hgraph

A clean-slate, C++-first implementation of the hgraph functional-reactive time-series runtime. The C++ runtime is the source of truth. Python provides wiring compatibility and supports Python-authored nodes running inside that runtime.

Python package

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

python -m pip install hgraph

The distribution exposes the hgraph import package and the native _hgraph extension. Version 0.8.0 replaces the Python-first runtime maintained on the release/0.5 branch. 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.

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, then the Python authoring track (python/: quick start, tutorial, programming model) or the C++ one (cpp/: authoring nodes, graphs, and the eval_node harness).
  • 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.

Project links

Data verified by PyPI on Aug 10, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.8.22)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for hhenson from gravatar.com hhenson

Credits

Author: Howard Henson

GitHub Statistics

Data verified by PyPI on Aug 10, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License (MIT)

Requires

Python >=3.12

Provides Extra

python test parity web sql snowflake delta perspective dataframe docs dev

Tags

reactive graph forward propagating graph time series functional reactive programming c++

Classifiers

Report project as malware

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