An entry revision advances on every change to that entry, which makes it a cheap marker for what has moved on in a rundown. The client did not maintain it: an optimistic entry carried the old revision, so the entry the server returned always differed from ours by that one field. That difference is enough to defeat structural sharing. A new entries object recomputes the rundown metadata, which fires the effect behind the list, which re-renders every visible row. Editing one title on a fourteen entry rundown cost eight structural and sixty-one attribute mutations, twice over. - optimistic patches apply the same revision bump the server does, so an unchanged entry keeps its identity and a refetch costs nothing to render - the rundown metadata memo keys on the fields the derivation reads, so a change of rundown revision alone no longer churns the list - editing an entry now reads the server response, which is the authority on what was applied, and only writes when it differs from what we predicted Measured on the same edit: eight to four structural, sixty-one to forty-one attribute mutations. Both changes are needed, neither helps on its own. Two bugs found on the way. A swap stored the pre increment revision, so swapped entries were indistinguishable from untouched ones. The optimistic batch edit spread the request envelope onto the entry rather than the patch, so it never applied the edit it was predicting. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_011a5cbVjNC5XXF88b2PkUCa
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.


