
LM Studio
Jan.ai
GPT4All
Hugging Face
LangChain
Claude AI
Groq Chat
The easiest way to run large language models locally
Praditus
Skills assessments providing deep insights
Which is more popular?
Based on our record, Ollama seems to be more popular. It has been mentioned 335 times since March 2021.
Website, pricing, platforms and company facts side by side.
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DevelopMyTeam
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| Website | ollama.com | developmyteam.com |
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What each product offers, as listed by its team.

Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.

Overall verdict
Why this product is good
Recommended for
Ollama is recommended for businesses and teams seeking an efficient project management solution. It is especially useful for remote teams, startups, and any organization looking to enhance collaboration and project tracking capabilities.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Code Llama: First Look at this New Coding Model with Ollama
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How often each product is chosen within a category, 0–100% relative to the other.

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Recommendations tracked on public social media and blogs since March 2021.

No internet needed in a restaurant backroom — the AI core is Gemma 3 (gemma3:4b) running locally via Ollama. - Source: dev.to / about 2 hours ago
The core is one HTTP call to a local Ollama server running an open-weight model (llama3.2 by default, swappable with -m). The real work is the prompt: fixed headings, a reading-level target, and a hard rule against inventing facts or... - Source: dev.to / about 2 hours ago
Words: Gemma via Ollama, locally. Gemma never writes a number. - Source: dev.to / about 3 hours ago
Tracking DevelopMyTeam since May 2023.
When comparing Ollama and DevelopMyTeam, you can also consider the following products.


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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.
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A powerful assistant chatbot that you can run on your laptop
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The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
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Framework for building applications with LLMs through composability
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