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volaland is a Scala library for working with Spark using geo spatial time series blockchain with proof of time&location consensus protocol.

It consists of the following modules:

  • gtb-dataset for the spatial time series blockchain Dataset API
  • gtb-ml for the Spark ML API based on gtb-dataset

Related projects and algorithms

A Time Series Library for Apache Spark

Geo Spatial Data Analytics on Spark

TransmogrifAI for building strongly typed machine learning workflows on Spark

Frameless library for working with Spark using more expressive types

Hyperledger

Community detection

GraphQL and time-series data

Quick Start

volaland is compiled against Scala 2.11.x.

Need help?

Feel free to messages us on our gitter channel for any issues/questions.

License

Code is provided under the Apache 2.0 license available at http://opensource.org/licenses/Apache-2.0, as well as in the LICENSE file. This is the same license used as Spark.

volaland's Projects

geomesa icon geomesa

GeoMesa is a suite of tools for working with big geo-spatial data in a distributed fashion.

geowave icon geowave

GeoWave provides geospatial and temporal indexing on top of Accumulo, HBase, BigTable, Cassandra, Kudu, Redis, RocksDB, and DynamoDB.

h3 icon h3

Hexagonal hierarchical geospatial indexing system

llama_index icon llama_index

LlamaIndex (formerly GPT Index) is a data framework for your LLM applications

odoo icon odoo

Odoo. Open Source Apps To Grow Your Business.

reconartist icon reconartist

Identifying wiki teams' ideological bias for artists

scrapy-cluster icon scrapy-cluster

This Scrapy project uses Redis and Kafka to create a distributed on demand scraping cluster.

volaland icon volaland

Geo-spatial time-series tamper-proof models

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