tabby VS turbopilot

Compare tabby vs turbopilot and see what are their differences.

turbopilot

Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU (by ravenscroftj)
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tabby turbopilot
24 15
17,192 3,839
6.2% -
9.9 10.0
3 days ago 7 months ago
Rust C++
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" License
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.

tabby

Posts with mentions or reviews of tabby. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-09.

turbopilot

Posts with mentions or reviews of turbopilot. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-27.

What are some alternatives?

When comparing tabby and turbopilot you can also consider the following projects:

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

refact - WebUI for Fine-Tuning and Self-hosting of Open-Source Large Language Models for Coding

ggml - Tensor library for machine learning

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

prompt-engineering - ChatGPT Prompt Engineering for Developers - deeplearning.ai

aider - aider is AI pair programming in your terminal

telegram-chatgpt-concierge-bot - Interact with OpenAI's ChatGPT via Telegram and Voice.

ollama-ui - Simple HTML UI for Ollama

simpleAI - An easy way to host your own AI API and expose alternative models, while being compatible with "open" AI clients.

autodistill - Images to inference with no labeling (use foundation models to train supervised models).

Flowise - Drag & drop UI to build your customized LLM flow