MadcowD/ell

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

5864 stars · 341 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

ell is a lightweight Python library for language model programming that treats prompts as functions (language model programs) rather than strings. It provides automatic prompt versioning, serialization, and a local monitoring/visualization tool called Ell Studio.

Use cases

• write prompts as python functions for llm calls
• version and track prompt changes over time
• monitor and visualize llm calls locally
• build multimodal llm applications with images and audio
• iterate on prompt engineering like an optimization process
• manage prompt regressions with a local store

When to choose

• you want prompts defined as typed, reusable Python functions
• you need automatic versioning and commit history for prompts
• you want a local, open-source alternative to prompt monitoring SaaS
• you work with OpenAI or Anthropic models in Python

When to avoid

• you need a full LLM application framework with agents and chains
• you require non-Python languages
• you need hosted team collaboration for prompt management
• you only make simple one-off API calls without iteration

Facets

library · maturity active

prompt-engineering llm-inference monitoring version-control large-language-models artificial-intelligence developer-tools python cross-platform cli llm prompts-as-functions prompt-versioning ell-studio multimodal openai anthropic natural-language-processing

Member repositories

For agents

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