Popularity

2.1

Stable

Activity

0.0

Stable

Stars 21

Watchers 9

Forks 5

Last Commit

Description

The underlying purpose of RasterFrames is to allow data scientists and software developers to process and analyze geospatial-temporal raster data with the same flexibility and ease as any other Spark Catalyst data type.

Programming language: Scala

Tags: Image Processing And Image Analysis Science And Data Analysis Big Data Machine Learning Spark Geospatial

Latest version: v0.6.1

raster-frames alternatives and similar packages

Based on the "Big Data" category.
Alternatively, view raster-frames alternatives based on common mentions on social networks and blogs.

Kafka

10.0 9.9 L2 raster-frames VS Kafka

Mirror of Apache Kafka
Apache Spark

10.0 10.0 raster-frames VS Apache Spark

Apache Spark - A unified analytics engine for large-scale data processing

InfluxDB - Power Real-Time Data Analytics at Scale

Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

Promo www.influxdata.com

Flink

9.9 9.9 L2 raster-frames VS Flink

Apache Flink
Deeplearning4J

9.9 6.5 L1 raster-frames VS Deeplearning4J

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
Scalding

9.6 2.5 raster-frames VS Scalding

A Scala API for Cascading
Scio

9.3 9.6 raster-frames VS Scio

A Scala API for Apache Beam and Google Cloud Dataflow.
Summingbird

9.3 1.7 raster-frames VS Summingbird

Streaming MapReduce with Scalding and Storm
Reactive-kafka

8.9 8.2 raster-frames VS Reactive-kafka

Alpakka Kafka connector - Alpakka is a Reactive Enterprise Integration library for Java and Scala, based on Reactive Streams and Akka.
Jupyter Scala

8.7 9.0 raster-frames VS Jupyter Scala

A Scala kernel for Jupyter
Hail

8.3 9.8 raster-frames VS Hail

Cloud-native genomic dataframes and batch computing
BIDMach

8.3 0.0 raster-frames VS BIDMach

CPU and GPU-accelerated Machine Learning Library
Gearpump

8.1 0.0 raster-frames VS Gearpump

Lightweight real-time big data streaming engine over Akka
Sparkta

8.0 0.0 raster-frames VS Sparkta

Real Time Analytics and Data Pipelines based on Spark Streaming
Vegas

7.5 0.0 raster-frames VS Vegas

The missing MatPlotLib for Scala + Spark
metorikku

7.4 2.4 raster-frames VS metorikku

A simplified, lightweight ETL Framework based on Apache Spark
Scoobi

6.8 0.0 raster-frames VS Scoobi

A Scala productivity framework for Hadoop.
Scrunch

5.1 1.4 L3 raster-frames VS Scrunch

Mirror of Apache Crunch (Incubating)
Scoozie

4.7 0.0 raster-frames VS Scoozie

Scala DSL on top of Oozie XML
Schemer

3.5 0.0 raster-frames VS Schemer

Schema registry for CSV, TSV, JSON, AVRO and Parquet schema. Supports schema inference and GraphQL API.
spark-deployer

3.4 0.0 raster-frames VS spark-deployer

Deploy Spark cluster in an easy way.
GridScale

2.2 6.6 raster-frames VS GridScale

Scala library for accessing various file, batch systems, job schedulers and grid middlewares.
Spark Utils

2.0 3.8 raster-frames VS Spark Utils

Basic framework utilities to quickly start writing production ready Apache Spark applications
Sparkplug

1.8 0.0 raster-frames VS Sparkplug

Spark package to "plug" holes in data using SQL based rules ⚡️ 🔌
Shadoop

1.3 0.0 raster-frames VS Shadoop

A wrapper for Hadoop in Scala
Spark Tools

1.0 0.0 raster-frames VS Spark Tools

Executable Apache Spark Tools: Format Converter & SQL Processor