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Forest

22
44
+ 1
3
Jungle

37
43
+ 1
0
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Forest vs Jungle: What are the differences?

Developers describe Forest as "A universal admin interface designed to manage all your application data and business operations". Install the Forest agent in your application to analyze your data models and instantly set up an admin interface. Connect your 3rd party services to create intelligent consistency between all your data without needing to change context. On the other hand, Jungle is detailed as "*Simple CLI for AWS operations *". awscli is by far the most comprehensive CLI tool manipulating various AWS services, and I really like its flexible options and up-to-date release cycle. However, day-to-day AWS operations from my terminal don't need that much flexibility and that many services.

Forest and Jungle are primarily classified as "Database" and "Platform as a Service" tools respectively.

Jungle is an open source tool with 842 GitHub stars and 41 GitHub forks. Here's a link to Jungle's open source repository on GitHub.

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Pros of Forest
Pros of Jungle
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    Quick setup
  • 1
    Customizable
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    - No public GitHub repository available -

    What is Forest?

    Forest Admin does all the heavy lifting of building the admin panel of your web application and provides an API-based framework to implement all your specific business processes.

    What is Jungle?

    awscli is by far the most comprehensive CLI tool manipulating various AWS services, and I really like its flexible options and up-to-date release cycle. However, day-to-day AWS operations from my terminal don't need that much flexibility and that many services.

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      What are some alternatives to Forest and Jungle?
      Slick
      It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
      DataGrip
      A cross-platform IDE that is aimed at DBAs and developers working with SQL databases.
      Spring Data
      It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
      Microsoft SQL Server Management Studio
      It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts.
      DBeaver
      It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.
      See all alternatives