Python reporting libraries | Python reporting tools to generate interactive and beautiful reports

Python is a very rich language in the terms of reporting libraries. In python, you can use many libraries to build interactive and beautiful reports. In all these libraries there is one library in common which is pandas. Below are the few important python reporting libraries

    1. Jinja2
    2. Datapane
    3. Reportlab
    4. Pandas + Excel / Html
    5. FPDF
    6. WeasyPrint

Python Reporting Libraries/tools

To use the above libraries you must be aware of the requirement for example if you have to generate the report in PDF format then go with Reportlab, FPDF, or WeasyPrint. If you have to generate an HTML report or it is a template based then go with Jinja2, Datapane, or pandas + HTML. Before using them there will be a few questions in your mind like

  • Do I need any license to use these libraries or it is open-source and safe to use?
  • If this is open-source then where is the source code?
  • What is the command to install these libraries?
  • Which is the latest version (Up-to July 2022) of this library?
  • What is the official website of these libraries?

1. Jinja2

About Jinja is a templating language. Jinja templates are just HTML files that usually reside inside the /templates directory of a Flask project.
install pip install Jinja2
import from jinja2 import Template
Url https://palletsprojects.com/p/jinja/
PyPI Releases https://pypi.org/project/Jinja2/
Is Open Source YES
Source Code https://github.com/pallets/jinja/
Latest Version Version 3.1.2 (Up-to July 2022)
Example 1 Jinja Hello world example
Example 2 Generating beautiful tabular reports using jinja2

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2. Datapane

About Datapane is a Python library. It was first released on Nov 12, 2019. Using Datapane you can build interactive reports for your end-users in less time.
install pip install datapane
import import datapane as dp
Url https://docs.datapane.com/
PyPI Releases https://pypi.org/project/datapane/
Is Open Source YES, not open-contribution
Source Code https://github.com/datapane/datapane
Latest Version Version 0.14.0 (Up-to July 2022)
Example 1 Datapane tabular report example.
Example 2 Datapane to generate an interactive and beautiful line chart.

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3. Reportlab

About The ReportLab is a python library that is used to generate PDFs and graphics. Using ReportLab you can generate documents in PDF format from dynamic data you can also generate charts and data graphics in PDF and bitmap formats.
install pip install reportlab
import from reportlab.pdfgen import canvas
Url https://www.reportlab.com/
PyPI Releases https://pypi.org/project/reportlab/
Is Open Source YES, partiall
Source Code https://www.reportlab.com/opensource/
Latest Version Version 3.6.11 (Up-to July 2022)

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4. Pandas + Excel / Html

About Pandas is an open-source library. This stores data in a tabular format like the table in the RDS database. Panda is used to analyze and manipulates the data. Using the library like ExcelWriter and Jinja2 we can create very attractive reports.
install pip install pandas, pip install XlsxWriter, pip install Jinja2
import import pandas as pd, import jinja2
Url https://pandas.pydata.org/
PyPI Releases https://pypi.org/project/pandas/
Is Open Source YES
Source Code https://github.com/pandas-dev/pandas
Latest Version Version 1.4.3 (Up-to July 2022)

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5. FPDF

About PyFPDF is a python open source library for PDF document generation. Compared to the other python library like Reportlab this is small in size. It was first released on Jan 21, 2015.
install pip install fpdf
import from fpdf import FPDF
Url http://www.fpdf.org/
PyPI Releases https://pypi.org/project/fpdf/
Is Open Source YES
Source Code https://github.com/reingart/pyfpdf
Latest Version Version 1.7.2 (Up-to July 2022)

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6. WeasyPrint

About WeasyPrint is a python open-source library for PDF document generation. Using this we render HTML & CSS and then export the data in PDF format. It was first released on Jul 8, 2022.
install pip install weasyprint
import from weasyprint import HTML
Url https://www.courtbouillon.org/weasyprint
PyPI Releases https://pypi.org/project/weasyprint/
Is Open Source YES
Source Code https://github.com/Kozea/WeasyPrint
Latest Version Version 56.0 (Up-to July 2022)

If interested in the python programming with practical approach

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