Overall Score
63
Top 1%
of AI companies
by Ollama
Ollama is the easiest way to automate your work using open models, while keeping your data safe.
Chat, build, and explore with open AI models.
Overall Score
63
Top 1%
of AI companies
Overall Score
63
GitHub Stars
183K
Monthly Visits
11.1M
Community Rating
4.8
Chat, build, and explore with open AI models.
Latest detected signals across traffic, developer activity and community mentions.
Last GitHub push
HN: "Ollama: All Aboard Open Models"
Referral growth vs previous period
| Keyword | Volume / Mo | CPC |
|---|---|---|
| ollama | 1,678,690 | $1.78 |
| ollama models | 129,760 | $2.27 |
| olama | 118,100 | $1.39 |
| ollama download | 90,300 | $1.81 |
| ollama cloud | 60,330 | $2.96 |
Download
Free
Pro
$20
/ yearly
Max
$100
/ monthly
Usage
—
Example use cases
—
Ollama is a tool designed to help users quickly and effortlessly set up and utilize large language models on their local machines. With its user-friendly interface, Ollama simplifies the process of working with these models, allowing users to focus on their tasks without the need for extensive techn...
Get notified when score, traffic, GitHub or community signals change.
Latest detected signals across traffic, developer activity and community mentions.
Last GitHub push
HN: "Ollama: All Aboard Open Models"
Six signals, each 0–100, blended into the overall by their listed weight.
Generated from public signals and search intent.
Each dimension is weighted (traffic 20% · community 25% · growth 15% · momentum 15% · innovation 10%) and combined into the overall.
View full analytics →Indexed by indexator.ai
Indexed by indexator.ai
GitHub repo created
Referral growth vs previous period
| Keyword | Volume / Mo | CPC |
|---|---|---|
| ollama | 1,678,690 | $1.78 |
| ollama models | 129,760 | $2.27 |
| olama | 118,100 | $1.39 |
| ollama download | 90,300 | $1.81 |
| ollama cloud | 60,330 | $2.96 |
Pro
$20/ mo
Max
$100/ mo
Usage
—
Example use cases
—
Saves
209.9K
Rating
4.8
5 reviews
Views
5.9K
Category
Large Language Models
Pros · 16
Cons · 10
Rating distribution
User reviews · 3
Very easy to get started with installing local LLMs. Just had some minor hickups that was not too hard to fix.
Release history · 2+
Ollama v0.14.0 and later (including v0.14.2) now support the Anthropic Messages API, enabling tools like Claude Code to run against Ollama models. This lets Claude Code work with local or cloud models through Ollama’s endpoint You can now use Claude Code — Anthropic’s command-line coding assistant — with any Ollama model locally installed on your machine by configuring the Anthropic API base URL to point at your Ollama server. Claude Code can also connect to Ollama’s cloud models (e.g., glm-4.7:cloud or minimax-m2.1:cloud) when using Ollama’s hosted API. Recommended local models such as gpt-oss:20b and qwen3-coder can be used with Claude Code for coding tasks, thanks to the new compatibility layer. Existing applications using the Anthropic SDK can now be pointed at an Ollama instance by changing the base URL, allowing seamless integration of Ollama models in Anthropic-compatible tooling.
Initial release of Ollama.
Q&A · 22
Ollama is a tool designed to help users quickly and efficiently set up and utilize large language models on their local machines. It offers a user-friendly interface and customization options, enabling users to tailor the models to their specific needs. It also allows users to create their own models, enhancing their language processing capabilities.
Ollama simplifies the process of setting up large language models by providing a user-friendly interface that requires no extensive technical knowledge. This allows users to focus on their tasks and tailor the language models to their specific needs.
Yes, in addition to LLAMA 2, Ollama supports running other large language models.
Ollama was initially designed for macOS, but support for Windows and Linux versions is currently under development and will be made available soon.
Ollama offers customization options that allow users to adapt the language models to their specific needs. There's also the capability of creating one's own models for more personalized language processing tasks.
Alternatives — peer set
AIs built with Ollama · 1
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Top 10 in Consumer AI.
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The best way to serve LLMs locally.