Python
We use Python for data pipelines, automation, and backends when it’s the best tool for the job. From Django and FastAPI to scripts and ML integrations, Python helps us deliver quickly and reliably.
Python is our go-to for backend services that need rapid development, strong libraries, or integration with data/ML tooling. Django gives us a full-stack framework with an ORM, admin, and auth out of the box—ideal for content-heavy sites or internal tools. FastAPI is our choice for high-performance APIs with automatic OpenAPI docs and async support.
We also use Python for scripts, data processing, and automation: ETL jobs, report generation, and glue code between systems. If your project involves data science or ML models, we can integrate Python services with your main app (e.g. Node or Next.js) via APIs or serverless functions.
- •Django and FastAPI backends
- •Scripts and automation
- •Data processing and APIs
- •Integration with other stacks
Where Python fits
Python backs many of our API and internal tool projects. We use it when we need a rich ecosystem (Django, FastAPI, pandas, etc.), when the client's team already knows Python, or when we're connecting to data pipelines or ML models. It coexists easily with Node.js or Next.js—we'll pick the right tool per service.
- •Django for full-featured web apps and admin tools
- •FastAPI for fast, documented APIs
- •Scripts and cron jobs for data and automation
- •Integration with data science and ML stacks