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QuadraticVisit WebsiteBrowser spreadsheet with Python, AI, and live collaboration for data teams.
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What is Quadratic AI
Quadratic AI is a modern, browser-based spreadsheet that combines traditional formulas, native Python, and an integrated AI assistant in a single high-performance workspace. Built for analysts, data scientists, and developers, it enables rapid data exploration, database connections, and clear visualizations without switching tools. Real-time collaboration and cell-level computation support reproducible workflows, while AI helps generate code, explain results, and automate data cleaning. Quadratic streamlines analysis by unifying spreadsheets, code, and AI in a familiar grid interface.
Quadratic AI Main Features
- Native Python in cells: Run Python directly in the grid to analyze data, prototype models, and reuse existing code without leaving the spreadsheet.
- Spreadsheet formulas: Use familiar functions for quick calculations, lookups, and transformations alongside code-driven logic.
- Built-in AI assistant: Generate formulas, write Python snippets, explain outputs, and suggest cleaning or transformation steps.
- Real-time collaboration: Edit simultaneously, see live changes, and keep teams aligned in the browser.
- Database connections: Connect to data sources to query, join, and refresh datasets directly in the sheet.
- High-performance engine: Handle sizable data and computations efficiently with responsive cell execution.
- Visualization tools: Create charts and basic dashboards to communicate insights quickly.
- Reproducible workflows: Keep logic, code, and outputs together for transparent analysis and easy handoffs.
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What is GPTExcel AI
GPTExcel AI is an AI assistant for spreadsheets and databases that instantly generates and explains Microsoft Excel, Google Sheets, and Airtable formulas. Beyond functions, it automates VBA, Google Apps Script, Airtable Script, SQL queries, and regex patterns, turning natural-language prompts into ready-to-use outputs. The tool helps analysts, operators, and learners reduce errors, speed up reporting, and understand complex logic with clear explanations. It runs in a simple web interface and supports both quick one-off tasks and repeatable workflows.
GPTExcel AI Features
- Formula generation: Create accurate Excel formulas, Google Sheets formulas, and Airtable formulas from plain English requests.
- Formula explanation: Paste a complex formula to receive a step-by-step breakdown of its logic and edge cases.
- Script automation: Generate VBA, Google Apps Script, and Airtable Script to automate repetitive spreadsheet tasks.
- SQL query generation: Turn business questions into ready-to-run SQL queries for analytics and reporting.
- Regex builder: Craft and explain regular expressions for data cleaning and validation.
- Cross-platform awareness: Adapts syntax for Excel vs. Sheets vs. Airtable, reducing compatibility issues.
- Error reduction: Minimizes trial-and-error by proposing tested patterns and offering correction suggestions.
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Gemini Code AssistVisit WebsiteAI coding in VS Code/JetBrains with code-aware chat and GitHub PR reviews.
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What is Gemini Code Assist AI
Gemini Code Assist AI is an AI-powered coding assistant that runs natively in VS Code and JetBrains IDEs. It delivers fast, context-aware code completion, code generation, and code transformation, plus an in-IDE chat that understands your repository and current file. Beyond the editor, it reviews GitHub pull requests, suggesting targeted changes and fixes to improve quality and speed up reviews. Available in Individuals (free), Standard, and Enterprise editions, it helps teams write, refactor, and maintain code inside existing workflows.
Gemini Code Assist AI Key Features
- Native IDE integration: Seamless setup in VS Code and JetBrains for an in-editor experience without switching tools.
- Context-aware code completion: Generates accurate suggestions based on your current file and project context.
- Code generation and transformation: Create new functions, refactor existing code, and apply structured changes consistently.
- Repository-aware chat: Ask questions about your codebase, get explanations, and receive guided fixes directly in the editor.
- GitHub pull request review: Analyzes PRs, proposes code changes, and suggests fixes to streamline review cycles.
- Inline guidance: Provides rationale and examples to help understand suggestions and adopt best practices.
- Edition flexibility: Individuals (free), Standard, and Enterprise tiers offer varying feature depth and support levels.
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WorkikVisit WebsiteWorkik AI: Context-aware coding for code, DB, API—GitHub ready.
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What is Workik AI
Workik AI is an AI-powered development platform that helps engineers ship faster with context-aware assistance across the full stack. It streamlines frontend, backend, database, API, and infrastructure work by generating code, visualizing schemas, building queries, and creating realistic mock data. With integrations for GitHub, GitLab, Bitbucket, SQL and NoSQL databases, Postman, Slack, Microsoft Teams, Email, and Jira, Workik AI brings collaboration and automation into the tools teams already use.
Workik AI Key Features
- Context-aware AI coding: Generate, refactor, and explain code with understanding of your repository, stack, and project conventions.
- AI code generation: Scaffold components, services, tests, and infrastructure snippets to accelerate feature delivery.
- Database visualization: Explore schemas and relationships with auto-generated diagrams for SQL and NoSQL databases.
- Query generation: Create optimized SQL/NoSQL queries, migrations, and data-access layers from plain-English prompts.
- Mock data generation: Produce realistic, schema-aligned seed data for development, testing, and staging environments.
- API development support: Design, test, and document endpoints; generate client stubs and Postman collections.
- Collaboration tools: Summarize pull requests, draft comments, and push updates to Slack, Microsoft Teams, Email, and Jira.
- VCS integrations: Work natively with GitHub, GitLab, and Bitbucket for branch workflows and CI triggers.




