deepsense-ai / seahorseLinks
☆107Updated 2 years ago
Alternatives and similar repositories for seahorse
Users that are interested in seahorse are comparing it to the libraries listed below
Sorting:
- HopsWorks - Hadoop for Humans☆117Updated 6 years ago
- Machine Learning Pipeline Stages for Spark (exposed in Scala/Java + Python)☆74Updated last year
- Support Highcharts in Apache Zeppelin☆81Updated 7 years ago
- ☆41Updated 8 years ago
- Serverless proxy for Spark cluster☆325Updated 4 years ago
- Spark package for checking data quality☆221Updated 5 years ago
- Gallery of Apache Zeppelin notebooks☆216Updated 6 years ago
- Build configuration-driven ETL pipelines on Apache Spark☆160Updated 2 years ago
- Sparkline BI Accelerator provides fast ad-hoc query capability over Logical Cubes. This has been folded into our SNAP Platform(http://bit…☆282Updated 7 years ago
- Simple Spark example of generating table stats for use of data quality checks☆28Updated 8 years ago
- Structured Streaming Machine Learning example with Spark 2.0☆92Updated 8 years ago
- Live-updating Spark UI built with Meteor☆189Updated 4 years ago
- Visualize streaming machine learning in Spark☆177Updated 8 years ago
- Spark Implementation of Google Facets Overview https://github.com/PAIR-code/facets☆54Updated last year
- Spark ML Lib serving library☆48Updated 7 years ago
- PMML evaluator library for the Apache Spark cluster computing system (http://spark.apache.org/)☆94Updated 3 years ago
- Drizzle integration with Apache Spark☆120Updated 6 years ago
- Implementations of the Portable Format for Analytics (PFA)☆127Updated 2 years ago
- Enabling Spark Optimization through Cross-stack Monitoring and Visualization☆47Updated 7 years ago
- Spark Extension : ML transformers, SQL aggregations, etc that are missing in Apache Spark☆147Updated 9 years ago
- A library for exporting Spark ML models and pipelines to PFA☆54Updated 6 years ago
- ☆110Updated 8 years ago
- Scripts for generating Grafana dashboards for monitoring Spark jobs☆242Updated 10 years ago
- DataQuality for BigData☆144Updated last year
- Simplify getting Zeppelin up and running☆56Updated 9 years ago
- MLeap allows for easily putting Spark ML pipelines into production☆78Updated 8 years ago
- Mirror of Apache DataFu☆119Updated 2 months ago
- An Integrated and collaborative cloud environment for building and running Spark applications on PKS/Kubernetes☆84Updated 5 years ago
- Ambari service for Apache Zeppelin notebook☆71Updated 7 years ago
- ☆71Updated 4 years ago