
CodersRank
GitHub Metrics
GitHubTree
DeskHub
OpenSauced
Git Skyline
Vizzu
GitHub Ctiy uses ThreeJS to create a 3D city from your GitHub contributions.

ChatGPT
GPT4All
Ollama
LM Studio
Claude AI
AnythingLLM
DeepSeek
Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs like OpenAI’s GPT-4 or Groq.

Which is more popular?
Based on our record, Jan.ai seems to be more popular. It has been mentioned 14 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | honzaap.github.io | jan.ai |
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What each product offers, as listed by its team.


No features have been listed yet.
Possible disadvantages
Walkthroughs and reviews on video.
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Turn Your Computer Into An AI Computer- Jan.ai
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using GitHub City and Jan.ai. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking GitHub City since Jul 2022.
There is also https://github.com/ml-explore/mlx-swift-lm which is what https://jan.ai uses. - Source: Hacker News / 2 months ago
Jan is the most polished open-source AI client available. Built with Tauri, it's lighter than Electron apps and has a genuinely clean, minimal design — the kind where you notice the absence of clutter rather than the presence of... - Source: dev.to / 4 months ago
Jan takes a different approach, prioritizing user privacy and simplicity over advanced features with a 100% offline design that includes no telemetry and no cloud dependencies. - Source: dev.to / 10 months ago
When comparing GitHub City and Jan.ai, you can also consider the following products.

The Ultimate Profile For Developers | Turn Your Code Into Your Digital Developer Profile & Get Hired Faster
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ChatGPT is a powerful, open-source language model.
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Customize your profile with various plugins and metrics
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A powerful assistant chatbot that you can run on your laptop
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The easiest way to run large language models locally
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