Compare
Jspreadsheet vs Langfuse
Observability for LLM apps, unrelated to spreadsheet functionality
JspreadsheetJavaScript Data Grid with Advanced Spreadsheet Controls
LangfuseOpen Source Observability & Analytics for LLM Apps 🕵️♂️Side by side
- What it is
- Jspreadsheet:Jspreadsheet is a JavaScript data grid that provides Excel-like spreadsheets for web applications.
- Langfuse:Langfuse is an open-source platform for tracing, evaluating and monitoring LLM applications and AI agents.
- Best for
- Jspreadsheet:Excel-compatible JavaScript spreadsheet
- Langfuse:LLM observability & analytics
- Who it’s for
- Jspreadsheet:Web developers building data-heavy apps with React, Vue, Angular or plain JavaScript.
- Langfuse:Developers building, debugging and scaling LLM-based apps and agents.
- Pricing
- Jspreadsheet:Paid
- Langfuse:Freemium
- Plans
- Jspreadsheet:Enterprise $249 per month · Ultimate $449 per month
- Langfuse:Hobby Free · Core $29 per month · Pro $199 per month · Enterprise $2499 per month
- Open source
- Jspreadsheet:—
- Langfuse:Yes, 35,097 GitHub stars
- Works with
- Jspreadsheet:React, Vue, Angular, Plain JavaScript
- Langfuse:Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift
- DevHunt upvotes
- Jspreadsheet:1
- Langfuse:89
- Launched on DevHunt
- Jspreadsheet:May 2025
- Langfuse:Jan 2023
Jspreadsheet features
- 500+ Excel formulas. Supports over 500 Excel-compatible formulas for calculations and analysis.
- File import/export. Import and export 16+ formats including .xlsx, .csv and .ods while preserving formatting.
- Familiar UI/UX. Provides fill handle, frozen rows/columns, copy-paste, keyboard shortcuts and multi-sheet tabs.
- High-performance grid. Optimized for large datasets and works with React, Vue, Angular or plain JS.
- AI functions in cells. Allows AI-driven calculations directly within spreadsheet cells.
- Collaboration-aware undo. Sparse storage engine with undo/redo that respects multiple users.
Langfuse features
- Hierarchical Traces. Capture every LLM call, tool invocation and retrieval step with filters for user, session, cost and latency.
- Prompt Management. Version, fetch, release and cache prompts separately from code with one-click deployments.
- Evaluation Engine. Run LLM-as-judge, heuristic or human-review evaluations on production data or experiments.
- Experiments & Datasets. Define test cases, run experiments and create golden datasets for continuous improvement.
- Dashboards & Alerts. Monitor cost, latency and quality via custom dashboards and automated alerts.
- Human Annotation. Collaborative human-in-the-loop workflows with annotation queues.
- Extensive Integrations. Supports Python, TypeScript, Go, Java, .NET, Ruby, PHP, Swift and 100+ agent frameworks and model providers.
- Self-hosted & Cloud Options. Available as hosted SaaS or self-hosted under MIT license.
Based on each tool's website and DevHunt data. Details may change; check the official sites.