Dataframe-go

What it is

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.

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.

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

   Steep learning curve for non-Pandas users

   The API design closely mirrors pandas in Python, which can be confusing for developers unfamiliar with pandas.

2. 02

   Limited third-party library support and integrations

   Compared to the extensive ecosystem of Python's pandas, Dataframe-go has fewer complementary libraries and tools available.

3. 03

   Performance may degrade with very large datasets

   Go's memory management can lead to performance bottlenecks when handling extremely large dataframes compared to optimized C-based pandas.

What it does well

• Efficient data manipulation similar to pandas in Python.

• Support for machine learning and statistical operations.

• Integration with Go ecosystem for seamless development.

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.