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Description
Phoenix serves as a comprehensive open-source observability toolkit tailored for experimentation, evaluation, and troubleshooting purposes. It empowers AI engineers and data scientists to swiftly visualize their datasets, assess performance metrics, identify problems, and export relevant data for enhancements. Developed by Arize AI, the creators of a leading AI observability platform, alongside a dedicated group of core contributors, Phoenix is compatible with OpenTelemetry and OpenInference instrumentation standards. The primary package is known as arize-phoenix, and several auxiliary packages cater to specialized applications. Furthermore, our semantic layer enhances LLM telemetry within OpenTelemetry, facilitating the automatic instrumentation of widely-used packages. This versatile library supports tracing for AI applications, allowing for both manual instrumentation and seamless integrations with tools like LlamaIndex, Langchain, and OpenAI. By employing LLM tracing, Phoenix meticulously logs the routes taken by requests as they navigate through various stages or components of an LLM application, thus providing a clearer understanding of system performance and potential bottlenecks. Ultimately, Phoenix aims to streamline the development process, enabling users to maximize the efficiency and reliability of their AI solutions.
Description
Healthy Package AI, developed by DerScanner, serves as an effective tool aimed at maintaining the health and security of open-source packages, thereby protecting applications from various threats. By harnessing the extensive analysis of over 100 million packages conducted by DerScanner, developers can thoroughly assess open-source dependencies prior to their inclusion in projects, enhancing confidence in their selections.
With the capabilities of Healthy Package AI, users can delve into comprehensive insights by simply inputting a GitHub URL or the name of a package, like Facebook's React. The platform performs an evaluation of several essential metrics to deliver a holistic security assessment, which includes:
Search Popularity: This feature helps pinpoint popular and dependable libraries that can be reliably used in your projects.
Author’s Reliability: This aspect scrutinizes the credentials of project authors, ensuring that contributors possess the necessary experience and trustworthiness, thus reducing the threat posed by potentially harmful developers.
Furthermore, this innovative solution empowers developers to make more informed decisions and fosters a safer open-source ecosystem overall.
API Access
Has API
API Access
Has API
Screenshots View All
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Integrations
APIFuzzer
Arize AI
CoLab
Codestral Mamba
Conda
Gemini Enterprise Agent Platform
GitHub
Guardrails AI
Haystack
JupyterLab
Integrations
APIFuzzer
Arize AI
CoLab
Codestral Mamba
Conda
Gemini Enterprise Agent Platform
GitHub
Guardrails AI
Haystack
JupyterLab
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Arize AI
Country
United States
Website
docs.arize.com/phoenix
Vendor Details
Company Name
DerScanner
Founded
2011
Website
healthypackage.ai/