View astra-logs on Snyk Open Source Advisor

Package Health Score

73 / 100

security
No known security issues
popularity
Small
maintenance
Sustainable
community
Active

Popularity

Small

GitHub Stars: 4.32K
Forks: 319
Contributors: 70

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package astra-logs, we found that it has been starred 4,320 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jun 7, 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

Elastic-2.0

Security Policy

Yes

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Maintenance

Sustainable

Commit Frequency

Open Issues: 206
Open PR: 15
Last Release: 7 months ago
Last Commit: 4 days ago

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

We found that astra-logs 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: 70
Funding: No

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

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Package

Python Versions Compatibility: <3.13,>=3.8

Age: 7 months
Latest Release: 7 months ago
Dependencies: 21 Direct
Versions: 5
Maintainers: 0
Wheels: OS Independent

Readme

Phoenix is an open-source AI observability platform designed for experimentation, evaluation, and troubleshooting. It provides:

Tracing - Trace your LLM application's runtime using using OpenTelemetry-based instrumentation.
Evaluation - Leverage LLMs to benchmark your application's performance using response and retrieval evals.
Inference Analysis - Visualize inferences and embeddings using dimensionality reduction and clustering to identify drift and performance degradation.

Phoenix is vendor and language agnostic with out-of-the-box support for popular frameworks (🦙LlamaIndex, 🦜⛓LangChain, 🧩DSPy) and LLM providers (OpenAI, Bedrock, and more). For details on auto-instrumentation, check out the OpenInference project.

Phoenix runs practically anywhere, including your Jupyter notebook, local machine, containerized deployment, or in the cloud.

Installation

Install Phoenix via pip or conda along with extra dependencies for running evals:

pip install 'arize-phoenix[evals]'

Phoenix container images are available via Docker Hub and can be deployed using Docker or Kubernetes.

Community

Join our community to connect with thousands of AI builders.

🌍 Join our Slack community.
💡 Ask questions and provide feedback in the #phoenix-support channel.
🌟 Leave a star on our GitHub.
🐞 Report bugs with GitHub Issues.
𝕏 Follow us on 𝕏.
💌️ Sign up for our mailing list.
🗺️ Check out our roadmap to see where we're heading next.

Thanks

UMAP For unlocking the ability to visualize and reason about embeddings
HDBSCAN For providing a clustering algorithm to aid in the discovery of drift and performance degradation

Breaking Changes

See the migration guide for a list of breaking changes.

Copyright, Patent, and License

Portions of this code are patent protected by one or more U.S. Patents. See IP_NOTICE.

This software is licensed under the terms of the Elastic License 2.0 (ELv2). See LICENSE.

FAQs

What is astra-logs?

AI Observability and Evaluation. Visit Snyk Advisor to see a full health score report for astra-logs, including popularity, security, maintenance & community analysis.

Is astra-logs popular?

We’re still processing downloads data for the python package astra-logs. Visit the popularity section on Snyk Advisor to see the full popularity analysis.

Is astra-logs well maintained?

We found indications that astra-logs maintenance is sustainable demonstrating some project activity. We saw a total of 70 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is astra-logs safe to use?

The python package astra-logs 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 19 December-2024, at 05:43 (UTC).

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astra-logs

AI Observability and Evaluation For more information about how to use this package see README

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Package Health Score

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Security

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Maintenance

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Community

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Readme

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Breaking Changes

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astra-logs dependencies

FAQs

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Is astra-logs well maintained?

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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

Installation

Community

Thanks

Breaking Changes

Copyright, Patent, and License

astra-logs dependencies

FAQs

What is astra-logs?

Is astra-logs popular?

Is astra-logs well maintained?

Is astra-logs safe to use?

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Source Code

Open Source

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Config

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