Which is more popular, GPT-Code or Tabby?

Tabby has more GitHub stars (33,888 vs 3,535).

Which is more actively developed, GPT-Code or Tabby?

GPT-Code had more commits in the last 90 days (0 vs 0).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

GPT-Code has had no commit in 38 months; Tabby is actively maintained.
Tabby is growing faster: +123 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 Tabby for: self-hosted AI coding assistant.

From GitHub data refreshed daily.

GPT-Codeopen-source

An open source implementation of OpenAI's ChatGPT Code interpreter

Self-hosted AI coding assistant

+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

-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

•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

Which is more popular, GPT-Code or Tabby?: Tabby has more GitHub stars (33,888 vs 3,535).
Which is more actively developed, GPT-Code or Tabby?: GPT-Code had more commits in the last 90 days (0 vs 0).
Should I use GPT-Code or Tabby?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.