
LM Studio
Jan.ai
GPT4All
Hugging Face
LangChain
Claude AI
OpenAI
The easiest way to run large language models locally

Code parcel is a platform to share code snippets, so it can help other developers.

Which is more popular?
Based on our record, Ollama seems to be more popular. It has been mentioned 301 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | ollama.com | codeparcel.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.
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How often each product is chosen within a category, 0–100% relative to the other.


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


Hardware: a MacBook Pro with an M3 Max and 48 GB of memory. Runtime: Ollama. Two models, both open weights: gemma2:27b, Google's June 2024 release, 15 GB on disk at the default 4-bit quantization, under the Gemma terms; and bge-m3,... - Source: dev.to / 8 days ago
If the labs use a local model, add the download to the same preflight. Pulling a few gigabytes of weights over a home connection is fine with a week of notice and hopeless during a coffee break. Ollama makes that one command, and the... - Source: dev.to / 8 days ago
LLM: Ollama based on Microsoft.Extensions.AI as an abstraction that support tool calling. Can be swapped for any IChatClient (Azure OpenAI, Bedrock, OpenAI, etc.). - Source: dev.to / 9 days ago
Tracking Code Parcel since May 2022.
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