head to head · open source

ponytail vs liteflow

ponytail has 141,465 GitHub stars, 7,581 forks, 270 open issues and last shipped 5 days ago. liteflow has 3,860 stars, 526 forks, 64 open issues and last shipped 2 months ago. ponytail leads on adoption by 3,565% (141,465 vs 3,860 stars). ponytail is written in JavaScript under MIT; liteflow is written in Java under Apache-2.0. ponytail has attracted 5% as many forks as stars, liteflow 14%. ponytail was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), 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 liteflow ★ 3.9K category AI & Machine Learning

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Side by side

ponytail liteflow
GitHub stars ★ 141K ★ 3.9K
License MIT Apache-2.0
Written in JavaScript Java
Last push 2026-09-14 2026-07-31
Forks ⑂ 7.6K ⑂ 526
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 liteflow if

  • You want the liteflow feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Java
  • You evaluated both and liteflow fits your workflow better

full liteflow 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 liteflow

LiteFlow is an Apache 2.0 licensed, Java based component rule engine that drives complex business orchestration from a small DSL rule file — and, since v2.16.0, treats an AI Agent as a first class citizen that can be orchestrated shoulder to shoulder with ordinary business nodes.

read the full liteflow overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

Related comparisons

dify vs ponytail openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs lobechat openclaw vs anythingllm hermes-agent vs opencode hermes-agent vs n8n openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all llama-cpp vs vllm

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 liteflow more popular?

ponytail has 141,465 GitHub stars and liteflow has 3,860. ponytail has the larger community by that measure.

Are ponytail and liteflow free?

Both are open source. ponytail is licensed under MIT and liteflow under Apache-2.0. Neither carries a licence fee.

What is the difference between ponytail and liteflow?

ponytail is written in JavaScript and liteflow in Java. 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 liteflow?

Choose ponytail if you want the larger community (141,465 stars) or its MIT licence terms. Choose liteflow if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.