Package Health Score

69 / 100

security
Security review needed
popularity
Limited
maintenance
Healthy
community
Sustainable

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Popularity

Limited

GitHub Stars: 150
Forks: 39
Contributors: 20

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package pybloqs, we found that it has been starred 150 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Oct 15, 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

LGPL-2.1

Non-Permissive License

We noticed that this project uses a license which requires less permissive conditions such as disclosing the source code, stating changes or redistributing the source under the same license. It is advised to further consult the license terms before use.

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 10
Open PR: 4
Last Release: 25 days ago
Last Commit: 2 months ago

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

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

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Sustainable

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 20
Funding: No

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

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Package

Python Versions Compatibility: >=3.6

Age: 8 years
Latest Release: 25 days ago
Dependencies: 9 Direct / 25 Total
Versions: 28
Maintainers: 2
Wheels: OS Independent

Readme

pybloqs

PyBloqs is a flexible framework for visualizing data and automated creation of reports.

pybloqs in use in ipython
notebook

It works with Pandas, matplotlib and highcharts. PyBloqs creates atomic blocks containing text, tables (from Pandas DataFrame), plots (matplotlib or highcharts) or images. All blocks can be styled with CSS. Each block can be created and displayed separately for fast development turnover. Lists of blocks can be stacked together to form reports. Reports can be displayed as HTML in the browser or exported in a variety of formats (including HTML, PDF, SVG, PNG).

Quickstart

Install PyBloqs

See the documentation for installation instructions.

Using PyBloqs

from pybloqs import Block, HStack, VStack
import pandas as pd
from matplotlib import pyplot as plt

text_block = Block('This is a text block', styles={'text-align':'center', 'color':'blue'})
text_block.show()

df = pd.DataFrame([[1., 2.],[3.,4.]], columns =['a', 'b'])
table_block = Block(df)
table_block.show()

plot_block = Block(plt.plot(df['a'], df['b']))
plot_block.show()

plot_and_table = HStack([plot_block, table_block])
report = VStack([text_block, plot_and_table])
report.show()
report.save('report.pdf')

Configuration

You can specify per-user default parameters in a yaml-formatted file ~/.pybloqs.cfg. This config file allows you to setup a call setup and login sequence against an smtplib.SMTP object. The following works for Google gmail - more detailshere.

smtp_kwargs:
  host: smtp.gmail.com
  port: 587
smtp_pre_login_calls:
- !!python/tuple
  - ehlo
  - {}
- !!python/tuple
  - starttls
  - {}
- !!python/tuple
  - ehlo
  - {}
smtp_login:
  user: me@gmail.com
  password: a_secret
public_dir: /tmp
tmp_html_dir: /tmp
user_email_address: me@gmail.com

Requirements

PyBloqs works with:

matplotlib
Pandas
html5lib
lxml
jinja2
markdown
beautifulsoup4
docutils

Acknowledgements

PyBloqs has been under active development at Man AHL since 2013.

Original concept and implementation: Tom Farnbauer

Contributors:

Contributions welcome!

License

PyBloqs is licensed under the GNU LGPL v2.1. A copy of which is included in LICENSE

Changelog

1.0.0 (2017-04-07)

Initial public release

1.0.1 (2017-04-13)

Integration with pypi and ReadTheDocs.
Installation on Mac and Windows.

1.0.2 (2017-04-26)

Metadata and badge for Python version.
Python 3 compatibility changes, part 1.
Installation with Coveralls.

1.0.3 (2017-04-26)

Bugfix: Import of urlparse corrected, fixes Block.show() .

1.1.0 (2017-05-10)

jQuery DataTables support.
HTML anchors.
Bugfix: Width of HTML-body no longer hard-coded.

1.1.1 (2017-05-10)

Bugfix: Static data including DataTables CSS.

1.1.2 (2017-06-2)

Bugfix: Image size for Matplotlib figure no longer truncated to whole number.
Updated download path for wkhtmltopdf in CI setup.

1.1.3 (2017-06-6)

Bugfix: Expansion of user home directory for show().
Bugfix: Flexible definition of default type handling for Block() that allows updating.

1.1.4 (2017-06-22)

Bugfix: When applying operator on rows or columns (e.g. in totals row), replace nan with zero.

1.1.5 (2017-08-22)

Bugfix: Multi-index formatter can now digest DataFrame with nun-unique multi-index.
Bugfix: ReadTheDocs autodoc build fixed.

1.1.6 (2017-08-23)

Bugfix: Unicode meta tag set in html output and unicode strings working wit Raw() block.

