View covalent on Snyk Open Source Advisor

Package Health Score

75 / 100

security
No known security issues
popularity
Recognized
maintenance
Inactive
community
Active

Popularity

Recognized

GitHub Stars: 788
Forks: 97
Contributors: 50

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package covalent, we found that it has been starred 788 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jan 23, 2024
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

Apache-2.0

Security Policy

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

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Maintenance

Inactive

Commit Frequency

Open Issues: 66
Open PR: 20
Last Release: 11 months ago
Last Commit: 4 months ago

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

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

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 50
Funding: No

With more than 10 contributors for the covalent 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: 2 years
Latest Release: 7 months ago
Dependencies: N/A
Versions: 129
Maintainers: 0
Wheels: No

Readme

Run AI, ML, and Scientific Research Code on Any Cloud or On-Prem Cluster with a Single Line

pip install covalent --upgrade

Check our Quick Start Guide for setup instructions or dive into your First Experiment. Learn more on the Concepts.

What is Covalent?

Covalent is a Python library for AI/ML engineers, developers, and researchers. It provides a straightforward approach to running compute jobs, like LLMs, generative AI, and scientific research, on various cloud platforms or on-prem clusters.

Run Code Anywhere: Execute Python functions in any cloud or on-prem cluster by changing just a single line of code.

It is as simple as swapping the decorator with our executor plugins. Choose from existing plugins or create custom ones for tailored interactions with any infrastructure.

Abstraction of Infrastructure Management: Abstract the complexities of cloud consoles, terraform, or IaC in the background.

Serverless Infrastructure: Automatically converts any infrastructure, including on-prem SLURM clusters or cloud compute, into a serverless setup.

If you find Covalent useful or interesting, feel free to give us a ⭐ on GitHub! Your support helps us to continue developing and improving this framework.

For AI/ML Practitioners and Developers

For Researchers

Robust Compute Backend: Ideal as a backend compute framework for AI/ML applications, Large Language Models (LLMs), Generative AI, and more.
Cloud-Agnostic Execution: Execute high-compute tasks seamlessly across different cloud environments.
Infrastructure Abstraction: Directly use computing resources while keeping your business code independent from the infrastructure/resource definitions.

Local-Like Access: Effortlessly connect to compute resources from your laptop, eliminating the need for SSH or complex scripts.
Unified Interface Across Environments: Consistent experience with on-prem HPC clusters and cloud platforms like SLURM, PBS, LSF, AWS, GCP, Azure.
Real-Time Monitoring Monitoring: User-friendly UI for real-time monitoring, enabling cost-effective and iterative R&D.

Out-of-box observability - Try out the demo

If you find Covalent useful or interesting, feel free to give us a ⭐ on GitHub! Your support helps us to continue developing and improving this framework.

Explore Covalent Through Examples

Jump right into practical examples to see Covalent in action. These tutorials cover a range of applications, giving you a hands-on experience:

Explore Our Extensive Plugin Ecosystem

Covalent integrates seamlessly with a variety of platforms. Discover our range of plugins to enhance your Covalent experience:

Key Features at a Glance

Get a quick overview of what Covalent offers. Our infographic summarizes the main features, providing you with a snapshot of our capabilities:

Know More About Covalent

For a more in-depth description of Covalent's features and how they work, see the Concepts page in the documentation.

Installation

Covalent is developed using Python on Linux and macOS. The easiest way to install Covalent is by using the PyPI package manager.

pip install covalent --upgrade

For other methods of installation, please check the docs.

Deployments

Covalent offers flexible deployment options, from Docker image/AMIs for self-hosting to pip package for local installations, accommodating various use cases

Contributing

To contribute to Covalent, refer to the Contribution Guidelines. We use GitHub's issue tracking to manage known issues, bugs, and pull requests. Get started by forking the develop branch and submitting a pull request with your contributions. Improvements to the documentation, including tutorials and how-to guides, are also welcome from the community. For more information on adding tutorials, check the Tutorial Guidelines. Participation in the Covalent community is governed by the Code of Conduct.

Citation

Please use the following citation in any publications.

https://doi.org/10.5281/zenodo.5903364

License

Covalent is licensed under the Apache 2.0 License. See the LICENSE file or contact the support team for more details.

For a detailed history of changes and new features, see the Changelog.

FAQs

What is covalent?

Covalent Workflow Tool. Visit Snyk Advisor to see a full health score report for covalent, including popularity, security, maintenance & community analysis.

Is covalent popular?

The python package covalent receives a total of 2,322 weekly downloads. As such, covalent popularity was classified as a recognized. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is covalent well maintained?

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

Is covalent safe to use?

The python package covalent 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 25 December-2024, at 03:43 (UTC).

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Package Health Score

Popularity

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

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Package

Readme

What is Covalent?

Out-of-box observability - Try out the demo

Explore Covalent Through Examples

Explore Our Extensive Plugin Ecosystem

Key Features at a Glance

Know More About Covalent

Installation

Contributing

Citation

License

FAQs

What is covalent?

Is covalent popular?

Is covalent well maintained?

Is covalent safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Readme

What is Covalent?

Out-of-box observability - Try out the demo

Explore Covalent Through Examples

Explore Our Extensive Plugin Ecosystem

Key Features at a Glance

Know More About Covalent

Installation

Contributing

Citation

License

FAQs

What is covalent?

Is covalent popular?

Is covalent well maintained?

Is covalent safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues