Red-mail - Advanced email sending library for Python

Overview

Red Mail

Next generation email sender


Pypi version build codecov Documentation Status PyPI pyversions

What is it?

Red Mail is an advanced email sender library. It makes sending emails trivial and has a lot of advanced features such as:

  • Attachments
  • Templating (via Jinja)
  • Prettified tables
  • Embedded images

See more from the documentations or see release from PyPI.

Why Red Mail?

Sending emails should not be this complicated:

import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText

msg = MIMEMultipart('alternative')
msg['Subject'] = 'An example email'
msg['From'] = '[email protected]'
msg['To'] = '[email protected]'

part1 = MIMEText("Hello!", 'plain')
part2 = MIMEText("<h1>Hello!</h1>", 'html')

msg.attach(part1)
msg.attach(part2)

# Send the message via our own SMTP server.
s = smtplib.SMTP('localhost', port=0)
s.send_message(msg)
s.quit()

With Red Mail, it's simple as this:

from redmail import EmailSender

email = EmailSender(host="localhost", port=0)

email.send(
    subject="An example email",
    receivers=['[email protected]'],
    text="Hello!",
    html="<h1>Hello!</h1>"
)

You can also do more advanced things easily with it:

from redmail import EmailSender

email = EmailSender(host="localhost", port=0)

email.send(
    subject="An example email",
    sender="[email protected]",
    receivers=['[email protected]'],
    html="""<h1>Hello {{ friend }}!</h1>
        <p>Have you seen this thing</p>
        {{ awesome_image }}
        <p>Or this:</p>
        {{ pretty_table }}
        <p>Or this plot:</p>
        {{ a_plot }}
        <p>Kind regards, {{ sender.full_name }}</p>
    """,

    # Content that is embed to the body
    body_params={'friend': 'Jack'},
    body_images={
        'awesome_image': 'path/to/image.png',
        'a_plot': plt.Figure(...)
    },
    body_tables={'pretty_table': pd.DataFrame(...)},

    # Attachments of the email
    attachments={
        'some_data.csv': pd.DataFrame(...),
        'file_content.html': '<h1>This is an attachment</h1>',
        'a_file.txt': pathlib.Path('path/to/file.txt')
    }
)

Author

Owner
Mikael Koli
Data programmer with background in finance and analytics.
Mikael Koli
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