Desktop App for macOS, Windows & Linux

KafkaStreamyard
Your powerful Kafka data toolkit

Finally something that isn't an MVP let down.

Stream, filter, inspect, copy, and manage Kafka topics with a tool built for engineers and testers who need to live in the data layer.


To be released in August 2026

A fast way to work at the data layer

Create reusable data samples, send organised messages, and stream live topic data without leaving the workflow.

Manual Testing

Edit and resend real messages fast

Use the message details panel to inspect real messages, make careful edits, save into favorite tabs, organise for workflow order, and send them back to a topic so manual testing and retesting stay fast and controlled.

Live Streaming

Follow cross-topic flows live

Combine multiple filtered topic streams into one chronological investigation view when you need to trace events across topics, so you can follow users, workflows, and issues as they happen.

Playback and Filtering

SL filters with autocomplete and save them

Build Streamyard Language (SL) filters with autocomplete for JSON messages, async playback messages, keys, and headers. Reuse recent and saved filters across topics and environments for faster repeat investigations.

Investigations

Keep investigation context

Keep persisted playback data visible on topics so your investigation context is still there after reconnects and restarts. Open popout windows on the same connection and switch views instantly without losing what is already in front of you.

Data Samples

Create complex samples for reliability tests

Build reusable payload samples with business-style data patterns so realistic manual testing is faster to set up and repeat, then play them back in different ways and quantities across topics.

Playbooks

Run repeatable workflow scripts

Use playbooks for setup, reset, import, copy, and environment workflows whether you are running local tests or working in large shared environments with your own topics.

Download the desktop app

macOS, Windows, and Linux.

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