goro

High-level machine learning library inspired by Keras

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

What is goro?

Goro is a high-level machine learning library that simplifies the process of building and training deep learning models, similar to how Keras does for TensorFlow.

Key differentiator

Goro stands out by providing a high-level API in Go, making deep learning accessible to developers familiar with this language and looking for an easy-to-use library similar to Keras.

Capability profile

Strength Radar

High-level API f…Inspired by Kera…Supports various…

Honest assessment

Strengths & Weaknesses

↑ Strengths

High-level API for building deep learning models

Inspired by Keras, making it easy to use and understand

Supports various machine learning tasks

Fit analysis

Who is it for?

✓ Best for

Go developers who need a high-level API to build deep learning models without diving into low-level details

Data science teams looking for an easy-to-use library similar to Keras but in Go

✕ Not a fit for

Projects requiring real-time inference as it is not optimized for that use case

Teams needing extensive pre-built model libraries, as goro focuses on the framework rather than specific models

Cost structure

Pricing

Free Tier

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Ecosystem

Relationships

Alternatives

Next step

Get Started with goro

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →