firebase-database VS hlivy

Compare firebase-database vs hlivy and see what are their differences.

firebase-database

Firebase Database SDK (Haskell) (by nghamilton)

hlivy

Haskell bindings to the Apache Livy REST API (by EarnestResearch)
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firebase-database hlivy
- -
0 7
- -
0.0 0.0
almost 6 years ago 5 months ago
Haskell Haskell
LicenseRef-OtherLicense MIT License
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.

firebase-database

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

We haven't tracked posts mentioning firebase-database yet.
Tracking mentions began in Dec 2020.

hlivy

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

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

What are some alternatives?

When comparing firebase-database and hlivy you can also consider the following projects:

haskell-mpi - MPI bindings for Haskell

distributed-process-task - Cloud Haskell Task Execution Framework

linode - Haskell bindings to the Linode API

distributed-process-lifted - A generalization of distributed-process functions to a MonadProcess typeclass and standard transformer instances using monad-control and similar technique.

sparkle - Haskell on Apache Spark.

api-tools - A Haskell embedded DSL for generating an API's JSON wrappers and documentation.

distributed-process-tests - Cloud Haskell core library

task-distribution - A framework for distributing Haskell tasks running on HDFS data using Cloud Haskell. The goal is speedup through distribution on clusters using regular hardware. This framework provides different, simple workarounds to transport new code to other cluster nodes.

distributed-process-systest - Testing Tools and Capabilities for Cloud Haskell