head to head · open source

ponytail vs langtrace

ponytail has 141,230 GitHub stars, 7,572 forks, 270 open issues and last shipped 4 days ago. langtrace has 1,231 stars, 127 forks, 2 open issues and last shipped 10 months ago. ponytail leads on adoption by 11,373% (141,230 vs 1,231 stars). ponytail is written in JavaScript under MIT; langtrace is written in TypeScript under AGPL-3.0. ponytail has attracted 5% as many forks as stars, langtrace 10%. ponytail 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 langtrace ★ 1.2K category AI & Machine Learning

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Side by side

ponytail langtrace
GitHub stars ★ 141K ★ 1.2K
License MIT AGPL-3.0
Written in JavaScript TypeScript
Last push 2026-09-14 2025-11-17
Forks ⑂ 7.6K ⑂ 127
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 langtrace if

  • You want the langtrace feature set and don't need the biggest community
  • You prefer the AGPL-3.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and langtrace fits your workflow better

full langtrace 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 langtrace

Langtrace is an open source, OpenTelemetry based end to end observability tool for LLM applications that captures and analyzes real time traces, evaluations and metrics across LLM APIs, vector databases and LLM frameworks, and it is aimed at developers and LLMOps teams who need to see what their LLM backed applications are actually doing in production.

read the full langtrace overview →

More in AI & Machine Learning

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

Related comparisons

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 LiteLLM

Frequently asked questions

Is ponytail or langtrace more popular?

ponytail has 141,230 GitHub stars and langtrace has 1,231. ponytail has the larger community by that measure.

Are ponytail and langtrace free?

Both are open source. ponytail is licensed under MIT and langtrace under AGPL-3.0. Neither carries a licence fee.

What is the difference between ponytail and langtrace?

ponytail is written in JavaScript and langtrace in TypeScript. 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 langtrace?

Choose ponytail if you want the larger community (141,230 stars) or its MIT licence terms. Choose langtrace if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.