---
title: mlpack Reviews
meta_title: 'mlpack Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter reviews by the users' company size, role or industry to find
  out how mlpack works for a business like yours.
aggregate_rating:
  rating_value: 3.5
  review_count: 1
  scale: '5'
date_modified: '2025-03-10'
parent_category:
  name: Artificial Intelligence
  url: https://www.g2.com/categories/artificial-intelligence
---


# mlpack Reviews
**Vendor:** mlpack  
**Category:** [Machine Learning Software](https://www.g2.com/categories/machine-learning)  
**Average Rating:** 3.5/5.0  
**Total Reviews:** 1
## About mlpack
mlpack is a scalable machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms, these algorithms as simple command-line programs and C++ classes which can then be integrated into larger-scale machine learning solutions.




## mlpack Reviews
  ### 1. ML Library for C++ lovers

**Rating:** 3.5/5.0 stars

**Reviewed by:** Gunank S. | Machine Learning Engineer, Computer Software, Mid-Market (51-1000 emp.)

**Reviewed Date:** August 20, 2018

**What do you like best about mlpack?**

I started programming with C++. But when i want to start Machine Learning i thought i have to move to some other language like R, Python which have huge libraries for Machine Learning work. Which is also fast.

**What do you dislike about mlpack?**

It is not rapid prototype kind of language. If we want to try different approaches for some work to see which one works best then we will use python. C++ is good for production systems when we already know which algorithm we want to use.

**Recommendations to others considering mlpack:**

You will not use only MLpack for long term in Machine Learning because if you want to try different approaches for ML then you will surely need to switch to Python.

**What problems is mlpack solving and how is that benefiting you?**

I have solved some real world problems using mlpack and this will be good if you want to stick with C++. It is amazing for production work and very fast. Python also provides some C++ wrappers. 


## mlpack Discussions
  - [What is mlpack used for?](https://www.g2.com/discussions/mlpack-what-is-mlpack-used-for)
  - [What is mlpack used for?](https://www.g2.com/discussions/what-is-mlpack-used-for)

- [View mlpack pricing details and edition comparison](https://www.g2.com/products/mlpack/reviews?filters%5Bnps_score%5D%5B%5D=4&section=pricing&secure%5Bexpires_at%5D=2026-08-12+21%3A56%3A40+-0500&secure%5Bsession_id%5D=4c0cea47-fc1a-4d1b-a13b-f075b9a6d5d1&secure%5Btoken%5D=bc9014503ff6d4c21dc7d676217bef92ad5bcada851510edaad108f89dcc45a5&format=llm_user)

## mlpack Features
**Additional Functionality**
- Tagging
- Natural Language Processing
- Data Extraction
- Multi-Language
- Predictive Analytics
- Drag & Drop
- Speech Recognition
- Reporting/Analytics
- Data Storage Management
- Virtual Personal Assistant (VPA)
- AI Copilot
- Customer Segmentation
- Collaboration Tools
- Data Import/Export
- Generative AI
- For eCommerce
- Role-Based Permissions
- Customizable Branding
- Search/Filter
- Monitoring
- Document Management
- API
- Data Visualization
- Trend Analysis
- Machine Learning
- Access Controls/Permissions
- Alerts/Escalation
- Performance Metrics
- Real-Time Data
- Third-Party Integrations
- Mobile App
- Multiple Data Sources
- For Sales Teams/Organizations
- Sentiment Analysis
- Activity Dashboard
- Chatbot
- Workflow Automation

**Integration - Machine Learning**
- Integration
- Third-Party Integrations

**Learning - Machine Learning**
- Training Data
- Actionable Insights
- Algorithm

**Additional Functionality**
- Predictive Modeling
- Configurable Workflow
- Tagging
- Data Import/Export
- API
- Predictive Analytics
- Data Visualization
- Endpoint Management
- Multiple Data Sources
- No-Code
- Data Preparation
- Auditing
- Collaboration Tools
- Big Data Analytics
- ML Algorithm Library
- Data Management
- Activity Dashboard
- Data Capture and Transfer
- Activity Tracking
- Data Connectors
- Data Security
- Data Extraction
- Reporting & Statistics
- Workflow Management
- AI Copilot

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