Claude
1fad99f505
The group timer was derived in the client, which meant every view that wanted it had to depend on the rundown query. That coupling was already awkward for the PiP timer, whose separate react root needed its own query client, and it would have spread to every remaining view. Moving the derivation to the server removes the coupling. The value is still the running event timer offset by the content scheduled around it, so the group keeps behaving as if it were a single event containing all its children. Because the group timer is the event timer offset by a constant, it changes exactly when the event timer does and can share its broadcast throttling. - add RuntimeStore.groupTimer, null unless the running group opted in - split the group around the loaded event when the group is loaded, so the per tick cost is an addition rather than a walk of the rundown - derive on the getState() projection so it cannot drift from the timer it is built on - reduce the client to a plain selector, dropping the PiP query client workaround Also fixes elapsed time, which was calculated from the group duration and so clamped to zero for as long as time added to an event kept the group in credit. It is now derived symmetrically with the remaining time, and the two always add up to the total. Timer and PiP shared eight identical branches for choosing between the two timers. These now go through a single resolver. A group has no warning or danger thresholds, so it only reports as running or overtime, and feeding that phase through the existing modifiers makes the suppression of warning and danger a consequence of what a group is rather than something each view has to remember. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Kniqs443KUNCRABwVJwT7K
Download the latest release
- Download for Windows
- Download for macOS (Apple Silicon)
- Download for macOS (Intel)
- Download AppImage for Linux (Intel / AMD 64-bit)
- Download AppImage for Linux (ARM 64-bit, Raspberry Pi 4+)
- Download AppImage for Linux (ARM 32-bit, older Raspberry Pi)
... or
- Get from Docker hub
- Install from NPM
- Install from Homebrew
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.
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
Links
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.