jupyter
PyPIv1.1.1Jupyter metapackage. Install all the Jupyter components in one go.
Adopt with care
jupyter is usable, with caveats. Last published 741 days ago.
- ?Adoption: grade ?, Not reported by this registry.
No download data reported for this package yet.
- DMaintenance: grade D, Poor — a real concern.
Last published 741 days ago.
- BWeight: grade B, Good.
Pulls in 11 transitive packages, about 5.7 MB installed (at least — some of the tree is still being crawled).
- BSupply chain: grade B, Good.
This package has a single maintainer (bus factor of 1).
- ALicense: grade A, Excellent.
BSD — permissive, with no copyleft found in the dependency tree.
Grades are computed deterministically from registry metadata collected by PackageGraph — downloads, dependents, publish dates, the resolved dependency tree, maintainer count, and declared licenses. No third-party scores are used.
Install cost
What you actually take on by adding jupyter to a project.
Runtime packages this one declares itself.
Distinct packages in the full runtime tree, deduplicated the way a package manager would.
Unpacked size of this package plus its entire runtime tree.
Longest resolved dependency chain below this package.
Part of this dependency tree has not been crawled yet, so these figures are a lower bound rather than a final total.
Licenses in the dependency tree
Every license you inherit by installing jupyter, not just its own. Check this before a legal review, not after.
Compatibility
- Python
- No constraint declared
Dependencies
Declared by jupyter v1.1.1. Runtime dependencies are installed with the package; dev dependencies are not.
Runtime (6)
Relationship graph
Dependencies (left) and dependents (right) of jupyter.
Release history
No releases in the last two years, typically about 3305 days apart.
| Version | Published | Size | License |
|---|---|---|---|
| 1.1.1latest | 2 years ago | 2.6 KB | BSD |
| 1.1.0 | 2 years ago | 2.2 KB | BSD |
| 1.0.0 | 11 years ago | 2.7 KB | BSD |
| 0.0.0 | — | — | BSD |
Overview
jupyter is an PyPI package that jupyter metapackage. Install all the Jupyter components in one go. The latest version is 1.1.1, released under the BSD license.
Who should use it
Teams working in the PyPI ecosystem who need jupyter metapackage. Install all the Jupyter components in one go and value a focused solution.
When not to use it
Consider an alternative if you need to or if a more actively-maintained option better fits your PyPI stack.
Pros
- Clear open-source license (BSD).
Cons
- No significant drawbacks detected from available metadata.
Auto-generated from collected registry metadata. No external claims are inferred.
Maintainers
Frequently asked questions
Should I use jupyter?
jupyter is usable, with caveats. Last published 741 days ago.
How do I install jupyter?
Run `pip install jupyter` to add jupyter to your PyPI project.
How many dependencies does jupyter have?
jupyter declares 6 direct dependencies and pulls in 11 packages in total once its runtime tree is resolved totalling about 5.7 MB on disk.
What license is jupyter released under?
jupyter is distributed under the BSD license. Its dependency tree also includes: Apache-2.0, BSD 3-Clause License - Copyright (c) 2001-2015, IPython Development Team - Copyright (c) 2015-, Jupyter Development Team All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE..
Is jupyter still maintained?
The most recent release of jupyter (v1.1.1) was published 2 years ago.