Alternatives to ent logo

Alternatives to ent

ExpressJS, Flask, Django REST framework, Hibernate, and Prisma are the most popular alternatives and competitors to ent.
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What is ent and what are its top alternatives?

It is a simple, yet powerful entity framework for Go, that makes it easy to build and maintain applications with large data-models.
ent is a tool in the Object Relational Mapper (ORM) category of a tech stack.
ent is an open source tool with GitHub stars and GitHub forks. Here’s a link to ent's open source repository on GitHub

Top Alternatives to ent

  • ExpressJS
    ExpressJS

    Express is a minimal and flexible node.js web application framework, providing a robust set of features for building single and multi-page, and hybrid web applications. ...

  • Flask
    Flask

    Flask is intended for getting started very quickly and was developed with best intentions in mind. ...

  • Django REST framework
    Django REST framework

    It is a powerful and flexible toolkit that makes it easy to build Web APIs.

  • Hibernate
    Hibernate

    Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper. ...

  • Prisma
    Prisma

    Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js. ...

  • Sinatra
    Sinatra

    Sinatra is a DSL for quickly creating web applications in Ruby with minimal effort. ...

  • SQLAlchemy
    SQLAlchemy

    SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL. ...

  • FastAPI
    FastAPI

    It is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints. ...

ent alternatives & related posts

ExpressJS logo

ExpressJS

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Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
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PROS OF EXPRESSJS
  • 380
    Simple
  • 336
    Node.js
  • 244
    Javascript
  • 193
    High performance
  • 152
    Robust routing
  • 73
    Middlewares
  • 71
    Open source
  • 59
    Great community
  • 37
    Hybrid web applications
  • 16
    Well documented
  • 9
    Sinatra inspired
  • 9
    Rapid development
  • 7
    Socket connection
  • 7
    Isomorphic js.. superfast and easy
  • 5
    Light weight
  • 4
    Resource available for learning
  • 4
    Npm
  • 3
    Event loop
  • 3
    Callbacks
  • 2
    Data stream
CONS OF EXPRESSJS
  • 27
    Not python
  • 17
    Overrated
  • 14
    No multithreading
  • 9
    Javascript
  • 5
    Not fast
  • 2
    Easily Insecure for Novices

related ExpressJS posts

Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 27 upvotes · 4.7M views

Our whole Node.js backend stack consists of the following tools:

  • Lerna as a tool for multi package and multi repository management
  • npm as package manager
  • NestJS as Node.js framework
  • TypeScript as programming language
  • ExpressJS as web server
  • Swagger UI for visualizing and interacting with the API’s resources
  • Postman as a tool for API development
  • TypeORM as object relational mapping layer
  • JSON Web Token for access token management

The main reason we have chosen Node.js over PHP is related to the following artifacts:

  • Made for the web and widely in use: Node.js is a software platform for developing server-side network services. Well-known projects that rely on Node.js include the blogging software Ghost, the project management tool Trello and the operating system WebOS. Node.js requires the JavaScript runtime environment V8, which was specially developed by Google for the popular Chrome browser. This guarantees a very resource-saving architecture, which qualifies Node.js especially for the operation of a web server. Ryan Dahl, the developer of Node.js, released the first stable version on May 27, 2009. He developed Node.js out of dissatisfaction with the possibilities that JavaScript offered at the time. The basic functionality of Node.js has been mapped with JavaScript since the first version, which can be expanded with a large number of different modules. The current package managers (npm or Yarn) for Node.js know more than 1,000,000 of these modules.
  • Fast server-side solutions: Node.js adopts the JavaScript "event-loop" to create non-blocking I/O applications that conveniently serve simultaneous events. With the standard available asynchronous processing within JavaScript/TypeScript, highly scalable, server-side solutions can be realized. The efficient use of the CPU and the RAM is maximized and more simultaneous requests can be processed than with conventional multi-thread servers.
  • A language along the entire stack: Widely used frameworks such as React or AngularJS or Vue.js, which we prefer, are written in JavaScript/TypeScript. If Node.js is now used on the server side, you can use all the advantages of a uniform script language throughout the entire application development. The same language in the back- and frontend simplifies the maintenance of the application and also the coordination within the development team.
  • Flexibility: Node.js sets very few strict dependencies, rules and guidelines and thus grants a high degree of flexibility in application development. There are no strict conventions so that the appropriate architecture, design structures, modules and features can be freely selected for the development.
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Repost

Overview: To put it simply, we plan to use the MERN stack to build our web application. MongoDB will be used as our primary database. We will use ExpressJS alongside Node.js to set up our API endpoints. Additionally, we plan to use React to build our SPA on the client side and use Redis on the server side as our primary caching solution. Initially, while working on the project, we plan to deploy our server and client both on Heroku . However, Heroku is very limited and we will need the benefits of an Infrastructure as a Service so we will use Amazon EC2 to later deploy our final version of the application.

