Package Health Score

48 / 100

security
No known security issues
popularity
Limited
maintenance
Inactive
community
Sustainable

Popularity

Limited

GitHub Stars: 89
Forks: 13
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package redisai, we found that it has been starred 89 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Feb 5, 2023
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

BSD-3-Clause

Security Policy

We found a way for you to contribute to the project! Looks like redisai is missing a security policy.

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Maintenance

Inactive

Commit Frequency

No Recent Commits

Open Issues: 11
Open PR: 2
Last Release: 2 years ago
Last Commit: 2 years ago

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

An important project maintenance signal to consider for redisai is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 20
Funding: No

With more than 10 contributors for the redisai repository, this is possibly a sign for a growing and inviting community.

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

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Package

Python Versions Compatibility: >=3.8,<=4.0.0

Age: 6 years
Latest Release: 2 years ago
Dependencies: 6 Direct
Versions: 13
Maintainers: 1
Wheels: OS Independent

Not sure how to use redisai?

To help you get started, we've collected the most common ways that redisai is being used within popular public projects.

RedisAI / redisai-py / test / test_model.py View on Github

def testPyTorchGraph(self):
        torch_graph = MyModule()
        path = f'{time.time()}.pt'
        save_model(torch_graph, path)
        model = load_model(path)
        os.remove(path)
        con = self.get_client()
        con.modelset('ptmodel', Backend.torch, Device.cpu, model)
        con.tensorset('a', Tensor.scalar(DType.float, 2, 5))
        con.tensorset('b', Tensor.scalar(DType.float, 3, 7))
        con.modelrun('ptmodel', ['a', 'b'], 'c')
        tensor = con.tensorget('c')
        self.assertEqual([5, 12], tensor.value)

View more ways to use redisai

redisai-py

redisai-py is the Python client for RedisAI. Checkout the documentation for API details and examples

Installation

Install Redis 5.0 or above
Install RedisAI
Install the Python client

$ pip install redisai

Install serialization-deserialization utility (optional)

$ pip install ml2rt

Development

Assuming you have virtualenv installed, create a virtualenv to manage your python dependencies, and activate it. `virtualenv -v venv; source venv/bin/activate`
Install [pypoetry]() to manage your dependencies. `pip install poetry`
Install dependencies. `poetry install --no-root`

[tox]() runs all tests as its default target. Running tox by itself will run unit tests. Ensure you have a running redis, with the module loaded.

Contributing

Prior to submitting a pull request, please ensure you've built and installed poetry as above. Then:

Run the linter. `tox -e linters.`
Run the unit tests. This assumes you have a redis server running, with the [RedisAI module]() already loaded. If you don't, you may want to install a [docker build](). `tox -e tests`

RedisAI example repo shows few examples made using redisai-py under python_client folder. Also, checkout ml2rt for convenient functions those might help in converting models (sparkml, sklearn, xgboost to ONNX), serializing models to disk, loading it back to redisai-py etc.

redisai dependencies

deprecated hiredis numpy pytest redis six

FAQs

What is redisai?

RedisAI Python Client. Visit Snyk Advisor to see a full health score report for redisai, including popularity, security, maintenance & community analysis.

Is redisai popular?

The python package redisai receives a total of 457 weekly downloads. As such, redisai popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is redisai well maintained?

We found indications that redisai is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is redisai safe to use?

The python package redisai 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 21 November-2024, at 22:17 (UTC).

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redisai

RedisAI Python Client For more information about how to use this package see README

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redisai-py

Installation

Development

redisai dependencies

FAQs

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Is redisai safe to use?

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redisai-py

Installation

Development

redisai dependencies

FAQs

What is redisai?

Is redisai popular?

Is redisai well maintained?

Is redisai safe to use?

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Source Code

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