Tasks.md
github.comKeep task cards as Markdown files in a self-hosted Kanban board.
Keep task cards as Markdown files in a self-hosted Kanban board.
A collaborative, self-hostable canvas integrated with Nextcloud sharing and Talk.
Use managed Superset dashboards and SQL exploration without operating the hosting stack.
Explore connected databases through questions, SQL and shared dashboards.
Run a privacy-focused, open-source Kanban board for personal or team tasks.
Coordinate SaaS plans, usage meters and payment gateways
Combine website logs and browser tracking in a reporting platform with hosted and on-premise options.
Software logos prepared for self-hosted dashboards and service lists.
A self-hosted server compatible with Bitwarden clients
Self-hosted control server for a Tailscale-compatible private network
Self-hosted Markdown comments with an explicit approval queue
Connect automation code to hosted browsers or use HTTP endpoints for common browser tasks.
Keep channels, DMs, and federated conversations in a compact self-hosted server.
Schedule rooms, facilities, equipment, and staff with an online resource-booking calendar.
Use a cross-platform SQL database engine that ranges from embedded and single-user use to multi-client deployments.
A self-hosted dashboard for installing and maintaining packaged web applications on your server.
Insert a transform-and-routing layer between telemetry sources and observability or security destinations.
Monitor service health, performance, and availability across managed datacenter and hybrid workloads.
Deploy supported application code to managed dynos without administering the host servers.
Deploy Git-backed applications to managed containers with review apps, autoscaling and operational metrics.
Provision managed PostgreSQL and connect to it from Google Cloud Shell.
Connect standard PostgreSQL clients to managed Postgres with built-in connection pooling.
Run your own Linux stack on a root-access VPS while InMotion maintains the underlying hardware and network.
Attribute Kubernetes spend to clusters, teams, namespaces, and workloads, then surface savings opportunities.