Dataframe-go
Go-based dataframes for machine learning and statistics.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Dataframe-go?
Dataframe-go provides a Go implementation of pandas-like dataframes for efficient data manipulation, ideal for developers working on machine-learning projects in the Go ecosystem.
Key differentiator
“Dataframe-go stands out by offering a robust dataframe implementation in the Go language, providing efficient data manipulation capabilities similar to pandas but tailored specifically for the Go ecosystem.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
The API design closely mirrors pandas in Python, which can be confusing for developers unfamiliar with pandas.
Compared to the extensive ecosystem of Python's pandas, Dataframe-go has fewer complementary libraries and tools available.
Go's memory management can lead to performance bottlenecks when handling extremely large dataframes compared to optimized C-based pandas.
Fit analysis
Who is it for?
✓ Best for
Developers working on machine learning projects in the Go ecosystem who need efficient data manipulation capabilities similar to pandas.
Data scientists looking for a Go-based solution for statistical analysis and data preprocessing.
✕ Not a fit for
Projects requiring extensive integration with Python libraries, as Dataframe-go is designed for Go developers.
Teams preferring cloud-hosted solutions over self-hosting.
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
Next step
Get Started with Dataframe-go
Step-by-step setup guide with code examples and common gotchas.