Quick Summary
GitHub Copilot Workspace
A Copilot-native development environment facilitating task-oriented workflows, real-time collaboration, and efficient iterative development.
Rating:
4.3/5
Gorilla
An AI assistant enabling large language models (LLMs) to accurately invoke APIs through semantic and syntactic natural language queries.
Rating:
3.7/5
Tool Overview
1st
![GitHub Copilot Workspace](/static/logo/github_copilot_workspace.png)
GitHub Copilot Workspace
AI Agent
2nd
![Gorilla](/static/logo/gorilla.png)
Gorilla
AI Assistant
Features
Features
Feature | GitHub Copilot Workspace | Gorilla |
---|---|---|
Subtype | Workspace | Web App |
Recommendation | Upcoming | Ignore |
Task-Oriented Development | Coordinate complex multi-file changes with structured plans | — |
Iterative Editing | Editable specifications and regeneration without starting over | — |
Collaborative Environment | Real-time sharing and version tracking | — |
IDE Integration | Seamless integration with tools like Visual Studio Code | — |
API Invocation | — | Enables LLMs to invoke over 1,600 APIs accurately |
Semantic Matching | — | Ensures API calls are semantically and syntactically correct |
Reduced Hallucination | — | Minimizes LLM-generated errors in API usage |
APIBench Integration | — | Leverages the APIBench dataset for extensive API training |
Scalable API Store | — | Supports an ever-growing collection of APIs |
Pricing
Pricing Plans
Plan | GitHub Copilot Workspace | Gorilla |
---|---|---|
Free | $0 Access to basic task workflows | $0 Basic API invocation capabilities |
Pro | $25/month Advanced collaboration and code review features | $18/month Enhanced API matching and lower latency |
Enterprise | Custom Scalable solutions for large teams | Custom Scalable deployment with enterprise-level API integration |
Pros & Cons
GitHub Copilot Workspace
Pros
- •Task-oriented development across multiple files
- •Real-time collaborative editing
- •Integrated debugging and testing workflows
Cons
- •Still in development with limited public availability
- •Resource-intensive for larger projects
- •Learning curve for fully utilizing iterative workflows
Gorilla
Pros
- •Accurate API invocation through LLMs
- •Minimized API call hallucinations
- •Extensive APIBench dataset integration
Cons
- •Requires precise natural language input for accuracy
- •Limited flexibility for uncommon APIs
- •Early-stage product with ongoing refinements
Our Recommendation
Based on the comparison above, we recommend GitHub Copilot Workspace for most users because:
- Best overall feature set
- Competitive pricing
- Strong user ratings