Serverside: nodemon will allow us to automatically restart a running instance of our node app when files changes take place. We decided to use MongoDB because it is a non relational database which uses the Document Object Model. This allows a lot of flexibility as compared to a RDMS like SQL which requires a very structural model of data that does not change too much. Another strength of MongoDB is its ease in scalability. We will use Mongoose along side MongoDB to model our application data. Additionally, we will host our MongoDB cluster remotely on MongoDB Atlas. Bcrypt will be used to encrypt user passwords that will be stored in the DB. This is to avoid the risks of storing plain text passwords. Moreover, we will use Cloudinary to store images uploaded by the user. We will also use the Twilio SendGrid API to enable automated emails sent by our application. To protect private API endpoints, we will use JSON Web Token and Passport. Also, PayPal will be used as a payment gateway to accept payments from users.

Client Side: As mentioned earlier, we will use React to build our SPA. React uses a virtual DOM which is very efficient in rendering a page. Also React will allow us to reuse components. Furthermore, it is very popular and there is a large community that uses React so it can be helpful if we run into issues. We also plan to make a cross platform mobile application later and using React will allow us to reuse a lot of our code with React Native. Redux will be used to manage state. Redux works great with React and will help us manage a global state in the app and avoid the complications of each component having its own state. Additionally, we will use Bootstrap components and custom CSS to style our app.

Other: Git will be used for version control. During the later stages of our project, we will use Google Analytics to collect useful data regarding user interactions. Moreover, Slack will be our primary communication tool. Also, we will use Visual Studio Code as our primary code editor because it is very light weight and has a wide variety of extensions that will boost productivity. Postman will be used to interact with and debug our API endpoints.

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Flask logo

Flask

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A microframework for Python based on Werkzeug, Jinja 2 and good intentions
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PROS OF FLASK
  • 14
    Flexibilty
  • 10
    For it flexibility
  • 9
    Flexibilty and easy to use
  • 8
    Flask
  • 7
    User friendly
  • 6
    Secured
  • 5
    Unopinionated
  • 3
    Orm
  • 2
    Secure
  • 1
    Beautiful code
  • 1
    Easy to get started
  • 1
    Easy to develop and maintain applications
  • 1
    Not JS
  • 1
    Easy to use
  • 1
    Documentation
  • 1
    Python
  • 1
    Minimal
  • 1
    Lightweight
  • 1
    Easy to setup and get it going
  • 1
    Perfect for small to large projects with superb docs.
  • 1
    Easy to integrate
  • 1
    Speed
  • 1
    Get started quickly
  • 1
    Customizable
  • 1
    Simple to use
  • 1
    Powerful
  • 1
    Rapid development
  • 0
    Open source
  • 0
    Well designed
  • 0
    Productive
  • 0
    Awesome
  • 0
    Expressive
  • 0
    Love it
CONS OF FLASK
  • 10
    Not JS
  • 7
    Context
  • 5
    Not fast
  • 1
    Don't has many module as in spring

related Flask posts

James Man
Software Engineer at Pinterest · | 45 upvotes · 2.7M views
Shared insights
on
FlaskFlaskReactReact
at

One of our top priorities at Pinterest is fostering a safe and trustworthy experience for all Pinners. As Pinterest’s user base and ads business grow, the review volume has been increasing exponentially, and more content types require moderation support. To solve greater engineering and operational challenges at scale, we needed a highly-reliable and performant system to detect, report, evaluate, and act on abusive content and users and so we created Pinqueue.

Pinqueue-3.0 serves as a generic platform for content moderation and human labeling. Under the hood, Pinqueue3.0 is a Flask + React app powered by Pinterest’s very own Gestalt UI framework. On the backend, Pinqueue3.0 heavily relies on PinLater, a Pinterest-built reliable asynchronous job execution system, to handle the requests for enqueueing and action-taking. Using PinLater has significantly strengthened Pinqueue3.0’s overall infra with its capability of processing a massive load of events with configurable retry policies.

Hundreds of millions of people around the world use Pinterest to discover and do what they love, and our job is to protect them from abusive and harmful content. We’re committed to providing an inspirational yet safe experience to all Pinners. Solving trust & safety problems is a joint effort requiring expertise across multiple domains. Pinqueue3.0 not only plays a critical role in responsively taking down unsafe content, it also has become an enabler for future ML/automation initiatives by providing high-quality human labels. Going forward, we will continue to improve the review experience, measure review quality and collaborate with our machine learning teams to solve content moderation beyond manual reviews at an even larger scale.

