githubnext VS CodeGen

Compare githubnext vs CodeGen and see what are their differences.

githubnext

A public point of contact for GitHub Next (by githubnext)

CodeGen

CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex. (by salesforce)
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githubnext CodeGen
12 18
143 4,762
2.8% 1.5%
2.5 6.1
about 1 year ago about 1 month ago
Python
- Apache 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.

githubnext

Posts with mentions or reviews of githubnext. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-02.

CodeGen

Posts with mentions or reviews of CodeGen. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-23.

What are some alternatives?

When comparing githubnext and CodeGen you can also consider the following projects:

gpt-repository-loader - Convert code repos into an LLM prompt-friendly format. Mostly built by GPT-4.

fauxpilot - FauxPilot - an open-source alternative to GitHub Copilot server

universe-blocks-demo-blocks

pifs - πfs - the data-free filesystem!

chat_waitlist_signup

FasterTransformer - Transformer related optimization, including BERT, GPT

lapce - Lightning-fast and Powerful Code Editor written in Rust

copilot

TypeScript - TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

ipv6-wsl

cformers - SoTA Transformers with C-backend for fast inference on your CPU.