gota

What it is

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.

Gota stands out as the premier dataframe library for Go, offering efficient and idiomatic ways to handle tabular data within Go applications.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited community support and documentation

   Smaller user base compared to pandas in Python, leading to fewer resources and slower issue resolution.

2. 02

   Performance may not match native Go solutions for complex operations

   While efficient, Gota's abstractions can introduce overhead that might be noticeable with large datasets or complex transformations.

3. 03

   Limited third-party library integrations

   Gota has fewer ecosystem integrations compared to pandas, which may limit its utility in a broader data science workflow within Go applications.

What it does well

• Efficient data manipulation and analysis

• Support for CSV, JSON, and SQL databases

• Integration with Go's ecosystem

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.