CISO Assistant is a one-stop-shop GRC platform for Risk Management, AppSec, Compliance & Audit, TPRM, BIA, Privacy, and Reporting. It supports 150+ global frameworks with automatic control mapping, including ISO 27001, NIST CSF, SOC 2, CIS, PCI DSS, NIS2, DORA, GDPR, HIPAA, CMMC, and more.

Apache DevLake is an open-source dev data platform to ingest, analyze, and visualize the fragmented data from DevOps tools, extracting insights for engineering excellence, developer experience, and community growth.

A suite of tools to automate software compliance checks.

✨ Open-source DORA metrics platform for engineering teams ✨

Mapping the information system / Cartographie du système d'information

Dora VM

DoraRPC is an RPC For the PHP MicroService by The Swoole

An easy-to-use, cross-platform measurement tool that pulls data out of CD pipelines and analysis the four key metrics for you.

A project to extract and process high performing DevOps metrics (DORA) from GitHub and Azure DevOps

Python and TypeScript SDKs for verifiable evidence of AI agent actions. Signed receipts, policy enforcement, audit trails. Works with LangChain, CrewAI, MCP.

Automate the measurement of organizational behavior

Run a cloud exit assessment on your infrastructure to understand the challenges and constraints of a potential exit, and take a concrete step toward digital sovereignty.

The open platform for developer productivity++

Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"

Supporting materials for my "Intelligence-Led Adversarial Threat Modelling with VECTR" workshop

Dorametrix is a serverless web service that helps you calculate your DORA metrics, by inferring your metrics from events you create with webhooks (or manually!).

Roadmap по материалам о DevOps, помогающим его понять, осмыслить и принять

Backstage plugin to surface an organizations DORA metrics

Instant, badge-ready DORA metrics for your GitHub repository.

🦀 Decoder-only LLM built from scratch in pure Rust using Candle — no Python, no PyTorch. Gated DeltaNet + sparse attention, fine-grained MoE, native video/document understanding, long-horizon tool agents, quantization-aware training. Scales: Tiny (25M) to Large (1.3B).