5
AI
How do you choose between Python and TypeScript for an LLM backend?
ML ecosystem ↔ Full-stack consistency
Context
Our product team is all TypeScript (Next.js + Node). We're adding LLM features: RAG over customer documents, tool-calling agents, evals.
Python has the ML ecosystem (embeddings, evaluation, notebooks). TypeScript keeps one language across the stack. Most of our work is orchestration — API calls, streaming, tool use — not model training.
PythonvsTypeScript
Community verdict
Python 50%TypeScript 50%
10 engineers · 2 opinions
With these constraints, what would you choose?
One choice per engineer. You can change it any time.
Python
TypeScript
Full-stack reuse →
Trade-offs
Dimensions
PythonTypeScriptout of 5
- ML ecosystem
- 5Python scores 5 of 53TypeScript scores 3 of 5
- Full-stack reuse
- 2Python scores 2 of 55TypeScript scores 5 of 5
- Async I/O
- 3Python scores 3 of 5
Community discussion
2 comments
Have you made this decision in production? Share your reasoning.
Sign in to commentDocument parsing (PDFs, tables, OCR) is where Python still wins clearly. If RAG quality depends on ingestion, that pipeline belongs in Python.
If you are orchestrating hosted models, it is mostly HTTP and streaming, and TypeScript handles that well. Keep a small Python service for evals and data work where notebooks matter.