Reliable Python instances by Rectost

Run your Python jobs 24/7.

Host Python bots, schedulers and web services in isolated containers with automatic restarts and resource limits.

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Multiple Python versions
Fast and reliable
Flexible

Instance

Python • Automation worker

py01.rectost.com

Running hn21 • eu-west-2

Status OK

CPU 9%

RAM 384 / 1024 MB

Tasks 5 active

Your Python jobs, always on.

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Made for your project

Perfect for scraping, data pipelines, Discord bots, well... anything you can do with Python.

Scalable

Upgrade RAM, CPU and storage instantly as your project grows.

Always on

Your Python jobs, always on, because you need them to be.

Why run Python on Rectost?

Reliable infrastructure for scripts and services that must never stop.

rectost_worker.py

# Example: Telegram weather bot running 24/7 on Rectost
import asyncio
from datetime import datetime
import aiohttp
from aiogram import Bot, Dispatcher, types

API_TOKEN = "your:token-here"
OPENWEATHER_API = "your-openweather-key"

bot = Bot(token=API_TOKEN)
dp = Dispatcher()

@dp.message()
async def echo(message: types.Message):
text = message.text.lower().strip()
if "weather" in text:
city = text.replace("weather","").strip()
data = await get_weather(city)
await message.answer(
f"🌤️ {city.title()}: {data['temp']}°C\n"
f"Condition: {data['desc']}"
)
else:
await message.answer("Type 'weather Paris' for example ☀️")

async def get_weather(city: str) -> dict:
url = f"https://api.openweathermap.org/data/2.5/weather?q={city}&appid={OPENWEATHER_API}&units=metric"
async with aiohttp.ClientSession() as session:
async with session.get(url) as resp:
if resp.status != 200:
return {"temp": "?", "desc": "city not found"}
data = await resp.json()
return {
"temp": data["main"]["temp"],
"desc": data["weather"][0]["description"]
}

# Keep alive forever
async def main():
await dp.start_polling(bot)

if __name__ == "__main__":
asyncio.run(main())

Python 3.11 • 87 lines • 2.4 kB

UTF-8 • LF • Prettier

Bring your own libraries

Install dependencies and keep your environment reproducible.

Works with good performance

Because your idea need the best hosting quality.

Multiple Python versions

Match your runtime to the project’s requirements.

Running in containers

Each instance runs in its own container to ensure isolation.

Low latency

Optimized locations for your project.

Ideal for bots, scrapers and workers