Package Health Score

88 / 100

security
No known security issues
popularity
Popular
maintenance
Healthy
community
Active

Explore Similar Packages

Popularity

Popular

Total Weekly Downloads (85,237)

GitHub Stars: 2.52K
Forks: 382
Contributors: 130

Direct Usage Popularity

The PyPI package holoviews receives a total of 85,237 downloads a week. As such, we scored holoviews popularity level to be Popular.

Based on project statistics from the GitHub repository for the PyPI package holoviews, we found that it has been starred 2,522 times.

The download numbers shown are the average weekly downloads from the last 6 weeks.

Security

No known security issues

Security and license risk for latest version

Release Date: Nov 8, 2023
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

BSD-3-Clause

Security Policy

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

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Maintenance

Healthy

Commit Frequency

Open Issues: 1K
Open PR: 40
Last Release: 26 days ago
Last Commit: 6 days ago

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

We found that holoviews demonstrates a positive version release cadence with at least one new version released in the past 3 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

Active

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 130
Funding: Yes

A good and healthy external contribution signal for holoviews project, which invites more than one hundred open source maintainers to collaborate on the repository.

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

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Package

Python Versions Compatibility: >=3.9

Age: 9 years
Latest Release: 13 days ago
Dependencies: 7 Direct
Versions: 149
Maintainers: 2
Wheels: OS Independent

Not sure how to use holoviews?

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

DeniseCaiLab / minian / minian / visualization.py View on Github

def _temp_comp_sub(self, usub=None):
        if usub is None:
            usub = self.strm_usub.usub
        if self._normalize:
            C, S = self.C_norm_sub, self.S_norm_sub
        else:
            C, S = self.C_sub, self.S_sub
        cur_temp = dict()
        if self._showC:
            cur_temp['C'] = (
                hv.Dataset(C.sel(unit_id=usub)
                           .compute().rename("Intensity (A. U.)")
                           .dropna('frame', how='all')).to(hv.Curve, 'frame'))
        if self._showS:
            cur_temp['S'] = (
                hv.Dataset(S.sel(unit_id=usub)
                           .compute().rename("Intensity (A. U.)")
                           .dropna('frame', how='all')).to(hv.Curve, 'frame'))
        cur_vl = (hv.DynamicMap(
            lambda f, y: hv.VLine(f) if f else hv.VLine(0),
            streams=[self.strm_f])
                  .opts(style=dict(color='red')))
        cur_cv = hv.Curve([], kdims=['frame'], vdims=['Internsity (A.U.)'])
        self.strm_f.source = cur_cv
        h_cv = len(self._w) // 8
        w_cv = len(self._w) * 2
        temp_comp = (cur_cv
                     * datashade_ndcurve(hv.HoloMap(cur_temp, 'trace')
                                         .collate().overlay('trace')

View more ways to use holoviews

HoloViews

Stop plotting your data - annotate your data and let it visualize itself.


Build Status
Coverage
Latest dev release
Latest release
Python
Docs
Binder
Support

HoloViews is an open-source Python library designed to make data analysis and visualization seamless and simple. With HoloViews, you can usually express what you want to do in very few lines of code, letting you focus on what you are trying to explore and convey, not on the process of plotting.

Check out the HoloViews web site for extensive examples and documentation.

Installation

HoloViews works with Python 3 on Linux, Windows, or Mac, and works seamlessly with Jupyter Notebook and JupyterLab.

The recommended way to install HoloViews is using the conda command provided by Anaconda or Miniconda:

conda install -c pyviz holoviews bokeh

This command will install the typical packages most useful with HoloViews, though HoloViews itself depends only on Numpy Pandas and Param. Additional installation and configuration options are described in the user guide.

You can also clone holoviews directly from GitHub and install it with:

git clone git://github.com/holoviz/holoviews.git
cd holoviews
pip install -e .

Usage

Once you've installed HoloViews, you can get a copy of all the examples shown on this website:

holoviews --install-examples
cd holoviews-examples

Now you can launch Jupyter Notebook or JupyterLab to explore them:

jupyter notebook

jupyter lab

If you are working with a JupyterLab version <2.0 you will also need the PyViz JupyterLab extension:

jupyter labextension install @pyviz/jupyterlab_pyviz

For more details on setup and configuration see our website.

For general discussion, we have a gitter channel. If you find any bugs or have any feature suggestions please file a GitHub issue or submit a pull request.

holoviews dependencies

colorcet numpy packaging pandas panel param pyviz-comms

FAQs

What is holoviews?

Stop plotting your data - annotate your data and let it visualize itself. Visit Snyk Advisor to see a full health score report for holoviews, including popularity, security, maintenance & community analysis.

Is holoviews popular?

The python package holoviews receives a total of 85,237 weekly downloads. As such, holoviews popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is holoviews well maintained?

We found that holoviews demonstrated a healthy version release cadence and project activity. It has a community of 130 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is holoviews safe to use?

The python package holoviews 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 5 December-2023, at 04:57 (UTC).

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holoviews

Stop plotting your data - annotate your data and let it visualize itself. For more information about how to use this package see README

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Package Health Score

Explore Similar Packages

Popularity

Total Weekly Downloads (85,237)

Direct Usage Popularity

Security

Security and license risk for latest version

Maintenance

Commit Frequency

Community

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Package

Not sure how to use holoviews?

HoloViews

Installation

Usage

holoviews dependencies

FAQs

What is holoviews?

Is holoviews popular?

Is holoviews well maintained?

Is holoviews safe to use?

Build a secure application checklist

Select a recommended open source package

Scan your app for vulnerabilities

Fix identified vulnerabilities

Monitor for new issues

Package Health Score

Explore Similar Packages

Total Weekly Downloads (85,237)

Direct Usage Popularity

Security and license risk for latest version

Commit Frequency

Embed Package Health Score Badge

Keep your project healthy

Check your requirements.txt

Snyk Vulnerability Scanner

Not sure how to use holoviews?

HoloViews

Installation

Usage

holoviews dependencies

FAQs

What is holoviews?

Is holoviews popular?

Is holoviews well maintained?

Is holoviews 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