hgraph

v0.3.34

A functional reactive platform used to process time-series streams. Provides support for backtest (simulation) and realtime time-series processing. Using a forward propagation graph with a microtask scheduler for the runtime engine. For more information about how to use this package see README

Latest version published 17 hours ago

License: MIT

PyPI

GitHub

Package Health Score

69 / 100

security
No known security issues
popularity
Small
maintenance
Healthy
community
Limited

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Popularity

Small

GitHub Stars: 13
Forks: 7
Contributors: 7

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package hgraph, we found that it has been starred 13 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 22, 2024
Direct Vulnerabilities: 0
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0
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0
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0
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Indirect Vulnerabilities: 0
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0
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0
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0
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License Risk: 0
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0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 0
Open PR: 1
Last Release: 17 hours ago
Last Commit: 13 days ago

Further analysis of the maintenance status of hgraph based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that hgraph demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 7
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like hgraph is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.11

Age: 12 months
Latest Release: 17 hours ago
Dependencies: 3 Direct
Versions: 118
Maintainers: 1
Wheels: OS Independent

Readme

hgraph

A functional reactive programming engine with a Python front-end.

This provides a DSL and runtime to support the computation of results over time, featuring a graph based directed acyclic dependency graph and the concept of time-series properties. The language is function-based, and promotes composition to extend behaviour.

Here is a simple example:

from hgraph import graph, run_graph, const
from hgraph.nodes import debug_print

@graph
def main():
    a = const(1)
    c = a + 2
    debug_print("a + 2", c)

run_graph(main)

Results in:

[1970-01-01 00:00:00.000385][1970-01-01 00:00:00.000001] a + 2: 3

See this for more information.

Development

The project is currently configured to make use of Poetry for dependency management. Take a look at the website to see how best to install the tool.

Here are some useful commands:

First, this will cause the virtual environment to be installed in the same folder as the project (in .venv folder)

poetry config virtualenvs.in-project true

Use this command to set the version of Python to make use of if you want a specific version of Python.

poetry env use 3.11

Then use the following command to install the project and its dependencies. Note that the --with docs installs the dependencies to build the documentation set which is not required otherwise, also the --all-extras is only required for the adaptors.

poetry install --with docs --all-extras

If you did not use the first command, you can find the location of the installation using:

poetry env info

PyCharm can make use of poetry to setup the project.

Run Tests

# No Coverage
poetry run pytest

# Generate Coverage Report
poetry run pytest --cov=your_package_name --cov-report=xml

hgraph dependencies

duckdb multimethod sqlalchemy

FAQs

What is hgraph?

A functional reactive platform used to process time-series streams. Provides support for backtest (simulation) and real... Visit Snyk Advisor to see a full health score report for hgraph, including popularity, security, maintenance & community analysis.

Is hgraph popular?

The python package hgraph receives a total of 4,102 weekly downloads. As such, hgraph popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is hgraph well maintained?

We found that hgraph demonstrated a healthy version release cadence and project activity. It has a community of 7 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is hgraph safe to use?

The python package hgraph was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 22 November-2024, at 20:25 (UTC).

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Readme

hgraph

Development

Run Tests

hgraph dependencies

FAQs

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Is hgraph popular?

Is hgraph well maintained?

Is hgraph safe to use?

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Source Code

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