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DataLine

dataline.app

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Spec score 7.8 #6 of 22 in Agentic Analytics Software

What it is

DataLine is an AI tool for querying data in natural language and turning results into tables, charts, dashboards, and reports. It can generate and execute SQL from prompts, then lets users edit, save, and rerun the SQL results; chart queries can also be edited and refreshed. Listed connections include Postgres, Snowflake, MySQL, Azure SQL Server, Microsoft SQL Server, Excel, SQLite, CSV, and sas7bdat. The project is open source under GPL-3.0 and offers a free plan, with binaries and a Docker image for installation. It runs on Linux, macOS, Windows, web, and self-hosted environments. The maker says data is accessed and stored on the user's device rather than in cloud storage, and the README says data is hidden from the LLMs used by default. Docker is described as more suitable for business use. Self-hosted mode has basic username and password authentication, while the executable does not; the current setup supports one user. Excel sheets are imported as separate tables, and the import fails if any sheet fails.

Spec sheet

Product
DataLine is an AI data analysis and visualization tool that lets users chat with data to generate tables, charts, and dashboards.Read 29 Sep 2026 · dataline.app
Intended users
The site describes DataLine as useful for non-technical people querying data and developers seeking a text-to-SQL solution.Read 29 Sep 2026 · dataline.app
Audience
The maker describes it as useful for non-technical people querying data and developers seeking a text-to-SQL tool.Read 28 Sep 2026 · dataline.app
Deployment
The project offers downloadable binaries and a Docker image, and says Docker is more suitable for business use.Read 28 Sep 2026 · github.com
Privacy
The site says data is accessed and stored on the user's device and that nothing is stored in the cloud.Read 29 Sep 2026 · dataline.app
Support
The privacy policy provides [email protected] for questions about privacy or data practices.Read 29 Sep 2026 · dataline.app
Authentication limit
Basic username and password authentication is supported in self-hosted mode, but not when running the executable; the README says the current setup supports a single user.Read 28 Sep 2026 · github.com
Company timeline
The About page lists the first prototype in April 2023, team formation in January 2024, and open sourcing in February 2024.Read 29 Sep 2026 · dataline.app
Data sources
The project lists connections to Postgres, Snowflake, MySQL, Azure SQL Server, Microsoft SQL Server, Excel, SQLite, CSV, and sas7bdat.Read 28 Sep 2026 · github.com
Database support
The site lists PostgreSQL, MySQL, SQLite, Microsoft SQL Server, Snowflake, and BigQuery as supported databases.Read 29 Sep 2026 · dataline.app
Downloads
The site lists Docker, macOS Intel, macOS Apple Silicon, Windows, Linux, Homebrew, and GitHub Releases as installation options.Read 29 Sep 2026 · dataline.app
File support
The site lists CSV and Excel support.Read 29 Sep 2026 · dataline.app
Founders
The About page names Rami Awar and Anthony Malkoun as the team behind DataLine.Read 29 Sep 2026 · dataline.app
History
The About page dates the first prototype to April 2023, the team formation to January 2024, and open-sourcing to February 2024.Read 28 Sep 2026 · dataline.app
LLM handling
The project README says DataLine hides data from the LLMs used by default, and that this can be disabled when the data is not sensitive.Read 28 Sep 2026 · github.com
Local LLM
The site marks local LLM support as “Coming soon.”Read 29 Sep 2026 · dataline.app
Maker and team
The About page names Rami Awar and Anthony Malkoun as the team behind DataLine.Read 28 Sep 2026 · dataline.app
Natural-language queries
DataLine can generate and execute SQL from natural language, and users can modify, save, and rerun SQL results.Read 28 Sep 2026 · github.com
Open source
The site describes DataLine as an open-source platform and links to its project on GitHub.Read 29 Sep 2026 · dataline.app
Privacy policy
The privacy policy says database structure is processed locally and DataLine does not access or store it; it also says optional error reporting may send information through Sentry.Read 29 Sep 2026 · dataline.app
Spreadsheet limit
Excel sheets are ingested as separate tables; the README advises placing column names in the first row and removing padding rows and columns, and says an import fails if any sheet fails.Read 28 Sep 2026 · github.com
Third-party integrations
The privacy policy says users who configure third-party integrations such as LangSmith tracing may share information with those services.Read 29 Sep 2026 · dataline.app
Visualization
The site lists data visualization and describes generating tables, charts, and dashboards.Read 29 Sep 2026 · dataline.app

Strong points and limits

Strong points

  • Free plan; open-source under GPL-3.0
  • Generates and executes SQL from natural-language prompts
  • Edits, saves, and reruns SQL results
  • Supports dashboards, reports, and chart refreshes
  • Available for Linux, macOS, Windows, web, and self-hosting

Limits

  • Executable mode does not support authentication
  • Current setup supports a single user
  • Excel import fails if any sheet fails
  • Local LLM support is marked coming soon

Who it suits

DataLine may suit non-technical users who want to ask questions of data, as well as developers looking for a text-to-SQL tool. Its listed database and file connections cover several common data formats.

Verdict

DataLine combines natural-language SQL with charting, dashboards, and report building, and offers a free plan across several platforms. Note the single-user setup and differences in authentication between self-hosted mode and the executable.

Where Specifiction places it

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