https://github.com/louis103/analytics-api-official
Build an Analytics API using FastAPI + TimescaleDB (time series in Postgres)
https://github.com/louis103/analytics-api-official
fastapi postgresql postman postman-test python sqlalchemy sqlmodel time-series timescaledb timescaledb-python tutorial
Last synced: 3 months ago
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Build an Analytics API using FastAPI + TimescaleDB (time series in Postgres)
- Host: GitHub
- URL: https://github.com/louis103/analytics-api-official
- Owner: louis103
- License: mit
- Created: 2025-05-27T12:00:41.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2025-05-27T12:37:02.000Z (10 months ago)
- Last Synced: 2025-05-27T13:44:11.936Z (10 months ago)
- Topics: fastapi, postgresql, postman, postman-test, python, sqlalchemy, sqlmodel, time-series, timescaledb, timescaledb-python, tutorial
- Language: Jupyter Notebook
- Homepage:
- Size: 453 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Build an Analytics API using FastAPI + Time-series Postgres
Own your data pipeline!
Start by building an Analytics API service with Python, FastAPI, and Time-series Postgres with TimescaleDB
## Docker
- `docker build -t analytics-api -f Dockerfile.web .`
- `docker run analytics-api `
becomes
- `docker compose up --watch`
- `docker compose down` or `docker compose down -v` (to remove volumes)
- `docker compose run app /bin/bash` or `docker compose run app python`