DataExpert-io/data-engineer-handbook is tracked as a Jupyter Notebook project in the Data Tool area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 44k total stars, with +0 today, +781 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Moderate; the latest push was 71 days ago, and the open issue queue is 45, about 0.10% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 9.1k forks and 44k watchers suggest how often the project is reused or followed. License signal: No license specified. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need Jupyter Notebook teams evaluating ecosystem-native tooling. Be cautious when you need clear license metadata before internal adoption.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 781. Follow the original GitHub repository for final install, security, and release information.