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Hey, so I developed a basic application with Python. But to use it, you need a python interpreter. I want to add a GUI to make it more appealing. What should I choose to develop a GUI? I have very basic skills in front end development (CSS, JavaScript). I am fluent in python. I'm looking for a tool that is easy to use and doesn't require too much code knowledge. I have recently tried out Flask, but it is kinda complicated. Should I stick with it, move to Django, or is there another nice framework to use?

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Django REST framework logo

Django REST framework

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Web APIs for Django
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PROS OF DJANGO REST FRAMEWORK
  • 66
    Easy to use
  • 65
    Browsable api
  • 53
    Great documentation
  • 50
    Customizable
  • 42
    Fast development
  • 9
    Easy to use, customizable, pluggable, serializer
  • 8
    Python
  • 7
    Django ORM
  • 5
    FastSerialize
  • 3
    Less code
  • 2
    Easy implementation
CONS OF DJANGO REST FRAMEWORK
  • 2
    Bad documentation
  • 2
    Reimplements Django functionality
  • 1
    No support for URL Namespaces
  • 0
    Bad CSRF handling

related Django REST framework posts

Arjiv Jivithkumar
Junior Product Manager at Vozz · | 13 upvotes · 71.8K views

Hey everyone! I'm planning on building a personal project - this will be my first full-stack project and will be a web app.

The way it will work is that users will be able to post groups. This can be, groups for studying or groups for work, etc. They can also set the desired group size (e.g. limit the group to 3 members). Other users can then join said group - once the group is full, it will automatically close.

What tech stack would you all recommend for this? I have a lot of experience with Django so maybe that will be good for the backend but I'm not sure where to go from there. I've heard using the Django REST framework with a React frontend might be good. Always open to learning new technologies and thanks in advance!

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I am planning on creating an application using the following tech-stack. Vue.js (TypeScript) for the front-end, Django (specifically Django REST framework) for the server-side work, and using PostgreSQL as the database. Is there any reason NOT to use this tech stack mentioned or are there better options? Without giving away too much info, my app will be logging information from the user, displaying this information, setting goals, displaying visual graphs, a friend system where you can add other people etc...

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Hibernate logo

Hibernate

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Idiomatic persistence for Java and relational databases.
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PROS OF HIBERNATE
  • 22
    Easy ORM
  • 8
    Easy transaction definition
  • 3
    Is integrated with spring jpa
CONS OF HIBERNATE
  • 3
    Can't control proxy associations when entity graph used

related Hibernate posts

Prisma logo

Prisma

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Modern Database Access for TypeScript & Node.js
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PROS OF PRISMA
  • 12
    Type-safe database access
  • 10
    Open Source
  • 8
    Auto-generated query builder
  • 6
    Supports multible database systems
  • 6
    Increases confidence during development
  • 4
    Built specifically for Postgres and TypeScript
  • 4
    Productive application development
  • 2
    Supports multible RDBMSs
  • 2
    Robust migrations system
CONS OF PRISMA
  • 2
    Doesn't support downward/back migrations
  • 1
    Doesn't support JSONB
  • 1
    Do not support JSONB
  • 1
    Mutation of JSON is really confusing
  • 1
    Do not support JSONB

related Prisma posts

Divine Bawa
at PayHub Ghana Limited · | 16 upvotes · 481.5K views

I just finished a web app meant for a business that offers training programs for certain professional courses. I chose this stack to test out my skills in graphql and react. I used Node.js , GraphQL , MySQL for the #Backend utilizing Prisma as a database interface for MySQL to provide CRUD APIs and graphql-yoga as a server. For the #frontend I chose React, styled-components for styling, Next.js for routing and SSR and Apollo for data management. I really liked the outcome and I will definitely use this stack in future projects.

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Collins Ogbuzuru
Front-end dev at Evolve credit · | 11 upvotes · 24.2K views
Shared insights
on
GraphQLGraphQLPrismaPrismaAWS LambdaAWS Lambda

We are starting to build one shirt data logic, structure and as an online clothing store we believe good ux and ui is a goal to drive a lot of click through. The problem is, how do we fetch data and how do we abstract the gap between the Front-end devs and backend-devs as we are just two in the technical unit. We decided to go for GraphQL as our application-layer tool and Prisma for our database-layer abstracter.

