gota
Dataframes for Go language.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is gota?
Gota provides data manipulation capabilities similar to pandas in Python but for the Go programming language. It is useful for developers who need to handle and manipulate tabular data efficiently within their Go applications.
Key differentiator
“Gota stands out as the premier dataframe library for Go, offering efficient and idiomatic ways to handle tabular data within Go applications.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
Smaller user base compared to pandas in Python, leading to fewer resources and slower issue resolution.
While efficient, Gota's abstractions can introduce overhead that might be noticeable with large datasets or complex transformations.
Gota has fewer ecosystem integrations compared to pandas, which may limit its utility in a broader data science workflow within Go applications.
Fit analysis
Who is it for?
✓ Best for
Go developers who need to handle large datasets efficiently
Projects requiring integration of data manipulation with Go's concurrency features
✕ Not a fit for
Developers looking for a full-featured machine learning library (consider TensorFlow or PyTorch)
Projects that require real-time streaming data processing
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 gota
Step-by-step setup guide with code examples and common gotchas.