# xitongsys/parquet-go

pure golang library for reading/writing parquet file

Repository: https://github.com/xitongsys/parquet-go
Canonical: https://ross.abutalabs.com/products/parquet-go
Language: Go
License: Apache-2.0
License Family: permissive
Last push: 2026-05-08T12:16:29+00:00

## Health v2 (maintenance only)
Score: 59/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 81, release rhythm 8, longevity 100
- inputs: {"age_days": 3287, "days_push": 117, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1428, forks 309 (observed 2026-08-28T04:04:41.997297+00:00)

## What it is
A pure-Go library for reading and writing Apache Parquet files, supporting nested and flat schemas with multiple encodings. It maps Go structs to Parquet types for simple, high-performance columnar data I/O.

## Use cases
- read and write parquet files in Go
- convert Go structs to parquet columnar data
- export analytics data to parquet for data lakes
- process nested parquet schemas with lists and maps
- write parquet output from ETL pipelines in Go

## When to choose
- you need a dependency-free pure Go parquet implementation
- you want to serialize Go structs directly to parquet
- you're building Go-based data pipelines that consume or produce parquet

## When to avoid
- you need bindings to the official Apache Arrow parquet C++ library
- you require the latest parquet features or encodings not yet supported
- you work primarily in Python, Java, or another language ecosystem

## Facets
- artifact type: library
- maturity: active
- function: serialization, file-system, developer-tools
- domain: big-data, files, developer-tools
- platform: go, cross-platform
- tags: parquet, columnar-format, data-lake, apache-parquet, data-engineering

## Member repositories
- xitongsys/parquet-go (main) score 59

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:41.997297+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 2026-08-30T04:37:20.317974+00:00, confidence not recorded.
  - readme: https://github.com/xitongsys/parquet-go (fetched 2026-08-28T04:04:41.997297+00:00, sha 245c3178d4e3)
- Data as of 2026-08-30T08:39:29.467469+00:00.