy runtime. The design prioritizes predictable performance: decoders avoid dynamic allocation by default, return explicit “short read” signals, and run well in streaming or sandbox-free environments. The project ships battle-tested, CPU-friendly implementations for common image/container formats and bit-twiddly primitives like Huffman and checksum routines. ...
    Downloads: 0 This Week
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  • 3
    Pkl

    Pkl

    A configuration as code language with rich validation and tooling

    ...Its goal is to let you write configuration logic (modules, imports, conditions, defaults) while still producing static outputs suitable for tools that expect JSON, YAML, or other formats. Configurations in Pkl are type-safe and support validation constraints (e.g. bounds, relations) so many errors can be caught before deployment. The language is embeddable, meaning it can run inside applications (Java, Swift, Go, etc.) to load configuration dynamically with the same safety guarantees. There’s also code generation support: writing Pkl modules can generate matching classes or data structures in target languages (Swift, Go, Java, Kotlin) so runtime config and statically typed code stay in sync.
    Downloads: 0 This Week
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