Panelica now runs Python applications natively. Internal APIs, business integrations, data processing jobs, reporting services and customer-facing web applications can be deployed, supervised and governed from the same panel that already manages your web hosting, mail, DNS and databases — on infrastructure you own and control. This announcement covers why we built it, what it delivers, and where it fits in a professional environment.
Why we built it
Python is the working language of modern business software: it powers internal APIs, connects systems that were never designed to talk to each other, processes data, generates reports and serves entire products. Yet operating Python in production has never matched the convenience of traditional web hosting. Organizations end up with a split estate — websites managed cleanly on a panel, while Python services accumulate on separately rented platforms, on unmanaged virtual machines, or on ad-hoc processes that only one engineer knows how to restart.
That split carries real costs: per-service platform fees, another vendor relationship, another deployment pipeline, and production processes running outside your standard operational controls. Panelica's Python Application Hosting removes the split. The server you already operate — with its existing security posture, resource governance and backup regime — becomes the home for your Python workloads as well.
What Python Application Hosting delivers
Deployment is a single form: select a Python version, select the framework, and point the panel at your code — an archive upload, a Git repository, or a generated scaffold. The panel handles the rest of the lifecycle:
environment created
installed automatically
generated and supervised
CPU and memory limits enforced
optionally behind your domain
- Framework aware. Flask, Django and FastAPI are first-class presets, each served by the appropriate production application server, configured by the panel. Any standard WSGI or ASGI application is supported, and long-running services without a web interface run as supervised worker processes.
- Version freedom. Python 3.10 through 3.14 install on demand as self-contained runtimes and operate side by side. A legacy 3.10 integration and a new 3.14 service coexist on one server, and the operating system's own Python is never modified.
- Isolation by default. Every application receives its own dependency environment, its own supervised system service, and its own CPU and memory limits enforced at the kernel level. A defective application cannot degrade the rest of the server.
- Operational continuity. Applications are managed services with automatic start on boot and restart on failure — production behavior, not terminal sessions.
- Standardized publishing. Bind a domain or subdomain and the panel provisions the reverse proxy configuration. Internal services can remain private with no exposed ports.
- Complete day-two tooling. Live log streaming, lifecycle controls, dependency management, environment variables for credentials, and per-application resource telemetry — all from the panel, all auditable.
Where it fits
| Scenario | How Python Application Hosting is used |
|---|---|
| Internal APIs and microservices | REST services that back office applications, mobile apps or partner integrations — deployed per service, isolated per service. |
| System integration | Middleware that connects ERP, CRM, billing and warehouse systems; webhook endpoints that receive events from payment providers and SaaS platforms. |
| Data processing and reporting | Scheduled ETL jobs, data validation pipelines and report generation services that must run reliably and leave a log trail. |
| Business automation | Long-running workers that reconcile records, synchronize inventories, dispatch notifications and execute recurring business processes. |
| Customer-facing applications | Django and Flask products and portals operated behind your own domains, on your own infrastructure. |
| Agencies and service providers | Client applications deployed in minutes, each with its own environment, Python version and resource budget — with clean separation between clients. |
Engineered like the rest of Panelica
Python Application Hosting follows the same architectural principles as the rest of the platform. Applications are real system services managed by systemd, governed by cgroup v2 resource control and fronted by nginx — the same proven components that run the platform itself, not a proprietary runtime layered on top. Each application operates inside its owner's resource slice with hard per-application limits, so the isolation model that separates tenants on a shared server applies equally between applications. Runtimes are installed as prebuilt, self-contained interpreters, keeping your distribution's system Python untouched and your servers predictable.
For teams evaluating the platform, the operational model matters as much as the feature list: deployments are reproducible, services are observable, credentials stay in the environment rather than in code, and every application is subject to the same resource governance. This is Python hosting designed for organizations that are accountable for uptime.
Part of the panel developer platform. Python applications hosted on the panel pair naturally with Panelica Webhooks: the same server that runs your services can notify them in real time about account, security, backup and system events - a complete integration loop on infrastructure you control.
Availability: update your panel
Python Application Hosting ships with the current Panelica release. If your panel is up to date, the new Python section — Applications and Versions — is available in the sidebar. If you do not see it yet, apply your panel update first; it is one click from the update screen. For the recommended procedure, see One-Click Update All: the safest way to keep Panelica current.
The capability is included in Panelica. There is no separate add-on, no per-application licensing and no usage metering.
Frequently asked questions
Which Python web frameworks does Panelica support?
Flask, Django and FastAPI have first-class presets, and any standard WSGI or ASGI application is supported. Services without a web interface run as supervised worker processes.
Which Python versions are available?
Python 3.10 through 3.14, installable side by side from the panel. Each application selects its version independently.
Does the team need to configure application servers or proxies?
No. The panel provisions the correct production application server for the chosen framework and generates the reverse proxy configuration when a domain is bound. A custom start command remains available for teams with specific requirements.
How are credentials and configuration handled?
Through per-application environment variables managed in the panel — credentials reach the process environment without entering source code or repositories.
What happens after a server reboot?
Applications are managed system services: with autostart enabled they return automatically, and failed processes are restarted under supervision.
Can a single application exhaust server resources?
No. Every application carries dedicated CPU and memory limits, enforced by the kernel, inside its owner's resource allocation.
How do we obtain the feature?
Update your panel to the current release; the Python section then appears in the sidebar. Updates are applied with one click from the panel's update screen.
Consolidate your Python workloads on infrastructure you control. Python Application Hosting joins web hosting, mail, DNS, databases and Docker in a single panel. Review the full feature set, compare plans and pricing, or discuss your deployment scenarios with us on the community forum.