# apache/iceberg-python

PyIceberg

Repository: https://github.com/apache/iceberg-python
Canonical: https://ross.abutalabs.com/products/iceberg-python
Homepage: https://py.iceberg.apache.org/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: apache, hacktoberfest, iceberg, pyiceberg
Last push: 2026-09-02T18:31:22+00:00

## Health v2 (maintenance only)
Score: 92/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 88, longevity 79
- inputs: {"age_days": 1118, "days_push": 0, "days_rel": 1, "gap_med": 90, "n_releases_24m": 8}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1124, forks 572 (observed 2026-09-03T02:15:09.186535+00:00)

## What it is
PyIceberg is a Python implementation of the Apache Iceberg table format specification, providing programmatic access to Iceberg table metadata and data without requiring a JVM. It supports multiple catalogs (Hive, AWS Glue, REST, SQL) and file IO backends (S3, GCS, ADLS) with integrations for PyArrow, Pandas, DuckDB, Ray, Polars, and other engines.

## Use cases
- read and write Apache Iceberg tables from Python without a JVM
- query Iceberg tables with pandas, DuckDB, or Polars
- manage Iceberg table metadata and catalogs programmatically
- connect to AWS Glue, Hive, or REST catalogs for lakehouse tables
- load Iceberg table data from S3, GCS, or Azure object stores
- append or overwrite data files in an Iceberg table

## When to choose
- you work with Iceberg lakehouse tables in a Python data stack
- you want JVM-free access to Iceberg tables
- you need to integrate Iceberg with PyArrow, DuckDB, Ray, or Polars

## When to avoid
- you need a full distributed query engine rather than table access
- your tables use a format other than Iceberg (e.g. Delta Lake or Hudi)
- you require features of the Java Iceberg runtime not yet implemented in Python

## Facets
- artifact type: library
- maturity: active
- function: database, data-science, etl
- domain: databases, big-data, analytics
- platform: python, cross-platform
- tags: apache-iceberg, table-format, lakehouse, pyarrow, object-storage, catalog, data-engineering

## Member repositories
- apache/iceberg-python (main) score 92

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:09.186535+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 2026-08-30T06:39:22.916038+00:00, confidence not recorded.
  - readme: https://github.com/apache/iceberg-python (fetched 2026-09-03T02:15:09.186535+00:00, sha cd4f637c0d2a)
  - homepage: https://py.iceberg.apache.org/ (fetched 2026-08-29T12:44:03.739727+00:00, sha 774b7576c347)
  - site_page: https://py.iceberg.apache.org/verify-release (fetched 2026-08-29T12:44:03.743566+00:00, sha 60a8b1cd4a97)
- Data as of 2026-08-30T08:39:29.467469+00:00.