chatgpt_telegram_bot VS DocsGPT

Compare chatgpt_telegram_bot vs DocsGPT and see what are their differences.

chatgpt_telegram_bot

💬 Telegram bot with ChatGPT, Python-based, using OpenAI's API. (by father-bot)
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chatgpt_telegram_bot DocsGPT
6 35
4,813 14,208
- 1.0%
6.9 9.8
5 days ago 7 days ago
Python Python
MIT License MIT 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.

chatgpt_telegram_bot

Posts with mentions or reviews of chatgpt_telegram_bot. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-29.

DocsGPT

Posts with mentions or reviews of DocsGPT. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-15.

What are some alternatives?

When comparing chatgpt_telegram_bot and DocsGPT you can also consider the following projects:

knowledge_gpt - Accurate answers and instant citations for your documents.

llama_index - LlamaIndex is a data framework for your LLM applications

awesome-text-summarization - The guide to tackle with the Text Summarization

llama - Inference code for Llama models

devdocs - API Documentation Browser

yolov7-segmentation-with-DeepSORT-Tracking - YOLOv7 Segmentation using OpenCV and PyTorch with DeepSORT Tracking (ID + TRAILS)

nlp-recipes - Natural Language Processing Best Practices & Examples

localsend - An open-source cross-platform alternative to AirDrop

Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

petals - 🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

browsh - A fully-modern text-based browser, rendering to TTY and browsers