head to head · open source
Dify vs langtrace
Dify has 160,251 GitHub stars, 25,336 forks, 1,067 open issues and last shipped yesterday. langtrace has 1,233 stars, 128 forks, 2 open issues and last shipped 12 months ago. Dify leads on adoption by 12,897% (160,251 vs 1,233 stars). Dify is written in Python under a custom or non-standard licence; langtrace is written in TypeScript under AGPL-3.0. Dify has attracted 16% as many forks as stars, langtrace 10%. Dify was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (ai, gpt, 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.
← all 20902 open source comparisons
Side by side
| Dify | langtrace | |
|---|---|---|
| GitHub stars | ★ 160K | ★ 1.2K |
| License | Custom / other | AGPL-3.0 |
| Written in | Python | TypeScript |
| Last push | 2026-11-02 | 2025-11-17 |
| Forks | ⑂ 25K | ⑂ 128 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Dify if
- You weight community size — 160K stars and counting
- You want the Custom / other license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
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
About Dify
Dify Cloud · Self hosting · Documentation · Dify edition overview Dify is an open source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features: Quick start Before installing Dify, make sure your machine meets the following minimum system requirements: CPU = 2 Core RAM = 4 GiB The easiest way to start the Dify server is through Docker Compose. Before running Dify with the…
About langtrace
Langtrace Open Source Observability for LLM Applications 📚 Table of Contents ✨ Features 🚀 Quick Start 🔗 Integrations 🌐 Getting Started 🏠 Self Hosting 📐 Architecture 🤝 Contributing 🔒 Security ❓ FAQ 👥 Contributors 📜 License Langtrace is an open source observability software which lets you capture, debug and analyze traces and metrics from all your applications that leverages LLM APIs, Vector Databases and LLM based Frameworks. ✨ Features 📊 Open Telemetry Support : Built on OTEL standards for comprehensive tracing 🔄 Real time Monitoring : Track LLM API calls, vector operations, and framework usage 🎯…
read the full langtrace overview →
More in AI & Machine Learning
Related comparisons
More AI Development Platforms projects
Compare either of these against the rest of the AI Development Platforms field.
Frequently asked questions
Is Dify or langtrace more popular?
Dify has 160,251 GitHub stars and langtrace has 1,233. Dify has the larger community by that measure.
Are Dify and langtrace free?
Both are open source. Dify has no licence declared in this registry, and langtrace is licensed under AGPL-3.0. Both are free to self-host.
What is the difference between Dify and langtrace?
Dify is written in Python 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, Dify or langtrace?
Choose Dify if you want the larger community (160,251 stars) or its Custom / other licence terms. Choose langtrace if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.