Skip to main content

Iroh Python

This is the Iroh Python API!

The API was generated using uniffi-rs.

All iroh classes, methods, functions, and enums contain docstrings.

The current best way to understand how the iroh python API can be used is to check out our example or tests.

We currently ship binary wheels on pypi for:

  • amd64 win
  • x86_64 manylinux 2_28
  • aarch64 manylinux 2_28
  • arm64 macosx

Notes on how the wheels are built and tested are in our FFI development docs.

Metadata

Release files for iroh 1.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for iroh 1.2.0
File Actions
iroh-1.2.0-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details for iroh-1.2.0-py3-none-win_amd64.whl
iroh-1.2.0-py3-none-manylinux_2_28_x86_64.whl Python 3 none Linux glibc 2.28+ x86-64 Details for iroh-1.2.0-py3-none-manylinux_2_28_x86_64.whl
iroh-1.2.0-py3-none-manylinux_2_28_aarch64.whl Python 3 none Linux glibc 2.28+ ARM64 Details for iroh-1.2.0-py3-none-manylinux_2_28_aarch64.whl
iroh-1.2.0-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details for iroh-1.2.0-py3-none-macosx_11_0_arm64.whl

Total release size: 25.9 MB

Release files / iroh-1.2.0-py3-none-win_amd64.whl

Download URL iroh-1.2.0-py3-none-win_amd64.whl
Size 6.0 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
1eedafeb906f57d4252b69379673b039894e28a35bbb9b54ddfdcae83411cfa5
BLAKE2b-256 checksum
How to use checksums
e2c0f0fe409eee4b0afaee56ae9a8cb6a15d2f4d443d1e12ef5529141a7b0a62
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.

Transparency log

Release files / iroh-1.2.0-py3-none-manylinux_2_28_x86_64.whl

Download URL iroh-1.2.0-py3-none-manylinux_2_28_x86_64.whl
Size 7.2 MB
Tags Linux glibc 2.28+ x86-64 Python 3
SHA-256 checksum
How to use checksums
61222adc81745009f34ca1fed42633f6cac865c9ed35a4701eb8c0174cb8399a
BLAKE2b-256 checksum
How to use checksums
9e0915cf50f36f90e364cde73b4df392d7bb91cec412455b06226c2ec660716a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.

Transparency log

Release files / iroh-1.2.0-py3-none-manylinux_2_28_aarch64.whl

Download URL iroh-1.2.0-py3-none-manylinux_2_28_aarch64.whl
Size 7.0 MB
Tags Linux glibc 2.28+ ARM64 Python 3
SHA-256 checksum
How to use checksums
049eef820a5710093cb0cc9d645da00f69dfbf5b0ac7647741da2168b79d0c10
BLAKE2b-256 checksum
How to use checksums
615d7082a1eafa89da2ff72800344d179a89619b69f924b1a9e717784ad5b472
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.

Transparency log

Release files / iroh-1.2.0-py3-none-macosx_11_0_arm64.whl

Download URL iroh-1.2.0-py3-none-macosx_11_0_arm64.whl
Size 5.8 MB
Tags Python 3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
d7c407d9483c8e0c7680e569f906e892a19d4c13af537ba9127f7de130c0d399
BLAKE2b-256 checksum
How to use checksums
eb47562411d054f7b15e8aaca8fd965c42e8d61acae0c58773c3a2d0266a03ef
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.

Transparency log

Security for iroh 1.2.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 4 files in this release have been uploaded with provenance metadata.

Select from 4 files

Attestation for iroh-1.2.0-py3-none-win_amd64.whl

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 22, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

1.2.0 This release

4 release files Full provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page