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DataLens

bran9910.github.io

WebWindowsmacOSLinuxSelf-hosted
Visit bran9910.github.io
Spec score 7.4 #20 of 27 in AI Data Analysis Tools

What it is

DataLens reads CSV files in a browser, profiles their columns, and turns the analysis into an interactive report. It accepts drag-and-drop multi-file imports and clipboard pastes, and detects numeric, categorical, and datetime columns. Its eight chart types are bar, line, pie, donut, scatter, radar, histogram, and box plot. Pearson correlations appear in a heatmap; text insights can surface outliers, trends, top-k segments, and cross-correlations. Natural-language queries are supported, and an assistant can connect to Ollama, OpenRouter, Groq, or an OpenAI-compatible endpoint. The site says CSV data stays in the browser, while AI requests go from the browser tab to the configured provider. DataLens can run offline without installation or a backend, either in a browser or from a local HTML file or HTTP server. The maker describes CSV uploads up to approximately 50 MB. Reports export to PDF, and filtered data can be downloaded as CSV. The interface is available in French and English. DataLens is free and open source under the MIT License.

Spec sheet

Purpose
DataLens reads CSV files in the browser, profiles columns, and creates an interactive report.Read 9 Oct 2026 · bran9910.github.io
Deployment
The GitHub README says the app can be opened in a browser or run locally from its HTML file or an HTTP server.Read 9 Oct 2026 · github.com
License
DataLens is open source under the MIT License.Read 9 Oct 2026 · github.com
AI integrations
The assistant supports Ollama, OpenRouter, Groq, and any OpenAI-compatible endpoint.Read 9 Oct 2026 · bran9910.github.io
Analysis
It provides Pearson correlation heatmaps and automatic insights about outliers, trends, segments, and correlations.Read 9 Oct 2026 · bran9910.github.io
Automatic insights
It surfaces outliers, trends, top-k segments, and cross-correlations as text.Read 9 Oct 2026 · bran9910.github.io
Charts
It provides eight chart types: bar, line, pie, donut, scatter, radar, histogram, and box plot.Read 9 Oct 2026 · bran9910.github.io
CSV import
It supports drag-and-drop multi-file CSV import, clipboard paste, and automatic detection of numeric, categorical, and datetime columns.Read 9 Oct 2026 · bran9910.github.io
Data handling
The site says CSV data stays in the browser and AI requests go directly from the browser tab to the configured provider.Read 9 Oct 2026 · bran9910.github.io
Export
It offers one-click PDF report export and filtered CSV download.Read 9 Oct 2026 · bran9910.github.io
Exports
Users can export a PDF report and download filtered CSV data.Read 9 Oct 2026 · bran9910.github.io
File size limit
The maker describes CSV support up to approximately 50 MB.Read 9 Oct 2026 · bran9910.github.io
Import limit
The site describes CSV uploads up to approximately 50 MB.Read 9 Oct 2026 · bran9910.github.io
Intended audience
The maker describes DataLens as an auto-report generator for analysts who would rather not start a notebook.Read 9 Oct 2026 · bran9910.github.io
Interface
The GitHub README says the interface is available in French and English.Read 9 Oct 2026 · github.com
Interface languages
The GitHub project page states that the interface is available in French and English.Read 9 Oct 2026 · github.com
Local use
The app can be opened as a local HTML file or served from a local HTTP server.Read 9 Oct 2026 · github.com
Offline use
The site says DataLens runs offline and requires no installation or backend.Read 9 Oct 2026 · bran9910.github.io
Statistics
It calculates Pearson correlations and displays them in a heatmap.Read 9 Oct 2026 · bran9910.github.io

Strong points and limits

Strong points

  • Imports multiple CSVs or pasted data
  • Eight chart types and correlation heatmaps
  • Offers PDF reports and filtered CSV downloads
  • Runs offline without installation or backend
  • French and English interface

Limits

  • CSV uploads are limited to approximately 50 MB
  • No SQL connections

Who it suits

It suits analysts looking to generate reports from CSV files without starting a notebook. It can also fit workflows that need natural-language queries and browser-based or local use.

Verdict

DataLens focuses on browser-based CSV analysis, with charts, automatic insights, and two export formats. Its offline operation and multiple AI-provider options add flexibility, while the stated file-size limit and lack of SQL connections define its scope.

Where Specifiction places it

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