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https://github.com/yamalight/litlytics
🔥 LitLytics - an affordable, simple analytics platform that leverages LLMs to automate data analysis
https://github.com/yamalight/litlytics
analytics data-science llm
Last synced: about 15 hours ago
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🔥 LitLytics - an affordable, simple analytics platform that leverages LLMs to automate data analysis
- Host: GitHub
- URL: https://github.com/yamalight/litlytics
- Owner: yamalight
- License: agpl-3.0
- Created: 2024-09-02T14:09:15.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-11-25T10:44:12.000Z (2 months ago)
- Last Synced: 2025-01-23T01:06:16.867Z (8 days ago)
- Topics: analytics, data-science, llm
- Language: TypeScript
- Homepage: https://litlytics.app
- Size: 2.64 MB
- Stars: 94
- Watchers: 3
- Forks: 4
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
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README
# LitLytics
**LitLytics** is an affordable, simple analytics platform that leverages LLMs to automate data analysis.
It was designed to help teams without dedicated data scientists gain insights from their data.
[Try Live Demo](https://litlytics.app)
## Key Features
- **No Data Science Expertise Required:** LitLytics simplifies the entire analytics process, making it accessible to anyone.
- **Automatic Pipeline Generation:** Describe your analytics task in plain language, and LitLytics will generate a custom pipeline for you.
- **Customizable Pipelines:** You can review, update, or modify each step in the analytics pipeline to suit your specific needs.
- **Cost-Efficient:** Leveraging modern LLMs allows LitLytics to keep the cost of processing data incredibly low — typically fractions of a cent per document.
- **Scalable & Flexible:** Works with various data formats including CSV, PDF, and plain text.
Watch [the demo video](https://youtu.be/GHXn0l5qcr0) for more detailed intro.
## Running as a Docker container
Make sure you have [Docker](https://www.docker.com/) installed.
Then, start LitLytics from [image](https://github.com/yamalight/litlytics/pkgs/container/litlytics) by running following command:
```bash
docker run -d -p 3000:3000 ghcr.io/yamalight/litlytics:latest
```
This will launch the platform inside a docker container, and you will be able to interact with it in your browser: [http://localhost:3000](http://localhost:3000).
## Running locally in development mode
Make sure you have [Bun](https://bun.sh/) (>=1.1.0) installed.
Clone this repository:
```bash
git clone https://github.com/yamalight/litlytics.git
cd litlytics
```
Install dependencies:
```bash
bun install
```
And finally start the LitLytics platform:
```bash
bun run dev
```
This will launch the platform, and you will be able to interact with it in your browser: [http://localhost:5173](http://localhost:5173).
## Running pipelines via API
`POST /api/execute` endpoint executes pipeline using given LLM provider and model.
The body should be a JSON object with the following fields:
- **provider**: The language model provider you wish to use.
- **model** (`LLMModel`): The specific model to use, based on the selected provider.
- **key** (`string`): The API key to authenticate with the specified provider.
- **pipeline** (`Pipeline`): The configuration for the processing pipeline.
Example request:
```json
{
"provider": "openai",
"model": "gpt-4o-mini",
"key": "sk-your-api-key",
"pipeline": {
// your pipeline configuration
}
}
```
A response will include new pipeline config that includes results of the task execution.
## Contributing
Contributions are welcome! If you’d like to contribute to LitLytics, please fork the repository and submit a pull request with your changes.
1. Fork the repo
2. Create your feature branch (`git checkout -b feature/YourFeature`)
3. Commit your changes (`git commit -m 'Add YourFeature'`)
4. Push to the branch (`git push origin feature/YourFeature`)
5. Open a pull request
## License
This project is [licensed](/LICENSE.md) under the **GNU Affero General Public License v3.0 (AGPL-3.0)**.
This license ensures that the software remains free and open, even when used as part of a network service. If you modify or distribute the project (including deploying it as a service), you must also make your changes available under the same license.
### Commercial/Enterprise Licensing
If your use case requires a proprietary license (for example, you do not wish to open-source your modifications or need a more flexible licensing arrangement), we offer **commercial and enterprise licenses**. Please [contact us](mailto:[email protected]?subject=LitLytics%20License) to discuss licensing options tailored to your needs.