1.1.7 (2018-02-23)

Feature: More SMTP options
Feature: UTF-8 email mime-type
Feature: Allow BCC for email

1.1.8 (2018-03-26)

Bugfix: FmtHighlightText - explicitly set non-bold for column header
Feature: Add page break example to documentation
Bugfix: Pass apply_to_header_and_index to base class on all formatters

1.1.9 (2018-09-19)

Bugfix: Indexing error in table.html with non-unique indices
Bugfix: Removed Pandas warning in tests
Remove WidePanel, update ipynb
Feature: Add support for specifying different text colors for MultiIndex levels
Feature: Add a context manager for temporarily setting plot format/DPI

1.2.0 (2018-11-21)

Feature: Python 3 support
Feature: Support for Bokeh plots
Feature: Support for Plotly plots
Feature: Allow use of different HTML conversion backends
Feature: Added Chrome-headless backend for HTML->PDF conversion
Updated CircleCI configuration to version 2

1.2.1 (2018-11-23)

Bugfix: Removed pybloqs.plot import from top-level init.py
Bugfix: puppeteer.js now included in egg/wheel packaging

1.2.2 (2018-11-27)

Bugfix: Added missing formatter arg for wkhtmltox failure logging

1.2.3 (2018-12-03)

Bugfix: Ensured python2 strings were being correctly encoded

1.2.4 (2019-03-27)

Bugfix: Maintain static import ordering

1.2.5 (2019-06-25)

Bugfix: Totals Row formatter no longer inserts NaN for non-numeric columns.

1.2.6 (2019-07-17)

Feature: Passing kwargs to plotly plot function.

1.2.7 (2019-08-06)

Bugfix: Use require.js for Plotly and Highcharts inside Jupyter
Moved id_precision to user_config
Use tmp_html_dir everywhere

1.2.8 (2020-08-25)

Bugfix: Use colgroup tag for FmtHeader width specification
Bugfix: Do not merge MultiIndex cells if parent cells not merged
Bugfix: Pass actual header cell contents to formatter methods
Feature: Add ability to vertically merge MultiIndex labels

1.2.9 (2020-12-02)

Bugfix: Fix header positions when index is a MultiIndex
Bugfix: Fix MultiIndex styling
Feature: Add formatter for vertical-align

1.2.10 (2020-12-03)

Bugfix: Pass only single row name into formatter from jinja table template

1.2.11 (2020-12-03)

Bugfix: Stop MultiIndex flattening columns from being rendered

1.2.12 (2022-01-18)

Feature: Add CommonTableFormatter builder to configuring table formatting
Bugfix: Fix striped background for table formatting
Deprecate Python 2.7, make Python 3.6 minimum required version

1.2.13 (2022-01-25)

Bugfix: Fix output of Plotly blocks no longer showing in newer versions of Jupyter
Bugfix: Add static output to Bokeh and Plotly to enable sending within email body

pybloqs dependencies

beautifulsoup4 docutils html5lib jinja2 lxml markdown matplotlib pandas pyyaml

FAQs

What is pybloqs?

Data Visualization and Report Building. Visit Snyk Advisor to see a full health score report for pybloqs, including popularity, security, maintenance & community analysis.

Is pybloqs popular?

The python package pybloqs receives a total of 590 weekly downloads. As such, pybloqs popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is pybloqs well maintained?

We found that pybloqs demonstrated a healthy version release cadence and project activity. It has a community of 20 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is pybloqs safe to use?

While scanning the latest version of pybloqs, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 21 October-2024, at 13:50 (UTC).

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Package Health Score

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Direct Usage Popularity

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Commit Frequency

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Readme

Quickstart

Install PyBloqs

Using PyBloqs

Configuration

Requirements

Acknowledgements

License

1.0.0 (2017-04-07)

1.0.1 (2017-04-13)

1.0.2 (2017-04-26)

1.0.3 (2017-04-26)

1.1.0 (2017-05-10)

1.1.1 (2017-05-10)

1.1.2 (2017-06-2)

1.1.3 (2017-06-6)

1.1.4 (2017-06-22)

1.1.5 (2017-08-22)

1.1.6 (2017-08-23)

1.1.7 (2018-02-23)

1.1.8 (2018-03-26)

1.1.9 (2018-09-19)

1.2.0 (2018-11-21)

1.2.1 (2018-11-23)

1.2.2 (2018-11-27)

1.2.3 (2018-12-03)

1.2.4 (2019-03-27)

1.2.5 (2019-06-25)

1.2.6 (2019-07-17)

1.2.7 (2019-08-06)

1.2.8 (2020-08-25)

1.2.9 (2020-12-02)

1.2.10 (2020-12-03)

1.2.11 (2020-12-03)

1.2.12 (2022-01-18)

1.2.13 (2022-01-25)

pybloqs dependencies

FAQs

What is pybloqs?

Is pybloqs popular?

Is pybloqs well maintained?

Is pybloqs safe to use?

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Scan your app for vulnerabilities

Source Code

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