Skip to main content

hgraph

HGraph is a functional-reactive time-series engine with a Python-first user experience and a native C++ runtime. Most users author and test graphs with the hgraph Python package; library authors can use the C++ API directly when they need native integration or maximum performance. Both paths wire and execute through the same runtime.

Python package

The C++-backed runtime is published under the hgraph distribution name:

python -m pip install hgraph

The distribution exposes the supported hgraph authoring package and its private native _hgraph extension. The 0.8 line replaces the Python runtime maintained on the release/0.5 branch while retaining Python as the primary public API. One wheel per supported platform covers CPython 3.12 and later through the CPython stable ABI. The supported Python and platform policy is recorded in docs/source/developer_guide/release_readiness.rst.

Start with docs/source/getting_started.rst and use docs/source/reference/ for the supported Python types, decorators, operators and modules.

Build & test

cmake -S . -B build                 # configure (fmt + Catch2 fetched if absent)
cmake --build build -j              # build hgraph_core + tests
ctest --test-dir build --output-on-failure

Requires a C++23 compiler and CMake >= 3.25. Python/nanobind are not needed for the default build (bindings are opt-in via -DHGRAPH_BUILD_PYTHON_BINDINGS=ON).

First-party extensions

First-party extensions are co-developed in extensions/ but remain separate native and Python distributions. Kafka is built in-tree for development with -DHGRAPH_BUILD_KAFKA_EXTENSION=ON, or independently from extensions/kafka/ against an installed hgraph SDK. Its wheel is selected from the uv workspace after making that matching SDK discoverable:

CMAKE_PREFIX_PATH=/path/to/hgraph/sdk \
  uv build --wheel --package hgraph-kafka --python 3.12

The core build does not enable the extension by default and does not acquire a Kafka or librdkafka dependency.

Documentation

Sphinx docs live under docs/source (uv sync --extra docs, then uv run sphinx-build -W -b html docs/source docs/_build/html):

  • Getting started — docs/source/getting_started.rst: install the wheel and run a first graph in Python.
  • User guide — docs/source/user_guide/: the concepts the runtime implements and the primary Python authoring track (python/: quick start, common tasks, tutorial, programming model). Native C++ authoring is an advanced section for library authors.
  • Python API reference — docs/source/reference/: curated reference pages plus a generated inventory of wildcard exports, lazy operators and public submodules.
  • Specification — docs/source/specification/: a language-neutral definition of HGraph semantics.
  • Developer guide — the authoritative design records (docs/source/developer_guide/): architecture, data structures, wiring, nested graphs, mesh, services, error handling, operators, roadmap.

The narrative documentation's Python examples are executable. They are checked against a real runtime by sphinx-build -b doctest, which needs an importable hgraph; CI runs both that and the warning-free HTML build.

Contributing / AI sessions

  • AGENTS.md — canonical project direction: goals, build philosophy, source layout, dependency policy, git hygiene.
  • CLAUDE.md — the operational working guide: the enforced design-first workflow (docs change in the same commit as code), guardrails, architecture map, and current state.
  • plugins/hgraph-development/ — installable hgraph development skills for downstream Codex and Claude projects.

Shared language sources

Run python3 tools/shared_artifacts.py before compiler, documentation or contract-test work. See shared source setup.

Metadata

Release files for hgraph 0.8.33

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

Source distribution (sdist)

Source distribution for hgraph 0.8.33
File Size Uploaded Provenance
hgraph-0.8.33.tar.gz 10.7 MB With provenance Details

Built distributions (wheels)

Table of built distributions (wheels) for hgraph 0.8.33
File Interpreter ABI Platform
hgraph-0.8.33-cp312-abi3-win_amd64.whl CPython 3.12 abi3 Windows x86-64 Details
hgraph-0.8.33-cp312-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl CPython 3.12 abi3 Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64 Details
hgraph-0.8.33-cp312-abi3-macosx_26_0_arm64.whl CPython 3.12 abi3 macOS 26.0+ ARM64 Details

Total release size: 53.4 MB

Release files / hgraph-0.8.33.tar.gz

Download URL hgraph-0.8.33.tar.gz
Size 10.7 MB
Tags Source
SHA-256 checksum
How to use checksums
6fa559fd246071882349a0261017e9e6ab4af10bb32a5d6e67381ca8dfeea610
BLAKE2b-256 checksum
How to use checksums
1611ff011c845c1f0a77e2a379a85b2a5af90d52d077b4e2228374ff8f2e100a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 10, 2026.

Transparency log

Release files / hgraph-0.8.33-cp312-abi3-win_amd64.whl

Download URL hgraph-0.8.33-cp312-abi3-win_amd64.whl
Size 18.8 MB
Tags CPython 3.12 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
0b91e2d5db534c7b09b68c0045c62eada66942e52a44e13c403f80df17daa3ee
BLAKE2b-256 checksum
How to use checksums
9e6397d6b3a6802fdc78b40bf09a9e996fa62b121854fcb5a05912a7e696b582
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 10, 2026.

Transparency log

Release files / hgraph-0.8.33-cp312-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL hgraph-0.8.33-cp312-abi3-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size 11.7 MB
Tags CPython 3.12 Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64 abi3
SHA-256 checksum
How to use checksums
50c9f2c1c7e911ee2f47a48fcbaf17f1e8070aac6d8f68b2543f24844742a28a
BLAKE2b-256 checksum
How to use checksums
317056cf7eff453b6f7f00fef0aca290d431c08622d3733846d225d484bb72fe
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 10, 2026.

Transparency log

Release files / hgraph-0.8.33-cp312-abi3-macosx_26_0_arm64.whl

Download URL hgraph-0.8.33-cp312-abi3-macosx_26_0_arm64.whl
Size 12.2 MB
Tags CPython 3.12 abi3 macOS 26.0+ ARM64
SHA-256 checksum
How to use checksums
5d57f0d76f29323ff582cfd9d0ee325b314a164a67f513759e37821da0762976
BLAKE2b-256 checksum
How to use checksums
db2aa3df2913d8274be5bfc80076c2e101dd99c30b70fc2ee032c42a21f6e83c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 10, 2026.

Transparency log

Security for hgraph 0.8.33

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 hgraph-0.8.33.tar.gz

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 10, 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.

Release history Release notifications | RSS feed

This release

0.8.33 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