Claude 32734de679 feat(project): save part of a project as a template
Automations were already portable, contrary to the original framing: project
download carries them and the partial load already had an "Automation
Settings" toggle. What was missing is the other half of that loop. To share a
set of automations you had to hand over an entire show.

Save as template is the inverse of partial load: it writes a new project file
holding only the sections you pick. Automations, custom fields, URL presets
and view settings all become templates, and a template is an ordinary project
file, so it downloads, uploads and partial loads with no new format and no new
concepts.

createProjectWithPatch already builds exactly the right object, but it routes
through loadProject and would switch the running project. Saving a template
must not pull an operator out of the show they are running, so this writes the
file without loading it, the way duplicateProjectFile already does.

The automations panel gets the loop as a Share menu: save these automations as
a template, or go load one. The form says plainly that applying an automation
template replaces rather than merges, since triggers and automations are
coupled and safeMerge swaps the whole block, and that a template without
rundowns does not carry the events that point at its automations.

Adds the first e2e coverage automations have had.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LpbLJVVT26tzWkduck1M9H
2026-08-08 15:41:57 +00:00
2026-05-28 09:50:20 +02:00
2023-05-18 14:02:22 +02:00
2026-03-08 16:22:12 +01:00
2026-07-01 12:48:40 +02:00
2026-06-11 18:58:00 +02:00
2026-03-08 16:22:12 +01:00
2026-03-08 16:22:12 +01:00
2026-03-08 16:22:12 +01:00
2021-06-12 19:26:37 +02:00
2026-07-18 15:24:25 +02:00
2026-03-08 16:22:12 +01:00
2026-03-08 16:22:12 +01:00

License: GPL v3 GitHub Downloads (all assets, all releases) Docker Pulls NPM Downloads Homebrew Cask Version

Download the latest release

Buy Me A Coffee

... or

Need help?

We do our best to have most topics covered by the documentation. However, if your question is not covered, you are welcome to fill in a bug report in an issue, ask a question in GitHub discussions or hop in the discord server for a chat.

Using Ontime?

Let us know! Ontime improves from the collaboration with its users. We would like to understand how you use Ontime and appreciate your feedback.

Ontime

Ontime is a browser-based application that manages event rundowns, scheduling, and cueing.

With Ontime, you can plan, track your schedule, manage automation and cross-department show information all in one place.

Ontime is made by entertainment and broadcast engineers and used by

  • Conference organisers
  • Touring shows and receiving venues
  • Broadcasters and streamers
  • Theatres and opera houses
  • Houses of worship

Main features

  • Multiplatform: Available as a Cloud service and for Windows, macOS, Linux, or self-hosted via Docker.
  • In any device: Ontime is available to any device with a browser, eg: tablets, mobile phones, laptops, signage, media servers...
  • Team Collaboration: Dedicated views for directors, operators, backstage, and signage.
  • Real-Time Updates: Manage and communicate runtime delays effortlessly.
  • Automatable: Ontime can be fully or partially controlled by an operator, or run standalone with the system clock
  • Flexible Integrations: Use one of the APIs provided (OSC, HTTP, Websocket) or the available Companion module to integrate into your workflow (vMix, disguise, Qlab, OBS)

... and a lot more ...

For live environments

Ontime is designed for use in live environments.
This guides the application into being flexible and efficiently integrating into different workflows.

For teams

All information added in Ontime is shared with the production team and other software / hardware in your workflow.
Ontime also improves team collaboration with dedicated views for cuesheets and operators, and for public and production signage.

Simple infrastructure

All the data is distributed over the network, making its distribution and infrastructure flexible and cheap.
With the availability of the docker image, you can also leverage IT infrastructure to make Ontime available online for your team and clients.

Ontime is made by video engineers and entertainment technicians.

App Window

Views

Read the docs to learn more

Using Ontime

Getting started

The easiest way to start with Ontime is by leveraging our Cloud service.
This will give you immediate access to running instances of Ontime which are available to share with anyone with an internet connection.

Alternatively, you can run Ontime locally for free by downloading the latest release for your platform or using the docker image, available at Docker Hub

Once installed and running, any device that shares the same network as Ontime will have access to Ontime.

More information is available in our docs

Continued development

Ontime is under active development. We continue adding and improving features in collaboration with users.

Have an idea? Reach out via email or open an issue

Issues

We use Github's issue tracking for bug reporting and feature requests.
Found a bug? Open an issue.

Contributing

Looking to contribute? All types of help are appreciated, from coding to testing and feature specification.

If you are a developer and would like to contribute with code, please open an issue to discuss before opening a Pull Request.

Information about the project setup can be found in the development documentation

License

This project is licensed under the terms of the GNU GPL v3

Sponsor

You can help the development of this project or say thank you with a one time donation.
See the terms of donations.


Buy Me A Coffee

S
Description
Free, open-source time keeping for live events
Readme 36 MiB
Latest
2026-06-07 11:53:25 +00:00
Languages
TypeScript 92.5%
SCSS 6.1%
JavaScript 1%
HTML 0.4%