Chile INE Python SDK (chile_ine_sdk)
A modern, type-safe, synchronous and asynchronous Python SDK for interacting with the web APIs of the Chilean National Institute of Statistics (INE - Instituto Nacional de Estadísticas).
This unified SDK provides access to both INE API services:
- Classifiers API (
rapps.ine.cl): Machine Learning classification models for CIUO (Occupations) and CAENES (Economic Activities). - SIMEL API (
simel.gob.cl): Labor Market Information System statistics, indicators, dimensions, and time series data.
Features
- ⚡ Sync & Async Support: Seamless HTTP execution powered by
httpx. - 🔒 Strong Type Safety: Full Pydantic v2 schemas and strict MyPy typing.
- 🔁 Automatic Retries: Built-in exponential backoff for resilient API calls.
- 📊 DataFrame Support: Export statistical series directly to Pandas or Polars.
- 🌐 Multilingual Docs: Complete English documentation with Spanish translation support.
Installation
pip install chile-ine-sdk
Optional DataFrame support:
pip install "chile-ine-sdk[dataframe]"
Quickstart
from chile_ine_sdk import INEClient
# Initialize unified INE client
client = INEClient()
# 1. CIUO / CAENES Classification
prediction = client.classifiers.predict(
text="uber manejar pasajeros",
classification="ciuo",
digits=1
)
print("Classification:", prediction)
# 2. SIMEL Labor Market Indicators
indicators = client.simel.list_indicators()
print("Available Indicators:", len(indicators))
Documentation
For full documentation, tutorials, and API reference, visit https://ezer-mackenzie.github.io/chile-ine-sdk/.
License
Distributed under the MIT License.
1 maintainer
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