altimate-datapilot-cli
Assistant for Data Teams
Decision gist · record as of 2026-08-14
Yes, if you need a CLI-based data assistant for your team. Active maintenance, permissive MIT license, low install friction, and no known vulnerabilities make it safe to adopt. The recent dependency relaxation (mcp pin) shows responsive upstream care. Verify that its specific SQL and AI capabilities align with your workflow before committing.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later; designed as a CLI tool, so primary usage is via command-line invocation rather than direct library import.
- Low friction install with a pure-Python wheel.
- Active maintenance: last commit 2026-07-29, released 16 days ago.
License · maintenance · safety
MIT (permissive) — MIT license (permissive) means you can use, modify, and distribute this package with minimal restrictions—suitable for both commercial and open-source projects.
last release 2026-07-29 (16 days) · last repo commit 2026-07-29 · 43 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 110,598 downloads/mo, #12,450 on PyPI
Alternatives
Verify before relying
pip install altimate-datapilot-cli
from altimate_datapilot_cli import cli
# Then invoke via command line: datapilot-cli [commands]- What specific SQL analysis or data team workflows the assistant supports—the fact sheet does not detail feature scope.
- Whether the MCP integration enables external tool/model connections and what those might be.
- Performance characteristics or scalability limits for typical data team workloads.
What it is and what it does
Altimate DataPilot CLI is a command-line assistant built for data teams, combining SQL query analysis (via sqlglot), configuration management (ruamel.yaml), and clipboard integration (pyperclip) into a unified tool. It uses the Model Context Protocol (mcp) to interface with external services and relies on pydantic for data validation and python-dotenv for environment configuration.
The package is positioned as a productivity tool for data workflows, letting teams interact with data analysis tasks through a CLI rather than a GUI. With low install friction (pure Python wheel), active maintenance, and support for Python 3.8–3.12, it's ready for immediate use in modern Python environments.
Use it for
- Automate SQL query analysis and validation from the command line in data pipelines.
- Integrate data team workflows with external AI models or tools via the MCP protocol.
- Manage data configuration and environment variables for multi-environment data projects.
- Copy and share query results or analysis output via clipboard integration.
- Build scripted data workflows that combine SQL parsing, configuration, and external API calls.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need a CLI-based data assistant for your team.
Active maintenance, permissive MIT license, low install friction, and no known vulnerabilities make it safe to adopt. The recent dependency relaxation (mcp pin) shows responsive upstream care. Verify that its specific SQL and AI capabilities align with your workflow before committing.
Install
altimate-datapilot-cli on PyPI
Before you install
Low friction install with a pure-Python wheel. Active maintenance: last commit 2026-07-29, released 16 days ago. Dependency pin recently relaxed (0.3.1) to allow mcp 1.x versions, suggesting responsive upstream management.
Requires Python 3.8 or later; designed as a CLI tool, so primary usage is via command-line invocation rather than direct library import.
License in practice
MIT license (permissive) means you can use, modify, and distribute this package with minimal restrictions—suitable for both commercial and open-source projects.
Quickstart
pip install altimate-datapilot-cli
from altimate_datapilot_cli import cli
# Then invoke via command line: datapilot-cli [commands]Verify before relying
- What specific SQL analysis or data team workflows the assistant supports—the fact sheet does not detail feature scope.
- Whether the MCP integration enables external tool/model connections and what those might be.
- Performance characteristics or scalability limits for typical data team workloads.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 9 packagesclickpydanticruamel.yamltabulaterequestssqlglotmcppyperclippython-dotenv |
| Maintenance | Actively maintained 16 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 110,598 / month, #12,450 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: Microsoft :: WindowsOperating System :: POSIXOperating System :: UnixProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPyTopic :: Utilities |
Evidence: altimate_datapilot_cli-0.3.5-py3-none-any.whl
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