Skip to main content

# kervi Easy Python framework for robotic and automation projects. The framework runs on all platforms that supports Python and have hardware support for Raspberry pi. Wire up sensors, controllers and other devices to your Raspberry PI and link them to web based dashboards and internal application logic.

Knowledge about web servers, html or web programming is not needed. UI configuration is done in python code and the framework creates the web ui.

Features of the framework are: * Python classes for handling sensors, displays, motors, gpio and other hardware. * Python classes for handling user interactions from controllers on dashboards. * Integrated camera handling (Raspberry PI camera at the moment) * Device driver library for common devices * Very easy dashboard setup. * Dashboard UI is responsive and scales from mobile phones to desktop. * Multi process oriented by spreading over more than one core. * Multi device oriented by connecting multiple Raspberry Pi’s in one large application. * No web development knowledge is required as dashboard layout is handled in python.

[Read the full documentation](https://kervi.org/)

<img src=”https://kervi.github.io/_images/dashboard_browser.png” width=”500”> <img src=”https://kervi.github.io/_images/dashboard_mobile.png” width=”300”>

<img src=”https://kervi.github.io/_images/dashboard_cam.png” width=”500”> <img src=”https://kervi.github.io/_images/panel_cam.png” width=”300”>

Install Kervi via pip:

On Raspberry Pi

` sudo pip3 install kervi[rpi] `

On other systems like windows and linux: ` pip3 install kervi `

After Kervi is installed, a commandline tool called kervi is available. Via the commandline interface it is possible scaffold Kervi apps and setup image and video handling on Raspberry PI.

Create your first app in an empty folder by executing: ` kervi create application myapp "My first app" `

Start your new app by executing: ` python myapp.py `

The following output should be displayed: (example) ` Starting kervi application, please wait load sensors load controllers load cameras init IPC Your Kervi application is ready at http://192.168.0.120:8080 `

Goto the url specified

Metadata

Release files for kervi 0.21.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for kervi 0.21.5
File Size Uploaded Provenance Actions
kervi-0.21.5.tar.gz 1.4 MB Without provenance Details for kervi-0.21.5.tar.gz

Release files / kervi-0.21.5.tar.gz

Download URL kervi-0.21.5.tar.gz
Size 1.4 MB
Tags Source
SHA-256 checksum
How to use checksums
477cacb79f0069dd6969b28ea463d3a5d737a9cfce849d14398d16e3254ea86f
BLAKE2b-256 checksum
How to use checksums
2dca226075d2735fe713b0dc613c7a3a2c6b54c6eecf2c5ad1df1af4a4f9f4cf
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/36.6.0 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.6.1

Security for kervi 0.21.5

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.21.5 This release

1 release file No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page