Average Ratings 0 Ratings
Average Ratings 1 Rating
Description
The Portage Development Project aims to create a continuously evolving and improving tool for package management and installation. Its developers strive to establish a cohesive system that minimizes issues, focusing on aspects like backward compatibility, automation, and user-friendliness. Issues are identified and resolved through the Gentoo bug tracker, while communication among developers is facilitated via the gentoo-portage-dev mailing list. Additionally, the #gentoo-portage IRC channel on the Libera.Chat network serves as another platform for interaction. The overarching objective of the Portage project is to achieve a smooth integration of tools for both developers and users, thereby enhancing the development and upkeep of Gentoo packages. This involves not only enhancing Portage itself but also improving related tools and ensuring our APIs provide value to other applications in the ecosystem. By fostering collaboration and communication among developers, the project seeks to continually innovate and streamline the package management experience.
Description
Posit delivers a comprehensive ecosystem for modern data science, uniting open-source technologies with enterprise-grade collaboration and deployment tools. Positron, its free data-science IDE, blends the immediacy of a console with powerful debugging, editing, and production capabilities for Python and R developers. Posit’s suite of products allows organizations to securely host analytical content, automate reporting, and operationalize models with confidence. With strong support for open-source tooling, the company enables teams to build on transparent, extensible technologies they can fully trust. Cloud solutions simplify how users store, access, and scale their projects while maintaining reproducibility and governance. Customer success stories from organizations like Dow, PING, and the City of Reykjavík highlight the impact of Posit-powered applications in real-world environments. Posit also fosters a thriving community, offering resources, events, champions programs, and extensive documentation. Built by data scientists for data scientists, Posit helps teams adopt open-source data science practices at enterprise scale.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Bugzilla
Yes
Coginiti
No
Gentoo
Yes
Jupyter Notebook
No
Positron
No
Python
No
R
No
RStudio
No
Snowflake Cortex AI
No
Visual Studio Code
No
Integrations
Bugzilla
No
Coginiti
Yes
Gentoo
No
Jupyter Notebook
Yes
Positron
Yes
Python
Yes
R
Yes
RStudio
Yes
Snowflake Cortex AI
Yes
Visual Studio Code
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Portage
Website
wiki.gentoo.org/wiki/Project:Portage
Vendor Details
Company Name
Posit
Founded
2009
Country
United States
Website
posit.co
Product Features
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
IDE
Code Completion
No
Compiler
No
Cross Platform Support
No
Debugger
No
Drag and Drop UI
No
Integrations and Plugins
No
Multi Language Support
No
Project Management
No
Text Editor / Code Editor
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Source Code Management
Access Controls/Permissions
No
Bug Tracking
No
Build Automation
No
Change Management
No
Code Review
No
Collaboration
No
Continuous Integration
No
Repository Management
No
Version Control
No
Statistical Analysis
Analytics
No
Association Discovery
No
Compliance Tracking
No
File Management
No
File Storage
No
Forecasting
No
Multivariate Analysis
No
Regression Analysis
No
Statistical Process Control
No
Statistical Simulation
No
Survival Analysis
No
Time Series
No
Visualization
No