GPT-Code vs Orca

Side-by-side comparison of two AI agent tools

Short answer

  • GPT-Code has had no commit in 38 months; Orca is actively maintained (6,438 commits in the last 90 days).
  • Orca is growing faster: +19,335 GitHub stars in the last 30 days vs +-6 for GPT-Code.
  • Pick GPT-Code for: an open source implementation of OpenAI's ChatGPT Code interpreter. Pick Orca for: orca is the ADE for working with a fleet of parallel agents.

From GitHub data refreshed daily.

GPT-Codeopen-source

An open source implementation of OpenAI's ChatGPT Code interpreter

O
Orcaopen-source

Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and remote runtime.

Metrics

GPT-CodeOrca
Stars3.5k83.6k
Star velocity /mo-5.55555555555555519.3k
Commits (90d)06.4k
Releases (6m)010
Overall score0.113105381166257140.957769928427318

Pros

  • +Simple installation via pip with one-command startup (pip install gpt-code-ui && gptcode)
  • +Full context awareness maintains conversation history and can reference previous code executions
  • +File upload/download support enables working with external data sources and exporting results

    Cons

    • -Limited to Python code execution only, cannot run other programming languages
    • -Requires OpenAI API key and incurs usage costs for each interaction
    • -No apparent built-in security isolation or sandboxing details mentioned for code execution safety

      Use Cases

      • •Data analysis and visualization projects where you need AI assistance to generate charts and insights
      • •Rapid prototyping and proof-of-concept development with AI-generated code snippets
      • •Educational scenarios for learning Python programming through AI-guided code generation

        FAQ

        Which is more popular, GPT-Code or Orca?
        Orca has more GitHub stars (83,552 vs 3,535).
        Which is more actively developed, GPT-Code or Orca?
        Orca had more commits in the last 90 days (6,438 vs 0).
        Should I use GPT-Code or Orca?
        Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.