Squack
What does it do?
- Data Preprocessing
- Exploratory Data Analysis
- Workflow Automation
- Data Privacy
- Data Security
How is it used?
- Use web app
- type commands in English
- get Python code.
- input commands in English
- 1. Type commands in English
Who is it good for?
- Data Scientists
- Data Analysts
- Business Professionals
- Legal Professionals
- Non-Technical Business Users
Details & Features
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Made By
Squack -
Released On
2022-10-24
Squack is a data workflow automation tool that simplifies and streamlines data preprocessing and analysis tasks using generative artificial intelligence. It enables users to build data workflows using everyday language, which the system then translates into Python code, making complex data tasks more manageable for both technical and non-technical users.
Key features:
- Natural Language Processing: Allows users to input data processing commands in plain English, which are then converted into Python code.
- Data Preprocessing: Automates repetitive data cleaning tasks based on user-provided instructions, reducing time and potential for human error.
- Exploratory Data Analysis (EDA): Assists users in identifying next steps in the data analysis workflow through natural language queries.
- Reusable Workflows: Enables compilation and export of workflows with a single click for future use and consistency.
- Data Viewer: Provides real-time visualization of each step's results, allowing users to verify accuracy.
- Privacy and Security: Ensures sensitive data remains in-house and is not exposed to third-party AI providers.
How it works:
1. Users input data processing commands in everyday language through the web app interface.
2. The AI, named Computron, generates corresponding Python code based on the user's input.
3. Users can view and verify the results of each step in the data viewer.
4. Completed workflows can be exported as Python code for future use or automation.
Integrations:
Supports integrations with various data sources and tools within the user's existing data ecosystem.
Use of AI:
Squack uses generative artificial intelligence to translate natural language commands into Python code, simplifying complex data tasks and enhancing user productivity.
AI foundation model:
The specific AI foundation model or large language model (LLM) used by Squack is not detailed in the provided information.
Target users:
- Data analysts
- Data scientists
- Business professionals who need to automate and streamline data workflows
- Users without advanced programming skills who need to perform complex data processing tasks
How to access:
Squack is available as a web app, accessible from any device with an internet connection.
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Supported ecosystemsUnknown
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What does it do?Data Preprocessing, Exploratory Data Analysis, Workflow Automation, Data Privacy, Data Security
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Who is it good for?Data Scientists, Data Analysts, Business Professionals, Legal Professionals, Non-Technical Business Users, Business Intelligence Professionals, Healthcare Professionals, Citizen Data Scientists