zeppelin

Why we included this project

Apache Zeppelin is one of the older notebook projects in the big-data world, and its design still holds up well. You write each analysis as a paragraph in a browser and tag it with an interpreter such as Spark, PySpark, JDBC, or Hive, so a single document can mix SQL against different databases with Scala or Spark code beside it. That interpreter model is the real draw: one environment reaches many backends without rewriting the analysis, and teammates can run or edit the same paragraphs rather than passing SQL snippets around in scripts and emails. It is a good fit for analysts and engineers who want reproducible, shareable data work and already live in the Spark/JVM ecosystem. Because it is an Apache project, you can also self-host it from a binary package or a source build if you want to avoid depending on a hosted notebook service.