Open source · Linux + macOS

Systems,
in focus.

Inspect processes, services, logs, storage, networking and hardware from one terminal toolkit for Linux and macOS.

Built and used by WildFoundry
9 commandsOverview + 8 specialist views
Linux + macOSx86-64, ARM64 + armhf for Raspberry Pi OS
JSON + JSONLFor scripts and scheduled checks
Debian packagesamd64, arm64 and armhf
The suite

Start with an overview, then open the detail you need.

lens summarizes the host and opens dedicated views for processes, services, logs, storage, networking, hardware, system context and health.

02

Keep context together

Move from a process to its service, recent logs and open network listeners without starting over.

Explore the suite →
What it shows

The system information we reach for during support work.

The commands use the same process and service identities, so related information stays connected.

01

Processes and resource use

CPU, memory, I/O, process state, parents, users and service context.

02

Services and logs

Service state, restarts and recent messages from systemd, launchd and local logs.

03

Storage, networking and hardware

Mounts, routes, listeners, temperatures, firmware state and attached USB or serial devices.

04

Plain text and JSON

Use the interactive terminal, capture a report, or pass structured output to another tool.

Raspberry Pi OS / Debian
dpkg --print-architecture
sudo apt install ./dataplicity-lens_<version>_<architecture>.deb
lens
Start on your system

Three commands from package to live data.

Install the suite, run lens, and work with the processes, logs and system state on the machine in front of you.

Why we built Lens

At WildFoundry, we use Linux every day to build and support Dataplicity. Lens began as a tool for our own team: a quicker, more consistent way to inspect processes, services, logs, storage, networking and hardware while working on real systems.

Lens is not a new service or a commercial add-on. Dataplicity remains our core product, and Lens works independently of it. We are publishing Lens because it is already useful to us, and making it available may also save time for Dataplicity customers and anyone else looking after Linux or macOS systems.

Dataplicity docs