django-select2 VS CodeGenX

Compare django-select2 vs CodeGenX and see what are their differences.

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django-select2 CodeGenX
4 7
152 511
- 1.0%
7.3 2.6
4 days ago almost 2 years ago
Python JavaScript
MIT License Mozilla Public License 2.0
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.

django-select2

Posts with mentions or reviews of django-select2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-24.

CodeGenX

Posts with mentions or reviews of CodeGenX. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-06.
  • Top OpenAI Tools, Examples & Use Cases
    6 projects | dev.to | 6 Feb 2023
    GitHub link: https://github.com/DeepGenX/CodeGenX
  • [P] CodeParrot 🦜: Train your own CoPilot from scratch!
    2 projects | /r/MachineLearning | 10 Dec 2021
    Looks good, I am currently working on a similar open-source project called CodeGenX. Its a fine-tuned version of GPT-J. Can I ask how long this took to train, and what hardware was used?
  • CodeGenX, a code generation system powered by GPT-J
    1 project | news.ycombinator.com | 25 Nov 2021
    Hey Everyone!

    We are delighted to announce the first version of CodeGenX. CodeGenX is a free and open-source code-generation system (similiar to Github Copilot) powered by a fine-tuned version of GPT-J.

    You can find details for installation and instruction on usage here: https://docs.deepgenx.com. Our GitHub repository can be found here: https://github.com/DeepGenX/CodeGenX.

    I think it is important to identify what CodeGenX can and cannot do, so we know what to expect. We have found that CodeGenX works well for common use cases which occur repeatedly in the training set. It understands context and outputs code with similar formatting to your previous code using the appropriate variables. But it does not shine in places where logical or mathematical computations are needed. This does not mean that it doesn't understand any logic or math, but just a weak point of the model.

    Here are some links that have additional information:

    Website: https://deepgenx.com

  • CodeGenX, Another Open Source Alternative to GitHub Copilot
    1 project | news.ycombinator.com | 23 Nov 2021
  • CodeGenX, an open-source GitHub Copilot alternative
    1 project | /r/vscode | 23 Nov 2021
    CodeGenX is an extension that will help you write your code better and faster, it uses a fine-tuned version of GPT-J to generate code that's readable and efficient. You can find more details and a guide on how to use CodeGenX on our website, if you're interested in the source code, you can take a look at the github repo. If you have any questions or feedback, you can contact us via discord or by replying to this post.
  • CodeGenX, A code generation system powered by GPT-J!
    1 project | /r/Python | 23 Nov 2021
    You can find details for installation and instruction on usage here: https://docs.deepgenx.com. Our GitHub repository can be found here: https://github.com/DeepGenX/CodeGenX.
  • Looking for a volunteer for some help on the website of an Open-Source Project.
    1 project | /r/webdevelopment | 17 Oct 2021
    Hope you're doing well. We (a group of volunteers) are currently working on an open-source project called CodeGenX. The project is a code generation extension for VS Code (similar to GitHub Copilot) based on a custom fine-tuned version of GPT-J. The problem is that most of us working on the project are Machine Learning Engineers/Data Scientists and do not have much experience in webdev.

What are some alternatives?

When comparing django-select2 and CodeGenX you can also consider the following projects:

django-autocomplete-light - A fresh approach to autocomplete implementations, specially for Django. Status: v4 alpha, v3 stable, v2 & v1 deprecated.

kube-shell - Kubernetes shell: An integrated shell for working with the Kubernetes

django-ajax-selects - jQuery UI-powered auto-complete fields for ForeignKey, ManyToMany and text fields

autoComplete.js - Simple autocomplete pure vanilla Javascript library.

Choices.js - A vanilla JS customisable select box/text input plugin ⚡️

jQuery-Autocomplete - Ajax Autocomplete for jQuery allows you to easily create autocomplete/autosuggest boxes for text input fields

django-dynamic-formset-select2-poc - Working example that django-select2 can work with django-dynamic-formset

gpt-3-tailwindcss - GPT-3 Tailwind CSS Code Generator

fast-autocomplete - Fast Autocomplete: When Elastcsearch suggestions are not fast and flexible enough

hash - 🚀 The open-source, self-building database. From @hashintel

HTTP Prompt - An interactive command-line HTTP and API testing client built on top of HTTPie featuring autocomplete, syntax highlighting, and more. https://twitter.com/httpie

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.