IntentLens
A locally run data visualization and analysis tool for Excel and CSV files. It uses a declarative analysis approach that explicitly confirms metric definitions, aggregation logic, and grouping methods before generating charts, improving the controllability and auditability of data analysis.
Timeline (last 90 days)
IntentLens is a locally running Excel/CSV data visualization workbench that lets users confirm metric definitions before generating charts.
The workflow of IntentLens is: import data, describe the problem, review the plan, calculate, optimize, and export.
In IntentLens, the model does not directly generate arbitrary Python or JavaScript code for execution; instead, it proposes a declarative analysis plan, and the application validates the plan before computing based on a data snapshot.
The plan-review step in IntentLens allows users to inspect grouping methods, aggregation logic, ratio definitions, and missing-value handling.
IntentLens provides an online interactive demo that requires no installation, registration, or API key, and can be experienced directly in the browser.
The IntentLens public demo uses fixed synthetic data (12 records) and deterministic rules, does not invoke AI, and does not accept file uploads.
The full local version of IntentLens supports processing users' Excel/CSV files, conversing with a configured large model, multiple charting engines, and revision history.
In the developer's demo, DeepSeek returns the analysis plan, and the computed regional totals are verified against the original input data.
IntentLens is currently still a development version targeting trusted local single-user scenarios; model-assisted plan planning requires an API key and will send field metadata and statistical information to the configured provider.
The developer is recruiting five users with recurring reporting tasks to try out the full application using public or anonymized data.
All Facts (10)
IntentLens is a locally running Excel/CSV data visualization workbench that lets users confirm metric definitions before generating charts.
50%UnverifiedThe workflow of IntentLens is: import data, describe the problem, review the plan, calculate, optimize, and export.
50%UnverifiedIn IntentLens, the model does not directly generate arbitrary Python or JavaScript code for execution; instead, it proposes a declarative analysis plan, and the application validates the plan before computing based on a data snapshot.
50%UnverifiedThe plan-review step in IntentLens allows users to inspect grouping methods, aggregation logic, ratio definitions, and missing-value handling.
50%UnverifiedIntentLens provides an online interactive demo that requires no installation, registration, or API key, and can be experienced directly in the browser.
50%UnverifiedThe IntentLens public demo uses fixed synthetic data (12 records) and deterministic rules, does not invoke AI, and does not accept file uploads.
50%UnverifiedThe full local version of IntentLens supports processing users' Excel/CSV files, conversing with a configured large model, multiple charting engines, and revision history.
50%UnverifiedIn the developer's demo, DeepSeek returns the analysis plan, and the computed regional totals are verified against the original input data.
50%UnverifiedIntentLens is currently still a development version targeting trusted local single-user scenarios; model-assisted plan planning requires an API key and will send field metadata and statistical information to the configured provider.
50%UnverifiedThe developer is recruiting five users with recurring reporting tasks to try out the full application using public or anonymized data.
50%