# toddwschneider/nyc-taxi-data

Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database

Repository: https://github.com/toddwschneider/nyc-taxi-data
Canonical: https://ross.abutalabs.com/products/nyc-taxi-data
Language: R
License: MIT
License Family: permissive
Topics: clickhouse, nyc, nyc-taxi-dataset, postgresql
Last push: 2025-08-18T17:13:46+00:00

## Health v2 (maintenance only)
Score: 49/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 37, release rhythm 35, longevity 100
- inputs: {"age_days": 3943, "days_push": 380, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2081, forks 563 (observed 2026-08-28T04:06:11.671972+00:00)

## What it is
A collection of R and shell scripts to download, process, and import 3+ billion NYC taxi and for-hire vehicle (Uber, Lyft) trip records into PostgreSQL or ClickHouse. It handles the TLC's Parquet data format and includes schema setup for analysis.

## Use cases
- import nyc taxi trip data into postgres
- load uber and lyft trip records into clickhouse
- analyze billions of taxi trips
- build a taxi dataset for sql practice
- convert tlc parquet files for database import
- reproduce nyc taxi data analysis

## When to choose
- you want the full NYC TLC taxi/FHV trip history in your own PostgreSQL or ClickHouse database
- you need a large real-world dataset for SQL or analytics experimentation

## When to avoid
- you need real-time taxi data feeds
- you want a prebuilt hosted dataset rather than running your own import pipeline
- you rely on the old TLC CSV files, which are no longer supported

## Facets
- artifact type: dataset
- maturity: active
- function: etl, database, data-science, analytics
- domain: big-data, analytics
- platform: cli
- tags: nyc-taxi, parquet, uber, lyft, trip-data, r-scripts, shell-scripts, open-data, data-engineering, transportation, postgresql, clickhouse, macos, linux

## Member repositories
- toddwschneider/nyc-taxi-data (main) score 49

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:11.671972+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:56:01.464323+00:00, confidence not recorded.
  - readme: https://github.com/toddwschneider/nyc-taxi-data (fetched 2026-08-28T04:06:11.671972+00:00, sha 170d83c6bc59)
- Data as of 2026-08-30T08:39:29.467469+00:00.