Package Health Score

75 / 100

security
No known security issues
popularity
Popular
maintenance
Inactive
community
Active

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Popularity

Popular

GitHub Stars: 928
Forks: 64
Contributors: 40

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package jaxopt, we found that it has been starred 928 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jan 10, 2024
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

Apache-2.0

Security Policy

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Maintenance

Inactive

Commit Frequency

Open Issues: 115
Open PR: 22
Last Release: 10 months ago
Last Commit: 2 months ago

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

We found that jaxopt demonstrates a positive version release cadence with at least one new version released in the past 12 months.

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

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 40
Funding: No

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

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Package

Python Versions Compatibility: ==3.10.*, ==3.8.*, ==3.9.*

Age: 3 years
Latest Release: 10 months ago
Dependencies: 4 Direct
Versions: 17
Maintainers: 1
Wheels: OS Independent

Readme

JAXopt

Installation | Documentation | Examples | Cite us

Hardware accelerated, batchable and differentiable optimizers in JAX.

Hardware accelerated: our implementations run on GPU and TPU, in addition to CPU.
Batchable: multiple instances of the same optimization problem can be automatically vectorized using JAX's vmap.
Differentiable: optimization problem solutions can be differentiated with respect to their inputs either implicitly or via autodiff of unrolled algorithm iterations.

Installation

To install the latest release of JAXopt, use the following command:

$ pip install jaxopt

To install the development version, use the following command instead:

$ pip install git+https://github.com/google/jaxopt

Alternatively, it can be installed from sources with the following command:

$ python setup.py install

Cite us

Our implicit differentiation framework is described in this paper. To cite it:

@article{jaxopt_implicit_diff,
  title={Efficient and Modular Implicit Differentiation},
  author={Blondel, Mathieu and Berthet, Quentin and Cuturi, Marco and Frostig, Roy 
    and Hoyer, Stephan and Llinares-L{\'o}pez, Felipe and Pedregosa, Fabian 
    and Vert, Jean-Philippe},
  journal={arXiv preprint arXiv:2105.15183},
  year={2021}
}

Disclaimer

JAXopt is an open source project maintained by a dedicated team in Google Research, but is not an official Google product.

jaxopt dependencies

jax jaxlib numpy scipy

FAQs

What is jaxopt?

Hardware accelerated, batchable and differentiable optimizers in JAX. Visit Snyk Advisor to see a full health score report for jaxopt, including popularity, security, maintenance & community analysis.

Is jaxopt popular?

The python package jaxopt receives a total of 23,502 weekly downloads. As such, jaxopt popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is jaxopt well maintained?

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

Is jaxopt safe to use?

The python package jaxopt 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 11 November-2024, at 01:37 (UTC).

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jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX. For more information about how to use this package see README

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JAXopt

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Readme

JAXopt

Installation

Cite us

Disclaimer

jaxopt dependencies

FAQs

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Is jaxopt popular?

Is jaxopt well maintained?

Is jaxopt safe to use?

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