Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
- data-science
- python
- dag
- data-engineering
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Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Performance monitoring and benchmarking suite
Open source security data lake for threat hunting, detection & response, and cybersecurity analytics at petabyte scale on AWS
✨ Open-source DORA metrics platform for engineering teams ✨
A curated list of Site Reliability and Production Engineering Tools
:articulated_lorry: An awesome LIN bus tools, hardware and resources. It helps a reverse engineering LIN bus devices with lightly specializing in automotive embedded controller software and communication understanding.
Dreamento (DReam ENgenieering TOolbox): a Python-based software for dream engineering while monitoring/analyzing real-time EEG data.
In the midst of all the tools out there that you can possibly use to keep track of them. Here's a "shovel" that just works to try them all out.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Helmut Hoffer von Ankershoffen experimenting with auto-provisioned RPi cluster running K8S on bare-metal
Zero-overhead eBPF process tracer for Linux malware triage and incident response. Traces syscalls, network, and file events per-process without strace overhead.
A curated, opinionated collection of tools and resources dedicated to Performance Engineering, covering both Observability and Performance Testing.
The complete toolkit for building AI agents in JavaScript. Lightweight core, React & Terminal UIs, autonomous runtime, tools, skills, memory, RAG and observability. Plug-and-play from chat UI to full agents.
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
Advanced eBPF-driven Digital Forensics and Incident Response (DFIR) framework for live Golang malware analysis, threat hunting, and observability.