Adds needs/requirements to sphinx
-
Updated
Oct 7, 2026 - Python
Adds needs/requirements to sphinx
A curated list of avionics awesome resources. Looking for contributors ❗❗
Traceability extension for Sphinx documentation generator
Portable MBSE domain agents for AI-assisted systems engineering
A collection of StrictDoc templates for various standards.
A portfolio & reference project demonstrating safety-critical development using DO-178C workflow. Includes planning docs, requirements, traceability, MISRA-C code, tests, and certification evidence.
Certification-ready UI library for safety-critical products. ISO 26262, IEC 62304, IEC 61508, DO-178C. Available for preview, full release in 2026 Q4.
Ada/SPARK formal verification and compliance toolchain.
Deterministic, bit-perfect AI inference for safety-critical systems
🚀 The aerospace knowledge layer for AI agents — 3200 verified skills in 86 installable packs across 12 engineering families, mapped to 30 standards (ECSS · DO-178C · NASA) and proven by a 1754-task deterministic gate battery. AgentSkills.io format · Apache-2.0 · by Ashforde OÜ
Pipeline verification for certifiable-* ecosystem. Validates complete provenance chain from data through deployment with cryptographic binding verification. Hash-only and full replay modes.
End-to-end test harness proving bit-identity across platforms. Runs all 7 certifiable-* stages, generates golden references, and verifies deterministic execution. Proven identical: Linux/GCC ↔ macOS/Clang.
Automate requirements traceability: trace requirements to tests and code, fail CI on gaps, generate audit-ready traceability matrices.
Ada SPARK Aviyonik Veri Sıkıştırma Süiti | DO-178C Level-A & STANAG-4586 Uyumlu Gömülü ve Yer İstasyonu Sıkıştırma Motoru
Spec-driven development MCP server for AI coding agents — 8 phases, bi-directional traceability, and 7 quality gates, 15 tools over Streamable HTTP (MIT)
Deterministic model packaging and cryptographic attestation for safety-critical ML deployment
Deterministic, certifiable model quantization (FP32→Q16.16) with formal error bounds and cryptographic proof certificates. Pure C99. Zero malloc. DO-178C/IEC 62304/ISO 26262 ready.
Performance benchmarking for deterministic ML inference. Measures latency, throughput, WCET with cryptographic verification of bit-identity across platforms. 11,840 test assertions. Pure C99, no dynamic allocation. Part of the certifiable-* ecosystem for safety-critical AI.
AI-native Code-OSS workbench for safety-critical firmware. DO-178C evidence, MISRA, CBMC, CodeQL, measured MC/DC and hardware tooling in one window — with compliance runs that record what was actually measured, and claim nothing else.
Deterministic runtime monitoring for safety-critical ML. Hash-chained audit ledger, drift detection (TV/JSD/PSI), COE policy enforcement, and tamper-evident logging. 253 tests passing.
To associate your repository with the do-178c topic, visit your repo's landing page and select "manage topics."