JupyterLab vs Langfuse
Both are self-hosted software development - ide & tools projects. This page compares how well each one is actually maintained — the part you cannot see from a feature list.
| JupyterLab | Langfuse | |
|---|---|---|
| Health score | 77/100 | 97/100 |
| Commits (11 mo) | 570 | 3822 |
| Commits (last 3 mo) | 146 | 1807 |
| Stars | 15k | 35k |
| Latest release | 21 Sept 2026 | 25 Sept 2026 |
| Licence | BSD-3-Clause | MIT |
| Built with | Python, Docker | Docker |
| Typical RAM | 1 GB | 2 GB |
JupyterLab
Web-based environment for interactive and reproducible computing.
Actively maintained with regular releases.
Commit activity more than 67% of tracked projects; popularity more than 85%. How this is calculated.
Commits, last 11 months
Langfuse
LLM engineering platform for model tracing, prompt management, and application evaluation. Langfuse helps teams collaboratively debug, analyze, and iterate on their LLM applications such as chatbots or AI agents.
High commit volume, frequent releases and growing activity.
Commit activity more than 95% of tracked projects; popularity more than 93%. How this is calculated.
Commits, last 11 months
How to read this
Everything above is measured, not opinion: commit counts and release dates come from the public repositories, and the health score ranks each project against all 1352 projects we track. Read the full method.
What this comparison deliberately does not do is tell you which has the better feature set. Maintenance health tells you which project will still be receiving security fixes in two years. Decide that first, then compare features on the projects that survive the filter.
See every option in this category: self-hosted software development - ide & tools.