Alternatives to Active Admin logo

Alternatives to Active Admin

Devise, Slick, Sequel Pro, PostGIS, and Open PostgreSQL Monitoring are the most popular alternatives and competitors to Active Admin.
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What is Active Admin and what are its top alternatives?

Active Admin is a Ruby on Rails framework for creating elegant backends for website administration.
Active Admin is a tool in the Database Tools category of a tech stack.
Active Admin is an open source tool with 8.6K GitHub stars and 3.1K GitHub forks. Here’s a link to Active Admin's open source repository on GitHub

Active Admin alternatives & related posts

Devise logo

Devise

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Flexible authentication solution for Rails with Warden
Devise logo
Devise
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Active Admin

related Devise posts

Jerome Dalbert
Jerome Dalbert
Senior Backend Engineer at StackShare · | 4 upvotes · 41.3K views
atStackShareStackShare
OmniAuth
OmniAuth
Devise
Devise
Ruby
Ruby

We use OmniAuth with Devise to authenticate users via Twitter, GitHub, Bitbucket and Gitlab. Adding a new OmniAuth authentication provider is basically as easy as adding a new Ruby gem!

The only drawback I could see is that your OmniAuth+Devise OmniauthCallbacksController redirection logic can easily get hairy over time. So you have to be vigilant to keep it in check.

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Slick logo

Slick

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0
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Database query and access library for Scala
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    Slick logo
    Slick
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    Active Admin
    Sequel Pro logo

    Sequel Pro

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    MySQL database management for Mac OS X
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    Sequel Pro
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    Active Admin
    PostGIS logo

    PostGIS

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    Open source spatial database
    PostGIS logo
    PostGIS
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    Active Admin logo
    Active Admin
    Open PostgreSQL Monitoring logo

    Open PostgreSQL Monitoring

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    Oversee and Manage Your PostgreSQL Servers
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      Open PostgreSQL Monitoring logo
      Open PostgreSQL Monitoring
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      Active Admin logo
      Active Admin

      related Flyway posts

      Miguel Suarez
      Miguel Suarez
      Lead Developer · | 8 upvotes · 84.8K views
      atJobsrepublicJobsrepublic
      Flyway
      Flyway
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      PostgreSQL
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      #Migration
      #Backwards-compatible

      Flyway vs Liquibase #Migration #Backwards-compatible

      We were looking for a tool to help us integrating the migration scripts as part of our Deployment. At first sight both tools look very alike, are well integrated with Spring, have a fairly frequent development activity and short release cycles.

      Liquibase puts a lot of emphasis on independence with the DB, allowing you to create the scripts on formats like JSON and YML, abstracting away from SQL, which it's also supported. Since we only work with one DB type across services we wouldn't take much advantage of this feature.

      Flyway on the other hand has the advantage on being actively working on the integration with PostgreSQL 11, for it's upcoming version 6. Provides a more extensive set of properties that allow us to define what's allowed on what's not on each different environment.

      Instead of looking for a tool that will allow us to rollback our DB changes automatically, we decided to implement backwards-compatible DB changes, for example adding a new column instead of renaming an existing one, postponing the deletion of the deprecated column until the release has been successfully installed.

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      Liquibase logo

      Liquibase

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      Source control for your database
      Liquibase logo
      Liquibase
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      Miguel Suarez
      Miguel Suarez
      Lead Developer · | 8 upvotes · 84.8K views
      atJobsrepublicJobsrepublic
      Flyway
      Flyway
      Liquibase
      Liquibase
      PostgreSQL
      PostgreSQL
      #Migration
      #Backwards-compatible

      Flyway vs Liquibase #Migration #Backwards-compatible

      We were looking for a tool to help us integrating the migration scripts as part of our Deployment. At first sight both tools look very alike, are well integrated with Spring, have a fairly frequent development activity and short release cycles.

      Liquibase puts a lot of emphasis on independence with the DB, allowing you to create the scripts on formats like JSON and YML, abstracting away from SQL, which it's also supported. Since we only work with one DB type across services we wouldn't take much advantage of this feature.

      Flyway on the other hand has the advantage on being actively working on the integration with PostgreSQL 11, for it's upcoming version 6. Provides a more extensive set of properties that allow us to define what's allowed on what's not on each different environment.

      Instead of looking for a tool that will allow us to rollback our DB changes automatically, we decided to implement backwards-compatible DB changes, for example adding a new column instead of renaming an existing one, postponing the deletion of the deprecated column until the release has been successfully installed.

      See more
      DataGrip logo

      DataGrip

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      A database IDE for professional SQL developers
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        DataGrip logo
        DataGrip
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        Active Admin
        Spring Data logo

        Spring Data

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        Provides a consistent approach to data access – relational, non-relational, map-reduce, and beyond
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          MySQL WorkBench logo

          MySQL WorkBench

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          A unified visual tool for database architects, developers, and DBAs
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            related Knex.js posts

            Tim Nolet
            Tim Nolet
            Founder, Engineer & Dishwasher at Checkly · | 19 upvotes · 275.7K views
            atChecklyHQChecklyHQ
            Heroku
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            Docker
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            Knex.js
            Knex.js
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            vuex

            Heroku Docker GitHub Node.js hapi Vue.js AWS Lambda Amazon S3 PostgreSQL Knex.js Checkly is a fairly young company and we're still working hard to find the correct mix of product features, price and audience.

