Describe events, schedule them, and stream to ClickHouse, OpenSearch, Kafka, files or any HTTP endpoint. Eventum is used for testing pipelines and detection rules, live demos, seeding databases and load testing.
Highlights: - Pipeline of three swappable stages: when events happen, what they contain, where they go - Scheduling from cron and fixed intervals to statistical time patterns - Jinja templates with an extended API (Faker and Mimesis data generators, weighted random helpers, CSV/JSON samples, and more), or Python scripts when templates aren't enough - Stateful generation: three scopes of state plus a finite state machine mode for multi-step scenarios - Parallel fan-out: stdout, files, ClickHouse, OpenSearch, Kafka, any HTTP endpoint - Live mode (events fire at their timestamps) or sample mode (everything at once) - Eventum Studio web UI, REST API, and an MCP server for AI agents
Listed in
Flexible Scheduling
Scheduling from cron and fixed intervals to statistical time patterns. Eventum has many ways to define schedule.
State Management
Eventum has three scopes of state in event template, so you can build different complex dependencies between rendered events.
Multiple Destination Streaming
Eventum supports parallel fan-out of events: stdout, files, ClickHouse, OpenSearch, Kafka and any HTTP endpoint
Live Mode
Eventum can work in two modes: Live mode (events fire at their timestamps) or sample mode (everything at once)
Web Interface
Eventum Studio is the web UI included in application mode: edit generator configurations and templates, preview rendered events, and monitor running generators.
MCP integration
Connect an AI agent to Eventum built-in Model Context Protocol server and let an AI agent author, validate, preview, and run generators.
Python (FastAPI, Pydantic, Jinja2) for the engine, CLI and REST API; React + TypeScript for the Eventum Studio web UI. Ships as a pip package and Docker image.
Libraries like Faker give you fake values - Eventum gives you the whole pipeline: scheduling, templating, state, and parallel delivery to ClickHouse, OpenSearch, Kafka, files or any HTTP endpoint. And it ships with Eventum Studio, a web UI where you preview and debug events before anything goes live.
Most data generators produce random values at a flat rate. Eventum also models behavior: traffic follows cron schedules, intervals or statistical time patterns with peaks, bursts and quiet periods, and templates persist state between events - three scopes of state plus a finite state machine mode for multi-step scenarios like user sessions.
Data engineers, SIEM and detection engineers, and developers who need realistic data for testing pipelines, live demos, seeding databases or load testing - teams that would otherwise write throwaway generator scripts.
The author works on a data analytics platform similar to Splunk, where every customer demo needs a believable case running on data that looks alive. The team generated demo data with Splunk Eventgen, but the workflow never felt convenient, so around 2023 he started building his own generator. It grew into Eventum, now used by his SIEM team and data engineers daily.
Internal SIEM and data engineering teams at the author's Cyber Security company
I don't have verified, up-to-date information about Eventum.run specifically, so I can't confirm its quality, features, or reliability. I'd recommend checking recent user reviews, testing any free trial, and verifying company legitimacy before committing.
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