datahub
Dummy package for acryl-datahub
Decision gist · record as of 2026-08-14
No—install acryl-datahub directly instead. This package is a historical artifact that serves no purpose for end users. It exists only to prevent name squatting and redirect old install commands. If you need datahub functionality, use `pip install acryl-datahub`. If you already have this package, it will pull in acryl-datahub anyway, so there is no advantage to keeping it.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Installation is frictionless (pure Python wheel, single dependency on acryl-datahub), but the package itself is abandoned as of 1238 days ago.
- It functions only as a redirect; active development and maintenance happen in acryl-datahub.
License · maintenance · safety
MIT (permissive) — MIT permissive license imposes no restrictions on use or redistribution. This is a minimal shim, so licensing concerns are negligible.
last release 2023-03-25 (1238 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 138,212 downloads/mo, #11,337 on PyPI
Alternatives
Verify before relying
pip install datahub
# This installs acryl-datahub instead.
# Use acryl-datahub's API directly; datahub itself provides no functionality.- Whether acryl-datahub is actively maintained and what its current feature set is.
- Whether this redirect package will remain available or be deprecated in favor of direct installation of acryl-datahub.
What it is and what it does
datahub is a dummy package created by the acryl-datahub developers to occupy the PyPI name and prevent squatting. When installed, it pulls in acryl-datahub as its sole runtime dependency, ensuring that users who type `pip install datahub` end up with the correct package rather than a malicious or stale alternative.
This is not a functional tool itself—it is purely a namespace guard and convenience redirect. All actual data governance, metadata management, and API functionality lives in acryl-datahub. The package is abandoned (last release 2023-03-25) because it requires no maintenance; it exists only to route traffic to the real implementation.
Use it for
- Installing the correct datahub package when you search for 'datahub' on PyPI without knowing the real package name is acryl-datahub.
- Ensuring legacy scripts or documentation that reference `pip install datahub` continue to work without breaking.
- Protecting the datahub namespace from being claimed by a malicious or abandoned third party.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No—install acryl-datahub directly instead.
This package is a historical artifact that serves no purpose for end users. It exists only to prevent name squatting and redirect old install commands. If you need datahub functionality, use `pip install acryl-datahub`. If you already have this package, it will pull in acryl-datahub anyway, so there is no advantage to keeping it.
Install
datahub on PyPI
Before you install
Installation is frictionless (pure Python wheel, single dependency on acryl-datahub), but the package itself is abandoned as of 1238 days ago. It functions only as a redirect; active development and maintenance happen in acryl-datahub.
License in practice
MIT permissive license imposes no restrictions on use or redistribution. This is a minimal shim, so licensing concerns are negligible.
Quickstart
pip install datahub
# This installs acryl-datahub instead.
# Use acryl-datahub's API directly; datahub itself provides no functionality.
Verify before relying
- Whether acryl-datahub is actively maintained and what its current feature set is.
- Whether this redirect package will remain available or be deprecated in favor of direct installation of acryl-datahub.
Package facts
| License | MIT permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packageacryl-datahub |
| Maintenance | Abandoned 1,238 days since the last release |
| First released | |
| Downloads | 138,212 / month, #11,337 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 :: DevelopersProgramming Language :: PythonProgramming Language :: Python :: 3Topic :: Software Development :: Libraries :: Python Modules |
Evidence: datahub-0.999.1-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “datahub redirect package”
- datahubThis is a redirect package that installs acryl-datahub when you run…
- acryl-datahub-actionsAcryl-datahub-actions is an event-driven automation framework that…
- acryl-executorAcryl Executor runs DataHub metadata ingestion tasks in isolated…
Give your agent the search over MCP, or paste the wish link into any chat.
More Python Modules packages
Converts domain names between Unicode and ASCII-compatible encoding (Punycode) according to IDNA 2008 and Unicode Technical Standard 46, with security validation and broader script coverage than the standard library.
Install it if you work with internationalized domain names, need to validate domains, or use HTTP clients that depend on it transitively.
Setuptools is a Python build backend and package management tool that handles building, distributing, and installing Python packages, including support for C/C++ extension modules.
PyYAML parses and emits YAML 1.1 data format, enabling serialization and deserialization of configuration files and Python objects to and from human-readable YAML text.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides reusable metadata objects for use with PEP-593 `typing.Annotated` to express common constraints like bounds, collection sizes, and predicates on types.
Install it if you use or build libraries that need to express type constraints in a standardized, inspectable way—or if you want to annotate your own types with…
Provides runtime tools to inspect and introspect Python type annotations, enabling programmatic examination of type hints at execution time.
See also acryl-datahub · acryl-datahub-actions · acryl-datahub-classify · acryl-executor · bs4 · acryl-datahub-dagster-plugin · acryl-datahub-airflow-plugin · reducto · mkdocs-redirects · sail-sdk