Lightski
What does it do?
- Data Analysis
- Application Development
- Data Visualization
- Data Transformation
- Data Cleaning
How is it used?
- Integrate web app
- ask questions for data analysis.
- 1. Access web app
- 2. Ask questions
- 3. Generate Python code
Who is it good for?
- Data Analysts
- Business Intelligence Professionals
- Application Developers
- SaaS Providers
- Enterprise Software Companies
Details & Features
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Made By
Lightski -
Released On
2023-10-24
Lightski is a platform that embeds AI-driven data science capabilities directly into applications. It enables app developers to integrate an AI Data Scientist, allowing end-users to perform complex data analysis within the app itself without requiring extensive data science expertise.
Key features:
- Embedded AI Data Scientist: Allows users to perform data analysis by asking questions directly within the app.
- Python Code Generation: AI generates Python code based on user queries, executed in a secure, isolated environment.
- Customizable UI: Developers can re-theme the UI to match their application's design system seamlessly.
- Data Transformation and Cleaning: Provides tools to transform and clean data, preparing it for analysis.
- Advanced Data Visualizations: Users can create custom graphs, charts, and dashboards.
- Data Export: Supports exporting data in a clean, usable format like CSV for further use outside the app.
How it works:
1. Developers integrate Lightski into their application.
2. End-users ask questions or make data analysis requests within the app.
3. The AI interprets these queries and generates corresponding Python code.
4. The code is executed in a secure, isolated environment.
5. Results are presented to the user through visualizations or data exports.
Integrations:
Lightski integrates with various databases, transforming data into a clean schema for analysis.
Use of AI:
Lightski uses generative AI to interpret user queries and generate Python code. This allows the platform to provide contextually relevant data analyses and visualizations.
AI foundation model:
The AI model appears to be a form of a large language model (LLM), designed to understand and generate human-like text responses and code.
Target users:
- Application developers
- SaaS providers
- Enterprises with customer-facing applications requiring robust analytics functionalities
How to access:
Lightski is available as a web application. Interested users can contact Lightski directly for access and pricing information.
Pricing:
Lightski operates on a subscription basis. Specific pricing details are available upon request from the company.
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Supported ecosystemsUnknown, React
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What does it do?Data Analysis, Application Development, Data Visualization, Data Transformation, Data Cleaning
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Who is it good for?Data Analysts, Business Intelligence Professionals, Application Developers, SaaS Providers, Enterprise Software Companies