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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

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✓ verifiedFreemium

Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.

775K visits/mo

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K saves
Jam logo
Jam
✓ verifiedFreemium

One-click bug-reporting tool that auto-captures console, network logs and repro steps for developers.

730K visits/mo2.9K saves
4.7K visits/mo
Quadratic Multiplayer logo
Quadratic Multiplayer
✓ verifiedFreemium

AI-native spreadsheet connecting live databases and files, letting teams query and chart data with AI, Python, or SQL.

119K visits/mo
Pricing

No public pricing

No public pricing

Free: $0 (30 Jams/mo, 5 recording links)
Team: $14/creator per month billed yearly (unlimited Jams)

Free trial available

No public pricing

Pro: $18/user/month billed annually ($20 AI credits/mo)
Business: $36/user/month billed annually (2x AI credits)
Core features
  • Open-source AI code assistant
  • Customizable autocomplete
  • In-editor AI chat
  • Community-built coding agent
  • Fast tensor operations
  • Differentiable tensors for gradient-based optimization
  • Network connectivity
  • Integration with Bun and Flashlight
  • Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
  • One-click bug capture via browser extension
  • Automatic repro steps
  • Console, network and device logs
  • Instant replay of recent activity
  • Backend tracing and an AI debugger
  • Integrations with Jira, Linear, GitHub and Slack
  • Zero-ETL data integration
  • Federated Query
  • Streaming Ingestion
  • Instant Replication with CDC
  • API to SQL conversion
  • NoSQL to SQL conversion
  • SQL to API conversion
  • Self-service Integration
  • Generate SQL with AI
  • Connects to Postgres, MySQL, Snowflake, BigQuery and other live databases
  • Imports CSV, Excel and PDF files alongside database connections
  • AI agent writes formulas, code and charts from plain-English prompts
  • Supports Python, SQL, formulas and JavaScript in the same sheet
  • Built-in connectors for QuickBooks, Google Analytics, Mixpanel and Plaid
  • MCP support so external AI agents can read/write spreadsheet cells
  • REST API for triggering AI runs and manipulating cells programmatically
  • Scheduled tasks and PDF data extraction
Use cases
  • Get AI code completions while coding
  • Ask questions about code in the editor
  • Build on an open-source coding-agent foundation
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Filing detailed bug reports
  • Reproducing issues faster in QA
  • Sharing debug context with engineers
  • Triaging support bug reports
  • Query data directly from its source in real-time.
  • Process data wherever it is, blending data from different sources.
  • Ingest streaming data from Kafka, Segment, etc., into Peaka BI Table.
  • Replace nightly batch ingestion with real-time data access.
  • Treat every data source like a relational database by converting APIs to tables.
  • Use SQL to query NoSQL databases.
  • Query consolidated data and expose it with APIs.
  • Finance teams building recurring, auditable financial reports
  • Analysts combining multiple data sources into one live dashboard
  • Traders and investors tracking market and portfolio data
  • Product and sales teams generating forecasts and charts without formulas
  • Teams wanting an AI agent to verify and edit spreadsheet work directly
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