README
¶
DataTug CLI & agent for web UI
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DataTug is an open-source, CLI-first data exploration platform with a Web UI, designed to help you explore, query, and connect data across multiple sources without losing context. It automatically surfaces related data — even across different systems — so you can move naturally between datasets, queries, and results. Free for personal use, DataTug keeps your workflows transparent, versioned, and portable, whether you work locally, in GitHub, or in the cloud. |
Our approach to development
We build with our own tooling:
- SpecScore — specify requirements as
SpecScore.mdartifacts - SpecStudio — author & manage specs across their lifecycle
- inGitDB — store structured data in Git where applicable
- DALgo — data access layer for Go
- cover100.dev — drive toward 100% test coverage
- DataTug — query & explore data
♺ Continuous Integration — 
Help wanted to get test coverage to 100%.
Installation
macOS / Linux — curl
curl -fsSL https://datatug.io/install/get-cli | sh
Environment overrides: DATATUG_VERSION (default: latest release), DATATUG_INSTALL_DIR (default: /usr/local/bin or ~/.local/bin).
Windows — PowerShell
powershell -c "irm https://datatug.io/install/get-cli.ps1 | iex"
Environment overrides: DATATUG_VERSION, DATATUG_INSTALL_DIR (default: %LOCALAPPDATA%\Programs\datatug\bin).
macOS — Homebrew (tap)
brew tap datatug/tap
brew install datatug
Any platform — Go
go install github.com/datatug/datatug-cli@latest
What you can do with DataTug
- Explore data everywhere — SQL databases, cloud data sources, logs, and APIs (HTTP / REST)
- CLI-first workflows with a Web UI — dashboards, charts, and shared views
- Create parametrised queries and query sets for repeatable troubleshooting and investigation scenarios
- Automatically navigate related data across tables, views, APIs, and different data sources
- Build data pipelines to transform, combine, and enrich data
- Document schemas and metadata with a built-in wiki
- Version everything with Git — queries, dashboards, pipelines, and settings stored as readable project files
- Choose where your project lives:
- Local directory (fully offline)
- GitHub repository
- DataTug Cloud
DataTug turns scattered data into a connected, navigable workspace — combining the speed of the CLI with the clarity of a Web UI for exploration, troubleshooting, and collaboration.
What it is and why?
This is an agent service for https://datatug.app that you can run on your local machine, or some server to allow DataTug app to scan databases & execute SQL requests.
It can be run with your user account credentials (e.g. trusted connection) or under some service account.
Would you steal my data?
No, we won't.
The project is free and open source codes available at https://github.com/datatug/datatug. You are welcome to check - we do not look into your data.
You can easily get executable of the agent from source codes using next command:
go install github.com/datatug/datatug
Note: Go language should be pre-installed
Where are metadata stored?
When DataTug agent scans or compare your database it stores meta information in a datatug project as set of simple to understand & easy to compare JSON files.
We recommend to check-in the project to some source versioning control system like GIT.
You can run commands for different projects by passing path to DataTugProject folder. E.g.:
> datatug show --project ~/my-datatug-projects/DemoProject
Paths to the DataTug project files, and their names are stored in ~/datatug.yaml in the root of your user's home
directory.
This allows you to address a DataTug project in a console using a short alias. Like this:
> datatug show -p DemoProject
If the current directory is a DataTug project folder you don't need to specify project name or path.
> datatug show
How to get DataTug agent CLI?
Get from source codes by running:
> go install github.com/datatug/datatug
If it passes you are good to go:
> datatug --help
How to run?
Check the CLI section on how to run DataTug agent.
Supported databases
At the moment we any DB supported by DALgo. Like:
Supported sql Databases:
Datatug can work with sql DBs if a relevant driver has been linked into datatug
- SQLite - via github.com/mattn/go-sqlite3
- Microsoft SQL Server - via go-mssqldb
We are open for pull requests to support other sql DBs.
For developers
Read README-dev.md for details on how to setup, debug, and contribute.
Sample Databases
By Database Platform
- SQLite
- MS SQL Server
- Oracle
Northwind Database
Open Source Libraries we use
- tview - Terminal UI library with rich, interactive widgets — written in Golang
- DALgo - Database Abstraction Layer for Go
- https://gihub.com/strongo/validation - helpers for requests & models validations
Contributing
We welcome contributions to DataTug! Please read our contributing guidelines for more information on how to contribute to the project.
Download
License
Apache License
Documentation
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There is no documentation for this package.
Source Files
Directories
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| Path | Synopsis |
|---|---|
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pkg
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accesspolicies
Package accesspolicies discovers and decodes the DALgo access policies a DataTug user keeps on disk, runs a query through them as a secured application would, and explains what the policies did to that query.
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Package accesspolicies discovers and decodes the DALgo access policies a DataTug user keeps on disk, runs a query through them as a secured application would, and explains what the policies did to that query. |
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datatug-core/storage
Package dtprojcreator is a generated GoMock package.
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Package dtprojcreator is a generated GoMock package. |
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dbcopy
Package dbcopy implements the `datatug db copy` cross-engine database copy primitive.
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Package dbcopy implements the `datatug db copy` cross-engine database copy primitive. |
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dbcopy/filter
Package filter — CLI mini-syntax parsers.
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Package filter — CLI mini-syntax parsers. |
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httpsource
Package httpsource translates a datatug project's HTTP-type QueryDefs into a dalgo2http-backed dal.DB: one dalgo2http.Collection per query (see BuildCollection for the translation and its sensible-default policy for RowsPath/KeyField, since the QueryDef JSON schema does not yet carry those explicitly), snapshot fallback wired to the project's fixtures/http/ directory (see fixtureFS for how its flatly-named fixture files are bridged to dalgo2http's per-request snapshot keying), live-then-snapshot mode.
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Package httpsource translates a datatug project's HTTP-type QueryDefs into a dalgo2http-backed dal.DB: one dalgo2http.Collection per query (see BuildCollection for the translation and its sensible-default policy for RowsPath/KeyField, since the QueryDef JSON schema does not yet carry those explicitly), snapshot fallback wired to the project's fixtures/http/ directory (see fixtureFS for how its flatly-named fixture files are bridged to dalgo2http's per-request snapshot keying), live-then-snapshot mode. |
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secureread
Package secureread is the policy-enforced read executor for the DataTug agent server (`datatug serve`).
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Package secureread is the policy-enforced read executor for the DataTug agent server (`datatug serve`). |
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sneatv
Package sneatv keeps the small compatibility surface used by datatug-cli while filetug's UI helpers live in dedicated packages.
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Package sneatv keeps the small compatibility surface used by datatug-cli while filetug's UI helpers live in dedicated packages. |