pyiceberg
Apache Iceberg is an open table format for huge analytic datasets
Decision gist · record as of 2026-08-14
Yes. PyIceberg is actively maintained, widely used (top 1000 PyPI packages), has no known vulnerabilities, and carries a permissive Apache license. Install friction is moderate but manageable. Choose it if you need programmatic access to Iceberg tables in Python; avoid it if your use case is read-only and a simpler tool suffices.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a configured Iceberg catalog backend (local, S3, or other storage); connection details must be provided via configuration.
- Medium install friction with 12 runtime dependencies including fsspec, pydantic, and zstandard.
- Active maintenance with recent commits; last release 164 days ago.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions; suitable for most projects.
last release 2026-03-03 (164 days) · last repo commit 2026-08-12 · 1,109 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 38,941,339 downloads/mo, #704 on PyPI
Alternatives
Verify before relying
pip install pyiceberg
from pyiceberg.catalog import load_catalog
catalog = load_catalog("default")
table = catalog.load_table("namespace.table_name")- Specific Iceberg table format versions supported by 0.11.1
- Performance characteristics for large-scale metadata operations
- Compatibility with specific Iceberg catalog implementations
What it is and what it does
PyIceberg is a Python implementation of the Apache Iceberg table specification, enabling programmatic interaction with Iceberg-formatted datasets. It abstracts the complexity of Iceberg's metadata layer, allowing developers to load, query, and manipulate table metadata and data through a Python API without needing to work directly with the underlying specification.
The package integrates with fsspec for flexible storage backend support, uses pydantic for configuration validation, and includes utilities like mmh3 for hashing and zstandard for compression. It's designed for data engineers and analysts working with large analytical datasets stored in Iceberg format, whether on local filesystems, cloud object storage, or other backends.
Use it for
- Load and inspect Iceberg table metadata programmatically from a catalog
- Read Iceberg-formatted data into Python for analysis or transformation
- Write data to Iceberg tables while maintaining format compliance
- Integrate Iceberg table operations into data pipelines and ETL workflows
- Query table schema, partitioning, and snapshot history without external tools
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
PyIceberg is actively maintained, widely used (top 1000 PyPI packages), has no known vulnerabilities, and carries a permissive Apache license. Install friction is moderate but manageable. Choose it if you need programmatic access to Iceberg tables in Python; avoid it if your use case is read-only and a simpler tool suffices.
Install
pyiceberg on PyPI
Before you install
Medium install friction with 12 runtime dependencies including fsspec, pydantic, and zstandard. Active maintenance with recent commits; last release 164 days ago. Supports Python 3.10–3.13 with pre-built wheels across multiple platforms.
Requires a configured Iceberg catalog backend (local, S3, or other storage); connection details must be provided via configuration.
License in practice
Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions; suitable for most projects.
Quickstart
pip install pyiceberg
from pyiceberg.catalog import load_catalog
catalog = load_catalog("default")
table = catalog.load_table("namespace.table_name")Verify before relying
- Specific Iceberg table format versions supported by 0.11.1
- Performance characteristics for large-scale metadata operations
- Compatibility with specific Iceberg catalog implementations
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release <4.0.0,>=3.10.0 |
| Install friction | Medium. Platform-specific wheel |
| Runtime dependencies | 12 packagesmmh3requestsclickrichstrictyamlpydanticfsspecpyparsingtenacitypyroaringcachetoolszstandard |
| Maintenance | Actively maintained 164 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 38,941,339 / month, #704 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Operating System :: OS IndependentProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13 |
Evidence: pyiceberg-0.11.1-cp310-cp310-macosx_10_9_x86_64.whl; pyiceberg-0.11.1-cp310-cp310-macosx_11_0_arm64.whl; pyiceberg-0.11.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl; pyiceberg-0.11.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl; pyiceberg-0.11.1-cp310-cp310-musllinux_1_2_aarch64.whl; pyiceberg-0.11.1-cp310-cp310-musllinux_1_2_x86_64.whl; pyiceberg-0.11.1-cp310-cp310-win_amd64.whl; pyiceberg-0.11.1-cp311-cp311-macosx_10_9_x86_64.whl; pyiceberg-0.11.1-cp311-cp311-macosx_11_0_arm64.whl; pyiceberg-0.11.1-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl; pyiceberg-0.11.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl; pyiceberg-0.11.1-cp311-cp311-musllinux_1_2_aarch64.whl; pyiceberg-0.11.1-cp311-cp311-musllinux_1_2_x86_64.whl; pyiceberg-0.11.1-cp311-cp311-win_amd64.whl; pyiceberg-0.11.1-cp312-cp312-macosx_10_13_x86_64.whl; pyiceberg-0.11.1-cp312-cp312-macosx_11_0_arm64.whl; pyiceberg-0.11.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl; pyiceberg-0.11.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl; pyiceberg-0.11.1-cp312-cp312-musllinux_1_2_aarch64.whl; pyiceberg-0.11.1-cp312-cp312-musllinux_1_2_x86_64.whl
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See also pyiceberg-core · apache-airflow-providers-apache-iceberg · pyarrow · adbc-driver-snowflake · unitycatalog-client · gremlinpython · aws-cdk.aws-s3tables-alpha · sdmx1 · google-cloud-bigquery-biglake · apache-superset