Package Health Score

82 / 100

security
No known security issues
popularity
Popular
maintenance
Healthy
community
Sustainable

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97

Popularity

Popular

GitHub Stars: 1.49K
Forks: 364
Contributors: 90

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package ipyleaflet, we found that it has been starred 1,490 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Jul 22, 2024
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

We found a way for you to contribute to the project! Looks like ipyleaflet is missing a security policy.

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Maintenance

Healthy

Commit Frequency

Open Issues: 262
Open PR: 37
Last Release: 4 months ago
Last Commit: 28 days ago

Further analysis of the maintenance status of ipyleaflet based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that ipyleaflet demonstrates a positive version release cadence with at least one new version released in the past 12 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 90
Funding: No

With more than 10 contributors for the ipyleaflet repository, this is possibly a sign for a growing and inviting community.

We found a way for you to contribute to the project! Looks like ipyleaflet is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.8

Age: 9 years
Latest Release: 4 months ago
Dependencies: 0 Direct
Versions: 81
Maintainers: 6
Wheels: OS Independent

Not sure how to use ipyleaflet?

To help you get started, we've collected the most common ways that ipyleaflet is being used within popular public projects.

jupyter-widgets / ipyleaflet / ipyleaflet / leaflet.py View on Github

self._add_unit(name, factor, decimals)

    def add_area_unit(self, name, factor, decimals=0):
        self._area_units.append(name)
        self._add_unit(name, factor, decimals)

    def _add_unit(self, name, factor, decimals):
        self._custom_units_dict[name] = {
            'factor': factor,
            'display': name,
            'decimals': decimals
        }
        self._custom_units = dict(**self._custom_units_dict)


class SplitMapControl(Control):
    _view_name = Unicode('LeafletSplitMapControlView').tag(sync=True)
    _model_name = Unicode('LeafletSplitMapControlModel').tag(sync=True)

    left_layer = Union((Instance(Layer), List(Instance(Layer)))).tag(sync=True, **widget_serialization)
    right_layer = Union((Instance(Layer), List(Instance(Layer)))).tag(sync=True, **widget_serialization)

    @default('left_layer')
    def _default_left_layer(self):
        return TileLayer()

    @default('right_layer')
    def _default_right_layer(self):
        return TileLayer()

    def __init__(self, **kwargs):
        super(SplitMapControl, self).__init__(**kwargs)

View more ways to use ipyleaflet

ipyleaflet

A Jupyter / Leaflet bridge enabling interactive maps in the Jupyter notebook.

Usage

Selecting a basemap for a leaflet map:

Basemap Screencast

Loading a geojson map:

GeoJSON Screencast

Making use of leafletjs primitives:

Primitives Screencast

Using the splitmap control:

Splitmap Screencast

Displaying velocity data on the top of a map:

Velocity Screencast

Choropleth layer:

Choropleth Screencast

Widget control

Widget Control

Installation

Using conda:

conda install -c conda-forge ipyleaflet

Using pip:

pip install ipyleaflet

Installation from sources

For a development installation (requires yarn, you can install it with conda install -c conda-forge yarn):

git clone https://github.com/jupyter-widgets/ipyleaflet.git
cd ipyleaflet
(cd python/jupyter_leaflet; pip install -e .)
(cd python/ipyleaflet; pip install -e .)

For developing with JupyterLab:

jupyter labextension develop --overwrite jupyter_leaflet

Documentation

To get started with using ipyleaflet, check out the full documentation

https://ipyleaflet.readthedocs.io/

License

We use a shared copyright model that enables all contributors to maintain the copyright on their contributions.

This software is licensed under the MIT license. See the LICENSE file for details.

Related projects

The ipyleaflet repository includes the jupyter-leaflet npm package, which is a front-end component, and the ipyleaflet python package which is the backend for the Python Jupyter kernel.

Similarly, the xleaflet project provides a backend to jupyter-leaflet for the "xeus-cling" C++ Jupyter kernel.

Xleaflet Screencast

FAQs

What is ipyleaflet?

A Jupyter widget for dynamic Leaflet maps. Visit Snyk Advisor to see a full health score report for ipyleaflet, including popularity, security, maintenance & community analysis.

Is ipyleaflet popular?

The python package ipyleaflet receives a total of 43,001 weekly downloads. As such, ipyleaflet popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is ipyleaflet well maintained?

We found that ipyleaflet demonstrated a healthy version release cadence and project activity. It has a community of 90 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is ipyleaflet safe to use?

The python package ipyleaflet was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 18 November-2024, at 12:34 (UTC).

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Package Health Score

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Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

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Snyk Vulnerability Scanner

Not sure how to use ipyleaflet?

ipyleaflet

Usage

Selecting a basemap for a leaflet map:

Loading a geojson map:

Making use of leafletjs primitives:

Using the splitmap control:

Displaying velocity data on the top of a map:

Choropleth layer:

Widget control

Installation

Installation from sources

Documentation

License

Related projects

FAQs

What is ipyleaflet?

Is ipyleaflet popular?

Is ipyleaflet well maintained?

Is ipyleaflet safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Source Code

Open Source

Container

Config

Fix identified vulnerabilities

Monitor for new issues