Which is more popular, Open WebUI or TextGen?

Open WebUI has more GitHub stars (153,800 vs 47,721).

Which is more actively developed, Open WebUI or TextGen?

Open WebUI had more commits in the last 90 days (1,515 vs 1).

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

Open WebUI is growing faster: +3,942 GitHub stars in the last 30 days vs +215 for TextGen.
Pick Open WebUI for: user-friendly AI Interface (Supports Ollama, OpenAI API, ...). Pick TextGen for: the original local LLM interface.

From GitHub data refreshed daily.

User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

The original local LLM interface. Text, vision, tool-calling, training, and more. 100% offline.

+Multi-provider AI integration supporting both local Ollama models and remote OpenAI-compatible APIs in a single interface
+Self-hosted deployment with complete offline capability ensuring data privacy and security control
+Enterprise-grade user management with granular permissions, user groups, and admin controls for organizational deployment

+Complete offline operation with zero telemetry ensures maximum privacy and data security
+Multiple backend support (llama.cpp, Transformers, ExLlamaV3, TensorRT-LLM) with hot-swapping capabilities
+Comprehensive feature set including vision, tool-calling, training, and image generation in one interface

-Requires technical expertise for initial setup and maintenance of Docker/Kubernetes infrastructure
-Self-hosting demands dedicated server resources and ongoing system administration
-Limited to local deployment model, lacking the convenience of managed cloud AI services

-Requires significant local hardware resources (GPU/CPU) for optimal performance
-Full feature set installation may be complex compared to portable GGUF-only builds
-No cloud-based fallback options when local hardware is insufficient

•Enterprise organizations deploying private AI assistants with strict data governance and user access controls
•Development teams building local AI workflows with multiple model providers while maintaining code and data privacy
•Educational institutions providing students and faculty with controlled AI access without external data sharing

•Privacy-sensitive organizations needing local AI without data leaving premises
•Researchers and developers fine-tuning custom models with LoRA training
•Content creators requiring offline multimodal AI for text, vision, and image generation

Which is more popular, Open WebUI or TextGen?: Open WebUI has more GitHub stars (153,800 vs 47,721).
Which is more actively developed, Open WebUI or TextGen?: Open WebUI had more commits in the last 90 days (1,515 vs 1).
Should I use Open WebUI or TextGen?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.