FACTORIE VS Apache Spark

Compare FACTORIE vs Apache Spark and see what are their differences.

FACTORIE

FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference. (by factorie)

Apache Spark

Apache Spark - A unified analytics engine for large-scale data processing (by apache)
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FACTORIE Apache Spark
0 48
556 32,903
0.0% 1.6%
0.0 10.0
over 4 years ago 3 days ago
Scala Scala
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

FACTORIE

Posts with mentions or reviews of FACTORIE. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning FACTORIE yet.
Tracking mentions began in Dec 2020.

Apache Spark

Posts with mentions or reviews of Apache Spark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-10.

What are some alternatives?

When comparing FACTORIE and Apache Spark you can also consider the following projects:

Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

Scalding - A Scala API for Cascading

mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services

luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

Smile - Statistical Machine Intelligence & Learning Engine

Weka

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

Apache Calcite - Apache Calcite

Scio - A Scala API for Apache Beam and Google Cloud Dataflow.

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.