Python — bots, parsers and analytics.
A language for automation, data processing and Django backends. We use it for bots, parsers, integrations and services where working with data matters.
When we use it,
and when we don’t.
Python is great for data and automation, while for interfaces and SEO-driven sites Nuxt or Next.js work better.
When it fits
- Telegram bots with logic
- Parsers and data import
- Analytics and automatic reports
- A Django backend with an admin panel
When it doesn’t
- A content site with SEO — Nuxt
- Complex interfaces in the browser — React or Vue
- A store without custom logic — Shopify
What your business gets.
- BotsScripts that talk to clients and process requests.
- Parsing and importCollecting and cleaning data from different sources.
- AI integrationsConnecting language models to your processes.
- DjangoA backend with a ready admin panel and ORM.
- Fast prototypesWe test the idea in a few days and only then invest in full development.
- Working with dataAnalytics, reports and processing of large volumes of data — convenient, fast and reproducible.
How we adopt
Python · Django.
01
Task analysis
We discuss the goal, audience and constraints and check whether Python · Django is right for you.
02
Planning
We describe the architecture, integrations and stages — you see the plan and estimate before we start.
03
Development
We work in iterations with a demo every week, so you see progress and can request changes.
04
Launch and support
We publish, set up monitoring and stay by your side: updates, improvements, consultations.
Not sure
which stack to choose?
After a free consultation, we'll recommend an architecture for your product.
accepting projects for Q4 2026