GitHub Pages
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surge.sh
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tiiny.host
Eventum.run
Faker
Mockaroo
Mimesis
ShadowTraffic
Tonic AI
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
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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
Based on our record, GitHub Pages seems to be more popular. It has been mentiond 504 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The site itself is a statically generated Next.js app, built in CI and deployed to GitHub Pages via actions/deploy-pages. No server to manage, no hosting bill. - Source: dev.to / 5 months ago
Static sites are fast and cheap to host, but your data goes stale the moment you deploy. This post shows how a SvelteKit portfolio site serves live data from five external sources while still deploying as static HTML to GitHub Pages. - Source: dev.to / 5 months ago
All three themes are designed for accessible deployment. You can host them for free on Netlify, GitHub Pages, Vercel, or Cloudflare Pages. The only cost is a domain name (which can be as cheap as $5/year on Porkbun). - Source: dev.to / 7 months ago
This action can store collected benchmark results in GitHub pages branch and provide a chart view. Benchmark results are visualized on the GitHub pages of your project. - Source: dev.to / 11 months ago
But that's not the case. The blog is a simple static generated website using Jekyll, it is built and served through GitHub Pages. With that in mind it makes more sense to use tools and leverage tool calling. - Source: dev.to / 12 months ago
Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.
Faker - Faker is a PHP library that generates fake data for you
Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket
Mockaroo - A realistic data generator to test your app
Jekyll - Jekyll is a simple, blog aware, static site generator.
Mimesis - Application and Data, Data Stores, and Database Tools
