Hopp
Remote pair programming app with low-latency 4K screen sharing, drawing, and remote control, with clients for macOS and Windows (alternative to Tuple, Pop, Drovio, Coscreen).
Maintained, but at a slower pace than the leaders in its category.
Commit activity more than 21% of tracked projects; popularity more than 29%. How this is calculated.
Commits, last 11 months
| Stars | 690 |
|---|---|
| Latest release | v1.0.32 · 20 Sept 2026 |
| Repo updated | 20 Sept 2026 |
| Licence | AGPL-3.0 |
| Built with | Docker |
Is Hopp actively maintained?
Over the last 11 months the project absorbed 62 commits, of which 62 arrived in the most recent quarter — roughly 21 commits a month.
The most recent tagged release, v1.0.32, shipped within the last month — a current, installable version exists today.
Hopp ranks #9 of 14 tracked software development - ide & tools projects. Several better-maintained options exist in the same category — they are listed below.
What Hopp actually does
Hopp is a remote pair programming application designed for collaborative coding sessions. It provides ultra-low-latency 4K screen sharing alongside shared drawing tools and remote control functionality. Operating under the AGPL-3.0 licence, it serves as an open-source alternative to proprietary collaboration tools.
Best fit: Development teams who want to host their own remote collaboration infrastructure or require high-definition screen sharing for pair programming.
Worth knowing: Low-latency 4K streaming demands significant network bandwidth and server resources, and the platform competes in a space with established commercial alternatives.
Deployment notes
As a containerised application distributed via Docker, it typically requires persistent storage for configuration data and a reverse proxy to handle TLS termination properly.
Links
Alternatives to Hopp
Projects in the same categories, ordered by health score.
LLM engineering platform for model tracing, prompt management, and application evaluation. Langfuse helps teams collaboratively debug, analyze, and iterate on their LLM applications such as chatbots or AI agents.
Remote development machines on your own infrastructure.
VS Code in the browser, hosted on a remote server.
Web-based environment for interactive and reproducible computing.
Build internal tools, BI dashboards, admin panels, CRUD apps and workflows in minutes using YAML / JSON.
Web browser based IDE for R.