BIDMat
CPU and GPU-accelerated matrix library for large-scale data analysis.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Verified · Jul 12, 2026Overview
What is BIDMat?
BIDMat is a high-performance matrix library designed to support large-scale exploratory data analysis, offering both CPU and GPU acceleration. It's particularly useful for researchers and developers working with big datasets who need fast computation capabilities.
Key differentiator
“BIDMat stands out as a high-performance matrix library that offers both CPU and GPU acceleration, making it particularly suitable for large-scale data analysis tasks.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
BIDMat is tightly coupled with Scala and lacks native bindings for other popular languages like Python or Java.
The project has a relatively small number of contributors and users, which limits the availability of plugins and support resources.
Setting up BIDMat with GPU support requires specific configurations and dependencies that can be challenging to manage.
The official documentation lacks detailed examples and tutorials, making it difficult for new users to get started quickly.
Fit analysis
Who is it for?
✓ Best for
Teams working on large-scale data analysis who require both CPU and GPU acceleration for matrix operations.
Projects that need high-performance computing capabilities without the overhead of cloud services.
✕ Not a fit for
Applications requiring real-time processing where latency is critical
Small-scale projects where the overhead of setting up BIDMat outweighs its benefits
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Integrations
Next step
Get Started with BIDMat
Step-by-step setup guide with code examples and common gotchas.