Reasons :

GraphQL :

  1. GraphQL makes fetching of data less painful and organised.

  2. GraphQL gives you 100% assurance on data you getting back as opposed to the Rest design .

  3. GraphQL comes with a bunch of real-time functionality in form of. subscriptions and finally because we are using React (GraphQL is not React demanding, it's doesn't require a specific framework, language or tool, but it definitely makes react apps fly )

Prisma :

  1. Writing revolvers can be fun, but imagine writing revolvers nested deep down, curry braces flying around. This is sure a welcome note to bugs and as a small team we need to focus more on what that matters more. Prisma generates this necessary CRUD resolves, mutations and subscription out of the box.

  2. We don't really have much budget at the moment so we are going to run our logic in a scalable cheap and cost effective cloud environment. Oh! It's AWS Lambda and deploying our schema to Lambda is our best bet to minimize cost and same time scale.

We are still at development stage and I believe, working on this start up will increase my dev knowledge. Off for Lunch :)

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Sinatra logo

Sinatra

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Classy web-development dressed in a DSL
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PROS OF SINATRA
  • 65
    Lightweight
  • 50
    Simple
  • 35
    Open source
  • 20
    Ruby
  • 13
    Great ecosystem of tools
  • 10
    Ease of use
  • 8
    If you know http you know sinatra
  • 5
    Large Community
  • 5
    Fast
  • 1
    Flexibilty and easy to use
CONS OF SINATRA
    Be the first to leave a con

    related Sinatra posts

    SQLAlchemy logo

    SQLAlchemy

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    The Python SQL Toolkit and Object Relational Mapper
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    PROS OF SQLALCHEMY
    • 7
      Open Source
    CONS OF SQLALCHEMY
    • 2
      Documentation

    related SQLAlchemy posts

    Hello everybody! I want to create an easy to use website (and simplified) builder. Users create a site, add their domain and edit Pages inside an Admin Area inside predefined "Blocks" like with Wagtail.

    There should be several default templates/themes and layouts. Choosing a different theme might change both the layout and styling. And I'm looking for SSR or SSG with a focus on the end-user's Page performance.

    Current Stack:

    • GraphQL for the dynamic part (for example data to Pricing might not be required on the homepage, or images might go into gallery in one theme, and on the homepage in another theme)

    • FastAPI and SQLAlchemy to store Data. I have prior experience with Wagtail and Django and want to stay with Python and learn Fastapi

    • NGINX to handle domain-specific things (the how is not yet refined)

    I want a scalable architecture and especially a fast frontend. I'm tending to use SvelteKit, but I'm afraid that the dynamic part won't make me happy after having hundreds of sites, as the bundler cannot load themes dynamically. sveltekit - dynamic import

    I want to handle the scenario: Admin-User chooses a theme and other options for the site (domain) and the End-User Frontend/Session/Cookie will have to fetch and store data about the theme and load subsequent calls to prerendered sites.

    Also the "hundreds of sites" might not be all covered by 5 Themes, because users may purchase a custom-made theme, and I would have to manage one big project having lots of different Styleguides and flows. I even thought of statically building the site whenever the user makes a change, maybe using Hugo (or VitePress?). Then I would have to take more care with the page recreation and it would be easily routable instead of nesting every component with logic in the frontend... I think. But this I haven't thought through yet.

    Can anyone please help?

    See more
    Django Stars
    Developer at Django Stars · | 3 upvotes · 223.3K views

    Merging Django ORM with SQLAlchemy for Easier Data Analysis (Video Inside)

    Development of products with Django framework is usually easy and straightforward; great documentation, many tools out of the box, plenty of open source libraries and big community. Django ORM takes full control about SQL layer protecting you from mistakes, and underlying details of queries so you can spend more time on designing and building your application structure in Python code. However, sometimes such behavior may hurt - for example, when you’re building a project related to data analysis. Building advanced queries with Django is not very easy; it’s hard to read (in Python) and hard to understand what’s going on in SQL-level without logging or printing generated SQL queries somewhere. Moreover, such queries could not be efficient enough, so this will hit you back when you load more data into DB to play with. In one moment, you can find yourself doing too much raw SQL through Django cursor, and this is the moment when you should do a break and take a look on another interesting tool, which is placed right between ORM layer and the layer of raw SQL queries.

    See more
    FastAPI logo

    FastAPI

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    A high performance, easy to learn, fast to code, ready for production web framework
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    PROS OF FASTAPI
    • 10
      Python
    • 8
      Rapid Development
    • 6
      Documentation
    • 5
      Super Lightweight
    • 5
      Open Source
    • 2
      Fast performance
    • 1
      Add a pro
    CONS OF FASTAPI
      Be the first to leave a con

      related FastAPI posts