
Google Analytics
Swetrix
Counter
Simple Analytics
Waistra Analytics
Ghostboard.io
AT Internet
Statify provides a straightforward and compact access to the number of site views.

Faker
Mockaroo
Mimesis
ShadowTraffic
Tonic AI
Eventum is an open-source developer tool for generating realistic test data: logs, metrics, security events and transactions.
Which is more popular?
Website, pricing, platforms and company facts side by side.
|
|
|
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|---|---|---|
| Website | wordpress.org | eventum.run |
| Pricing | — | |
| Platforms | — | |
| Company | — | 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Statify yet.
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...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Statify is recommended for bloggers, small business owners, and website administrators who prioritize simplicity and privacy over extensive data analytics. It's particularly appealing to those looking for a no-cost, easy-to-integrate option that respects user privacy.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Statify and Eventum.run.
Eventum.run's answer:
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.
Eventum.run's answer:
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.
Eventum.run's answer:
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.
Eventum.run's answer:
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.
Eventum.run's answer:
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.
Eventum.run's answer:
Internal SIEM and data engineering teams at the author's Cyber Security company
Share your experience with using Statify and Eventum.run. For example, how are they different and which one is better?
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