head to head · open source

ponytail vs LiteLLM

ponytail has 141,230 GitHub stars, 7,572 forks, 270 open issues and last shipped 4 days ago. LiteLLM has 59,003 stars, 11,534 forks, 5,022 open issues and last shipped yesterday. ponytail leads on adoption by 139% (141,230 vs 59,003 stars). ponytail is written in JavaScript under MIT; LiteLLM is written in Python under a custom or non-standard licence. ponytail has attracted 5% as many forks as stars, LiteLLM 20%. LiteLLM was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

ponytail ★ 141K LiteLLM ★ 59K category AI & Machine Learning

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Side by side

ponytail LiteLLM
GitHub stars ★ 141K ★ 59K
License MIT Custom / other
Written in JavaScript Python
Last push 2026-09-14 2026-09-17
Forks ⑂ 7.6K ⑂ 12K
Self-hosting Yes Yes
Data ownership Your server Your server

pick ponytail if

  • You weight community size — 141K stars and counting
  • You want the MIT license terms
  • Your stack matches JavaScript
  • You value the larger contributor base for long-term maintenance

full ponytail profile →

pick LiteLLM if

  • You want the LiteLLM feature set and don't need the biggest community
  • You prefer the Custom / other license terms
  • Your stack matches Python
  • You evaluated both and LiteLLM fits your workflow better

full LiteLLM profile →

About ponytail

Ponytail is an open source agent skill for JavaScript and LLM based coding tools that makes an AI agent write the minimum working code for a task, and it is built for developers and teams running agents such as Claude Code, Codex, or Cursor against real repositories.

read the full ponytail overview →

About LiteLLM

LiteLLM is an open source AI gateway that provides a unified interface to call over 100 large language model (LLM) providers—including OpenAI, Anthropic, Azure OpenAI, Amazon Bedrock, Google VertexAI, and vLLM—using the OpenAI compatible API format. It runs as both a Python SDK for direct integration and as a standalone proxy server for centralized, team or organization wide use.

read the full LiteLLM overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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dify vs ponytail langchain vs ponytail ponytail vs graphify dify vs langchain dify vs graphify langchain vs graphify dify vs claude-mem dify vs ragflow openclaw vs hermes-agent openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm openclaw vs cherry-studio openclaw vs nanobot openclaw vs jan openclaw vs librechat ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai llama-cpp vs vllm ollama vs pageindex ollama vs langfuse

More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

ponytail vs Dify ponytail vs langchain ponytail vs generative-ai-for-beginners ponytail vs graphify ponytail vs claude-mem ponytail vs ragflow ponytail vs PaddleOCR ponytail vs Agent-Reach ponytail vs headroom ponytail vs Mem0 ponytail vs daily_stock_analysis ponytail vs Multica

Frequently asked questions

Is ponytail or LiteLLM more popular?

ponytail has 141,230 GitHub stars and LiteLLM has 59,003. ponytail has the larger community by that measure.

Are ponytail and LiteLLM free?

Both are open source. ponytail is licensed under MIT, and LiteLLM has no licence declared in this registry. Both are free to self-host.

What is the difference between ponytail and LiteLLM?

ponytail is written in JavaScript and LiteLLM in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, ponytail or LiteLLM?

Choose ponytail if you want the larger community (141,230 stars) or its MIT licence terms. Choose LiteLLM if its feature set, stack or Custom / other licence fits better. Both are self-hostable.