            We are focussed on tech B2B, but I always wanted to serve solo developers too. So I decided to make a $7 plan.

            Why $7? Simply put, it seems to be a sweet spot for tech companies: Heroku, Docker, Github, Appoptics (Librato) all offer $7 plans. They must have done a ton of research into this, so why not piggy back that and try it out.

            Enough biz talk, onto tech. The challenges were:

            • Slice of a portion of the functionality so a $7 plan is still profitable. We call this the "plan limits"
            • Update API and back end services to handle and enforce plan limits.
            • Update the UI to kindly state plan limits are in effect on some part of the UI.
            • Update the pricing page to reflect all changes.
            • Keep the actual processing backend, storage and API's as untouched as possible.

            In essence, we went from strictly volume based pricing to value based pricing. Here come the technical steps & decisions we made to get there.

            1. We updated our PostgreSQL schema so plans now have an array of "features". These are string constants that represent feature toggles.
            2. The Vue.js frontend reads these from the vuex store on login.
            3. Based on these values, the UI has simple v-if statements to either just show the feature or show a friendly "please upgrade" button.
            4. The hapi API has a hook on each relevant API endpoint that checks whether a user's plan has the feature enabled, or not.

            Side note: We offer 10 SMS messages per month on the developer plan. However, we were not actually counting how many people were sending. We had to update our alerting daemon (that runs on Heroku and triggers SMS messages via AWS SNS) to actually bump a counter.

            What we build is basically feature-toggling based on plan features. It is very extensible for future additions. Our scheduling and storage backend that actually runs users' monitoring requests (AWS Lambda) and stores the results (S3 and Postgres) has no knowledge of all of this and remained unchanged.

            Hope this helps anyone building out their SaaS and is in a similar situation.

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            Tim Nolet
            Tim Nolet
            Founder, Engineer & Dishwasher at Checkly · | 10 upvotes · 42.3K views
            atChecklyHQChecklyHQ
            PostgreSQL
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            Heroku
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            Heroku Postgres
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            Knex.js
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            PostgreSQL Heroku Heroku Postgres Node.js Knex.js

            Last week we rolled out a simple patch that decimated the response time of a Postgres query crucial to Checkly. It quite literally went from an average of ~100ms with peaks to 1 second to a steady 1ms to 10ms.

            However, that patch was just the last step of a longer journey:

            1. I looked at what API endpoints were using which queries and how their response time grew over time. Specifically the customer facing API endpoints that are directly responsible for rendering the first dashboard page of the product are crucial.

            2. I looked at the Heroku metrics such as those reported by heroku pg:outlier and cross references that with "slowest response time" statistics.

            3. I reproduced the production situation as best as possible on a local development machine and test my hypothesis that an composite index on a uuid field and a timestampz field would reduce response times.

            This method secured the victory and we rolled out a new index last week. Response times plummeted. Read the full story in the blog post.

            See more
            Microsoft SQL Server Management Studio logo

            Microsoft SQL Server Management Studio

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            An integrated environment for managing any SQL infrastructure
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              phpMyAdmin logo

              phpMyAdmin

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              A free software, for MySQL and MariaDB
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                DBeaver logo

                DBeaver

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                A Universal Database Tool
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                  GraphiQL logo

                  GraphiQL

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                  An in-browser IDE for exploring GraphQL
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                  Jerome Dalbert
                  Senior Backend Engineer at StackShare · | 3 upvotes · 37.1K views
                  GraphQL
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                  Insomnia REST Client
                  Insomnia REST Client
                  #REST
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                  Postman is a nice desktop #REST #API client that allows you to save requests for later use. But it does not really support GraphQL, which I use everyday at work. So it was time to look for something else.

                  GraphiQL is a nice toy that has a desktop client, but you cannot save requests in any organized way. Most other clients I tried were either sluggish, didn't save requests, or didn't support cookies. Lack of cookie support is a no-no for work because we use session-based authentication in our internal API.

                  Then I stumbled upon Insomnia REST Client, and it clicked! Cookies work, GraphQL support is pretty good, UI looks nice and goes straight to the point. The only thing it lacks is a schema explorer, but I can always use GraphiQL if I ever need one, which is almost never.

                  Overall, I am very happy with it, and would recommend it to anyone seriously working with GraphQL. Insomnia is a godsend!

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                  Android Room logo

                  Android Room

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                  Save data in a local database
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                    TablePlus logo

                    TablePlus

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                    Easily edit database data and structure
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                    MongoDB Compass

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                    A GUI for MongoDB
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