Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 9 Ratings

Total
ease
features
design
support

Alternatives to Consider

  • Admin By Request Endpoint Privilege Management Reviews & Ratings
    91 Ratings
    Company Website
  • PackageX OCR Scanning Reviews & Ratings
    48 Ratings
    Company Website
  • Building Logistics Reviews & Ratings
    186 Ratings
    Company Website
  • Notifii Track Reviews & Ratings
    649 Ratings
    Company Website
  • ALMobile Reviews & Ratings
    29 Ratings
    Company Website
  • Parasoft Reviews & Ratings
    148 Ratings
    Company Website
  • ONLYOFFICE Docs Reviews & Ratings
    715 Ratings
    Company Website
  • DialedIn Reviews & Ratings
    615 Ratings
    Company Website
  • Auth0 Reviews & Ratings
    1,065 Ratings
    Company Website
  • Source Defense Reviews & Ratings
    7 Ratings
    Company Website

What is Healthy Package AI?

Healthy Package AI, created by DerScanner, acts as a powerful resource designed to ensure the health and safety of open-source packages, effectively shielding applications from a range of potential risks. By utilizing the comprehensive analysis of over 100 million packages performed by DerScanner, developers are able to meticulously evaluate open-source dependencies before integrating them into their projects, thus boosting their confidence in the choices they make. With Healthy Package AI, users can easily access in-depth insights by entering a GitHub URL or a package name, such as Facebook's React. The platform assesses various critical metrics to provide a thorough security evaluation, which encompasses: Search Popularity: This function assists in identifying widely used and reliable libraries suitable for integration into your projects. Author’s Reliability: This feature examines the backgrounds of project authors, confirming that contributors have the requisite experience and credibility, thereby minimizing the risks associated with potentially malicious developers. Moreover, this cutting-edge tool not only enables developers to make better-informed choices but also contributes to cultivating a more secure open-source community for everyone involved. Ultimately, Healthy Package AI transforms the way developers approach package selection, leading to more robust and trustworthy applications.

What is Anaconda?

Anaconda is an AI-native development platform designed to help organizations build, govern, and scale AI using trusted open-source tools. The platform supports teams from the first experiment through production deployment with package management, governed environments, and orchestration capabilities. Anaconda helps solve common AI development challenges such as broken environments, dependency conflicts, security vulnerabilities, data science workflow friction, and stalled model deployments. Anaconda Core provides trusted Python package management with thousands of validated packages, automated security scanning, and intelligent conflict resolution. This gives developers and data science teams a more reliable foundation for building Python, machine learning, and AI applications. The Anaconda Platform is designed for organizations that need governance, control, and repeatability across AI initiatives. Its trusted distribution supports secure access to open-source packages while helping teams reduce risk in enterprise development environments. Anaconda also supports AI orchestration, helping teams move models and workflows closer to production-ready operation. The company offers resources such as learning courses, certifications, reports, guides, documentation, support, and professional services to help teams advance their AI and data science maturity. Anaconda is used by millions of global users, developers, contributors, organizations, and Fortune 500 companies. By combining trusted open source, Python package management, AI governance, secure environments, and production-focused orchestration, Anaconda gives enterprises a foundation for building AI systems with greater speed and confidence.

Media

No images available

Media

Integrations Supported

Amazon Web Services (AWS)
Azure Data Science Virtual Machines
Azure Marketplace
Dask
Domino Enterprise AI Platform
Google Cloud Platform
IBM watsonx.data
Jovian
Jupyter Notebook
Kilo Code
Kilo Code Reviewer
KiloClaw
Kixie PowerCall & SMS
Microsoft Azure
NVIDIA RAPIDS
OpenSCAP
Python
Thunder Compute
Visual Studio Code
statsmodels

Integrations Supported

Amazon Web Services (AWS)
Azure Data Science Virtual Machines
Azure Marketplace
Dask
Domino Enterprise AI Platform
Google Cloud Platform
IBM watsonx.data
Jovian
Jupyter Notebook
Kilo Code
Kilo Code Reviewer
KiloClaw
Kixie PowerCall & SMS
Microsoft Azure
NVIDIA RAPIDS
OpenSCAP
Python
Thunder Compute
Visual Studio Code
statsmodels

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

DerScanner

Date Founded

2011

Company Website

healthypackage.ai/

Company Facts

Organization Name

Anaconda

Date Founded

2012

Company Location

United States

Company Website

www.anaconda.com/enterprise/

Categories and Features

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Popular Alternatives

Arize Phoenix Reviews & Ratings

Arize Phoenix

Arize AI

Popular Alternatives

Bytesafe Reviews & Ratings

Bytesafe

Bitfront