head to head · open source
ponytail vs LiteLLM
ponytail has 183,878 GitHub stars, 10,143 forks, 270 open issues and last shipped 6 days ago. LiteLLM has 62,660 stars, 12,994 forks, 5,022 open issues and last shipped today. ponytail leads on adoption by 193% (183,878 vs 62,660 stars). ponytail is written in JavaScript under MIT; LiteLLM is written in Python under a custom or non-standard licence. ponytail has attracted 6% as many forks as stars, LiteLLM 21%. 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.
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Side by side
| ponytail | LiteLLM | |
|---|---|---|
| GitHub stars | ★ 184K | ★ 63K |
| License | MIT | Custom / other |
| Written in | JavaScript | Python |
| Last push | 2026-10-29 | 2026-11-04 |
| Forks | ⑂ 10K | ⑂ 13K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick ponytail if
- You weight community size — 184K stars and counting
- You want the MIT license terms
- Your stack matches JavaScript
- You value the larger contributor base for long-term maintenance
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
About ponytail
Ponytail He says nothing. He writes one line. It works. 54% less code (up to 94%) · 20% cheaper · 27% faster · 100% safe Measured on real Claude Code sessions editing a real open source repo (FastAPI + React), against the same agent with no skill. 54% is the mean across 12 feature tasks (Haiku 4.5, n=4); it reaches 94% where an agent over builds (a date picker) and is near zero where the code is already minimal. ponytail keeps every safety guard while a bare "write one liners" prompt drops one. (The earlier single shot benchmark reported 80 94% as a flat figure; against a fair agentic…
read the full ponytail overview →
About LiteLLM
🚅 LiteLLM LiteLLM AI Gateway Open Source AI Gateway for 100+ LLMs. Self hosted. Enterprise ready. Call any LLM in OpenAI format. LiteLLM Proxy Server (AI Gateway) Hosted Proxy Enterprise Tier Website What is LiteLLM LiteLLM is an open source AI Gateway that gives you a single, unified interface to call 100+ LLM providers — OpenAI, Anthropic, Gemini, Bedrock, Azure, and more — using the OpenAI format. Use it as a Python SDK for direct library integration, or deploy the AI Gateway (Proxy Server) as a centralized service for your team or organization. Jump to LiteLLM Proxy (LLM Gateway) Docs Jump to Supported LLM…
read the full LiteLLM overview →
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Frequently asked questions
Is ponytail or LiteLLM more popular?
ponytail has 183,878 GitHub stars and LiteLLM has 62,660. 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 (183,878 stars) or its MIT licence terms. Choose LiteLLM if its feature set, stack or Custom / other licence fits better. Both are self-hostable.