--- title: Torch Reviews meta_title: 'Torch Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 15 reviews by the users' company size, role or industry to find out how Torch works for a business like yours. aggregate_rating: rating_value: 4.4 review_count: 15 scale: '5' date_modified: '2026-08-07' parent_category: name: Deep Learning url: https://www.g2.com/categories/deep-learning --- # Torch Reviews **Vendor:** Torch Leadership Labs **Category:** [Artificial Neural Network Software](https://www.g2.com/categories/artificial-neural-network) **Average Rating:** 4.4/5.0 **Total Reviews:** 15 ## About Torch Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. ## Torch Reviews ### 1. Torch Framework **Rating:** 3.5/5.0 stars **Reviewed by:** Rashmi G. | Data Analyst intern, Utilities, Mid-Market (51-1000 emp.) **Reviewed Date:** October 04, 2018 **What do you like best about Torch?** Torch , has many packages in machine learning, signal processing, audio, video, and parallel processing. it also has neural networks and deep learning algorithms. Basically, Torch comes with the integration of LuaJIT programming language with underlying C implementation. It has better computational features where managing dependencies are easier than python. The most important reason I like this framework is, it doe not have compilation time which means your code interpreted and debugging is much easier **What do you dislike about Torch?** I personally like coding in Python and I prefer using tensor flow over torch. Otherwise, this product is as good as tensorflow. If someone is willing to learn a new language, this product is highly recommended. **Recommendations to others considering Torch:** Easy to use and learn **What problems is Torch solving and how is that benefiting you?** I have used torch to automate the process in my team by writing machine learning models which reduced the time required for analysis. The complete end to end process in the team is being automated using the neural network and deep learning algorithms using torch framework. ### 2. Torch scientific computing framwerok for Luajit Machine Learning **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** May 01, 2018 **What do you like best about Torch?** the best of Torch is their performance capability that can reach almost 80% of C with JIT, also the LUA can use C libraries directly, other feature amazing is the GPU support. The neural networks are the new way of tracking peoples with simmilar search pattern and the Torch provide all of do you need for do it. **What do you dislike about Torch?** An negative point of TORCH is that it need LuaJIT environment when it runs and it's slowing down the go to large-scale production. **Recommendations to others considering Torch:** the TORCH will should be incorporate an feature that allow to use the LuaJit scripts without the LuaJit environment. **What problems is Torch solving and how is that benefiting you?** in our organization TORCH has solved the automatization of some process, through LUAJIT lenguaje and the compatibility with existents script based on C. ### 3. It's a good computing framework with lots of powerful features **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** September 30, 2018 **What do you like best about Torch?** I like the machine learning library and torch library for scientific computing **What do you dislike about Torch?** There is nothing specific I can mention here **What problems is Torch solving and how is that benefiting you?** I am trying to solve machine learning problems. I have realized that Torch is pretty fast and has all features I need. ## Torch Discussions - [How do I perform cross-validation and ensembling on Pytorch, and how can I integrate scikit-learn](https://www.g2.com/discussions/12676-how-do-i-perform-cross-validation-and-ensembling-on-pytorch-and-how-can-i-integrate-scikit-learn) - 1 upvote - [View Torch pricing details and edition comparison](https://www.g2.com/products/torch/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-12+21%3A27%3A43+-0500&secure%5Bsession_id%5D=919fd108-f390-4fa7-b1a5-4bb3d767daba&secure%5Btoken%5D=dda644891445e27fe3f786b26682b3172ebaae1c8b4cc9c8a2f9cb98b875f50a&format=llm_user) ## Torch 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 **Additional Functionality** - No-Code - Search/Filter - Data Import/Export - Data Visualization - Activity Dashboard - Workflow Management - Quality Control - Third-Party Integrations - Model Training - Multi-Language - Data Profiling - Visualization - Data Capture and Transfer - Predictive Analytics - Performance Metrics - Image Recognition - Version Control - Neural Network Modeling - Generative AI - Synchronous Learning - Natural Language Processing - Monitoring - Data Transformation - Customizable Reports - Voice Recognition - Performance Management - Compliance Management - Troubleshooting - Content Management - Asynchronous Learning - Real-Time Reporting - API - Artificial Neural Networks - AI Copilot - ML Algorithm Library - Real-Time Data - Collaboration Tools - Self-paced Learning - Data Extraction - Configuration Management - Data Security - Visual Analytics - Activity Tracking - Continuous Delivery - Document Classification - Image Analysis - Progress Tracking - Reporting & Statistics - Real-Time Monitoring **Core Functionality - Artificial Neural Network** - Neural Network Training - Neural Network Testing - Model Evaluation - Compliance **Integration - Machine Learning** - Integration - Third-Party Integrations **Data Handling - Artificial Neural Network** - Data Integration - Data Preprocessing **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 **Performance - Artificial Neural Network** - Model Optimization - Scalability **Usability - Artificial Neural Network** - User Interface - Documentation & Support - Customizability **Advanced Features - Artificial Neural Network** - Deep Learning Capabilities - Transfer Learning - Real-Time Processing - Automated Model Tuning - Visualization Tools **Agentic AI - Artificial Neural Network** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making ## Top Torch Alternatives - [Automation Anywhere Agentic Process Automation](https://www.g2.com/products/automation-anywhere-agentic-process-automation/reviews) - 4.5/5.0 (4,062 reviews) - [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) - 4.4/5.0 (1,941 reviews) - [Phrase](https://www.g2.com/products/phrase-phrase/reviews) - 4.5/5.0 (1,292 reviews)