head to head · open source

nanobot vs chatgpt_telegram_bot

nanobot has 48,372 GitHub stars, 8,548 forks, 775 open issues and last shipped today. chatgpt_telegram_bot has 5,529 stars, 1,915 forks, 56 open issues and last shipped 3 months ago. nanobot leads on adoption by 775% (48,372 vs 5,529 stars). nanobot is written in Python under MIT; chatgpt_telegram_bot is written in Python under MIT. nanobot has attracted 18% as many forks as stars, chatgpt_telegram_bot 35%. nanobot was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (chatbot), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

nanobot ★ 48K chatgpt_telegram_bot ★ 5.5K category AI & Machine Learning

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Side by side

nanobot chatgpt_telegram_bot
GitHub stars ★ 48K ★ 5.5K
License MIT MIT
Written in Python Python
Last push 2026-09-20 2026-06-14
Forks ⑂ 8.5K ⑂ 1.9K
Self-hosting Yes Yes
Data ownership Your server Your server

pick nanobot if

  • You weight community size — 48K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full nanobot profile →

pick chatgpt_telegram_bot if

  • You want the chatgpt_telegram_bot feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches Python
  • You evaluated both and chatgpt_telegram_bot fits your workflow better

full chatgpt_telegram_bot profile →

About nanobot

nanobot is an ultra lightweight, open source, self hosted personal AI agent framework written in Python, aimed at individual developers and small teams who want to run their own agent through a browser WebUI, a terminal, or chat apps instead of renting a hosted assistant.

read the full nanobot overview →

About chatgpt_telegram_bot

chatgpt telegram bot is an MIT licensed Python bot that places OpenAI's GPT models and Anthropic's Claude models inside Telegram using your own API keys, aimed at individuals and teams who want fast, uncapped model access without living in a browser tab.

read the full chatgpt_telegram_bot overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs comfyui openclaw vs odysseus openclaw vs lobechat openclaw vs anythingllm openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs odysseus ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail

More AI Interaction & Interfaces projects

Compare either of these against the rest of the AI Interaction & Interfaces field.

nanobot vs OpenClaw nanobot vs Hermes Agent nanobot vs Open WebUI nanobot vs ComfyUI nanobot vs odysseus nanobot vs LobeChat nanobot vs AnythingLLM nanobot vs Cherry Studio nanobot vs Jan nanobot vs LibreChat nanobot vs chatbox nanobot vs AstrBot

Frequently asked questions

Is nanobot or chatgpt_telegram_bot more popular?

nanobot has 48,372 GitHub stars and chatgpt_telegram_bot has 5,529. nanobot has the larger community by that measure.

Are nanobot and chatgpt_telegram_bot free?

Both are open source. nanobot is licensed under MIT and chatgpt_telegram_bot under MIT. Neither carries a licence fee.

What is the difference between nanobot and chatgpt_telegram_bot?

nanobot is written in Python and chatgpt_telegram_bot in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, nanobot or chatgpt_telegram_bot?

Choose nanobot if you want the larger community (48,372 stars) or its MIT licence terms. Choose chatgpt_telegram_bot if its feature set, stack or MIT licence fits better. Both are self-hostable.