Package Health Score

72 / 100

security
No known security issues
popularity
Small
maintenance
Sustainable
community
Sustainable

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Popularity

Small

GitHub Stars: 44
Forks: 8
Contributors: 8

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package pixano, we found that it has been starred 44 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jun 19, 2024
Direct Vulnerabilities: 0
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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

Unrecognized

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 24
Open PR: 3
Last Release: 5 months ago
Last Commit: 23 days ago

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

We found that pixano 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

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 8
Funding: No

This project has seen only 10 or less contributors.

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Package

Python Versions Compatibility: ~=3.10

Age: 2 years
Latest Release: 14 days ago
Dependencies: 0 Direct
Versions: 23
Maintainers: 1
Wheels: OS Independent

Readme

Data-centric AI building blocks for computer vision applications

Under active development, subject to API change

Pixano is an open-source tool by CEA List for exploring and annotating your dataset using AI features:

Fast dataset navigation using the the modern storage format Lance
Multi-view datasets support for images, and soon for 3D point clouds and videos
Import and export support for dataset formats like COCO
Semantic search using models like CLIP
Smart segmentation using models like SAM

Getting started

Installing Pixano

As Pixano requires specific versions for its dependencies, we recommend creating a new Python virtual environment to install it.

For example, with conda:

conda create -n pixano_env python=3.10
conda activate pixano_env

Then, you can install the Pixano package inside that environment with pip:

pip install pixano

Using your datasets

Please refer to our Jupyter notebooks for importing and exporting your datasets.

Using the Pixano app

Please refer to this link for using the Pixano app.

Contributing

Please refer to the CONTRIBUTING.md for information on running Pixano locally and guidelines on how to publish your contributions.

License

Pixano is licensed under the CeCILL-C license.

FAQs

What is pixano?

Data-centric AI building blocks for computer vision applications. Visit Snyk Advisor to see a full health score report for pixano, including popularity, security, maintenance & community analysis.

Is pixano popular?

The python package pixano receives a total of 1,072 weekly downloads. As such, pixano popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is pixano well maintained?

We found indications that pixano maintenance is sustainable demonstrating some project activity. We saw a total of 8 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is pixano safe to use?

The python package pixano 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 17 November-2024, at 18:08 (UTC).

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pixano

Data-centric AI building blocks for computer vision applications For more information about how to use this package see README

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Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

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Package

Readme

Getting started

Installing Pixano

Using your datasets

Using the Pixano app

Contributing

License

FAQs

What is pixano?

Is pixano popular?

Is pixano well maintained?

Is pixano 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

Explore Similar Packages

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

Getting started

Installing Pixano

Using your datasets

Using the Pixano app

Contributing

License

FAQs

What is pixano?

Is pixano popular?

Is pixano well maintained?

Is pixano 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