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Forest

Stacks22

Followers44

+ 1

Votes3

Pome

Stacks3

Followers7

+ 1

Votes0

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Forest vs Pome: What are the differences?

Forest: 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; Pome: Postgres monitoring dashboard. Pome stands for Postgres Metrics. Pome is a PostgreSQL Metrics Dashboard to keep track of the health of your database. This project is at a very early stage and there are a lot of missing features, but I'm hoping to be able to make the project progress quickly.

Forest and Pome can be primarily classified as "Database" tools.

Pome is an open source tool with 1.07K GitHub stars and 41 GitHub forks. Here's a link to Pome's open source repository on GitHub.

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Pros of Forest

Pros of Pome

2
Quick setup
1
Customizable

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107

166

- No public GitHub repository available -

1.1K

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 Pome?

Pome stands for Postgres Metrics. Pome is a PostgreSQL Metrics Dashboard to keep track of the health of your database. This project is at a very early stage and there are a lot of missing features, but I'm hoping to be able to make the project progress quickly.

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What companies use Forest?

What companies use Pome?

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What tools integrate with Forest?

What tools integrate with Pome?

PostgreSQL

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What are some alternatives to Forest and Pome?

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.

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

Redis

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.

See all alternatives

Forest vs Pome

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Pros of Forest

Pros of Pome

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What is Forest?

What is Pome?

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What companies use Forest?

What companies use Pome?

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What tools integrate with Forest?

What tools integrate with Pome?

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