Execute custom Python code using plotly express and pandas to generate complex Plotly charts from a data file, saving with a specified filename keyword.
Publish a chart to Autario by providing a Plotly spec with column references; Autario pulls real data from datasets to ensure integrity, making the chart permanent, shareable, and editable.
Generate an interactive FFT spectrum report with automatic peak detection and harmonic labeling from stored vibration signals. Identifies up to 15 peaks and highlights harmonics based on shaft RPM.
A FastMCP server that turns JSON data into Plotly figures, deployable as an isolated service on Modal. Data goes in as JSON; a validated Plotly figure (JSON) or a rendered PNG comes back over the Model Context Protocol.
Generate Plotly figures from data and natural-language descriptions. Handles open-ended chart requests by writing and running Python code, returning the figure as JSON.
Retrieve Japanese stock candlestick data with OHLCV and technical indicators as JSON for chart rendering. Supports date ranges, split-adjusted prices, and overlays like moving averages.
Add shaded vertical zones to Plotly charts to highlight time periods like crises or policy changes. Enhances figure with colored bands and optional labels.
Visualize relationships between numeric features with an interactive correlation heatmap. Supports Pearson and Spearman methods, with optional column filtering.