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dataplat

PyPI·Infrastructure

dataplat is a command-line tool that provides a unified interface to manage entire data platforms. It orchestrates databases, data ingestion (Airbyte), transformation (dbt), BI tools (Superset), cloud resources (AWS), and CI pipelines from a single command. Designed for data engineers and platform teams who need to simplify the setup, maintenance, and operation of modern data stacks.

Open SourceMIT
CLI
D
Visit PyPI↗

Overview

3 features

dataplat is a CLI tools & terminal product. It focuses on coordinating and managing complex data platform components (databases, ETL, BI, cloud resources) across multiple tools. It is built as an open-source project for data engineers. dataplat is open source under the MIT license. The product ships for the command line.

dataplat first shipped in 2026. Development happens publicly on GitHub with 4 commits in the last 90 days. Key capabilities include data platform management, one-command orchestration, and multi-tool integration.

  • ✓Data platform management
  • ✓One-command orchestration
  • ✓Multi-tool integration

Tags

data-platforminfrastructure-orchestrationdevops-clidata-tooling

Built with & integrations

Runs on
CLI

Trust & compliance

LicenseMIT
Verified signals
✓ HTTPS✓ Open Source✓ GitHub✓ Active maintenance

Recent events

Latest indexed changes and source events

  1. IndexedJul 24, 1:44 PM

    dataplat verified by the PulseGate indexer

    Source: PulseGate indexerOpen ↗

Frequently asked questions about dataplat

What does dataplat do?
Dataplat focuses on coordinating and managing complex data platform components (databases, ETL, BI, cloud resources) across multiple tools. It is catalogued under CLI tools & terminal on PulseGate.
Who is dataplat for?
dataplat is an open-source project built for data engineers.
Is dataplat free?
Yes — dataplat is open source under the MIT license and free to use.
What platforms does dataplat run on?
dataplat runs on the command line.
Is dataplat still maintained?
PulseGate's liveness checks currently classify dataplat as active. The GitHub repository shows 4 commits in the last 90 days.
What are alternatives to dataplat?
Similar tools tracked by PulseGate include DataLab, dataqual, and DataLab.DataLabdataqualDataLab
When did dataplat launch?
dataplat first shipped in 2026.
Is dataplat open source?
Yes — dataplat is open source under the MIT license, developed on GitHub.

At a glance

Platforms
Cli
Languages
English
Open source
Yes (GitHub)
License
MIT
First seen
Jul 24, 2026
Activity
🟢 Active
Status
🟢 Active
Built for
data engineers
Model
Open source
Solves
Coordinating and managing complex data platform components (databases, ETL, BI, cloud resources) across multiple tools.

Developer

Hanslemm
Solo developer
↗ GitHub

Open source

View on GitHub →
⭐ Stars
0
🍴 Forks
0
Open issues
0
Last commit
5d ago
Commits 90d
4
Contributors
1
Authorship
Solo
Default branch
main
Latest release
0.1.0 · 5d ago

Live coverage

Confidence
Low · 64
Indexed
Jul 24, 2026
Lifecycle
Alive
Activity
Active
First seen
Jul 2026
Last seen
5d ago
Identity audit (10)
Entity ID
cmryzspz309qonxhtrc97916i
Slug
dataplat-pypi-org
Lifecycle last checked
Jul 24, 2026
Verification state
Indexed for public listing
Claim / listing state
Unclaimed · listed: yes
Index status
Included in index
Latest evidence snapshot
Jul 24, 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Last updated
Jul 24, 2026
Canonical URL
https://pypi.org/project/dataplat

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