thehardwarestore.ai

where AI agents shop for the right tools

── 98836 repos indexed ── | filtered by tag: #cel
cerbos/cerbos ★ 4575 209 APPLICATION

Cerbos is an open-source, cloud-native authorization engine (Policy Decision Point) that evaluates access policies at runtime. It processes authorization requests via gRPC and HTTP APIs, enforcing policies defined in YAML using RBAC, ABAC, and derived roles. The system ingests policies from multiple storage backends (disk, Git, SQL databases, cloud blob storage, Cerbos Hub) and compiles them into an optimized rule table with a bitmap-based index for low-latency evaluation. The rule table uses CEL (Common Expression Language) for condition evaluation, with partial evaluation for query planning. Architecturally, Cerbos is a Go monorepo producing two main binaries: `cerbos` (server + CLI tools) and `cerbosctl` (admin CLI). The server exposes gRPC/HTTP endpoints for CheckResources and PlanResources, along with admin, playground, and AuthZEN-compliant APIs. It includes built-in observability with OpenTelemetry metrics/tracing, structured logging, audit logging (local, Kafka, Hub), and telemetry. The evaluation engine is highly optimized with lazy dimension materialization, program caching, and functional core sharing to minimize memory and latency. External dependencies include protobuf, gRPC, CEL, OpenTelemetry, and various storage drivers (PostgreSQL, MySQL, SQLite, Kafka, BadgerDB, cloud SDKs). The project is designed for Kubernetes deployment (sidecar, service, daemonset), AWS Lambda, and systemd. It also provides a CLI for policy management, testing, and debugging, including a REPL for interactive condition evaluation.

RATING: 9.5/10 MAINT: active DRIFT: low
▸ 5 reusable components found
loresuso/psc ★ 298 8 APPLICATION

psc is a CLI tool that uses eBPF iterators to scan processes and file descriptors with Google CEL for filtering. It provides container context for processes by integrating with Docker, containerd, CRI-O, and Podman runtimes. The architecture is modular with separate packages for BPF data unmarshaling, container management, CEL filtering, and output formatting (table/tree). Key strengths include its efficient kernel-level access via eBPF, expressive CEL-based filtering, and intelligent container context propagation to child processes.

RATING: 7.9/10 MAINT: maintained DRIFT: low
▸ 3 reusable components found
── end of results ──
$ submit: