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Malicious npm Packages Inject SSH Backdoors via Typosquatted Libraries
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The artless and small template library for server-side rendering.
Artless-template allows to generate HTML, using template files or/and natively Python objects. The library encourages approaches like HTMX and No-JS.
Main principles:
Table of Contents:
$ pip install artless-template
Basically, you can create any tag with any name, attributes, text and child tags:
from artless_template import Tag as t
div = t("div")
print(div)
<div></div>
div = t("div", {"class": "some-class"}, "Some text")
print(div)
<div class="some-class">Some text</div>
div = t("div", {"class": "some-class"}, "Div text", [t("span", "Span 1 text"), t("span", "Span 2 text")])
print(div)
<div class="some-class"><span>Span 1 text</span><span>Span 2 text</span>Div text</div>
button = t("button", {"onclick": "function() {alert('hello');}"}, "Say Hello")
print(button)
<button onclick="function() {alert('hello');}">Say Hello</button>
Create templates/index.html
with contents:
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<title>@title</title>
</head>
<body>
<main>
<section>
<h1>@header</h1>
<table>
<thead>
<tr>
<th>Name</th>
<th>Email</th>
<th>Admin</th>
</tr>
</thead>
@users
</table>
</section>
</main>
</body>
</html>
from typing import final
from pathlib import Path
from random import randint
from dataclasses import dataclass
from artless_template import read_template, Tag as t
TEMPLATES_DIR: Path = Path(__file__).resolve().parent / "templates"
@final
@dataclass(frozen=True, slots=True, kw_only=True)
class UserModel:
name: str
email: str
is_admin: bool
users = [
UserModel(
name=f"User_{_}", email=f"user_{_}@gmail.com", is_admin=bool(randint(0, 1))
)
for _ in range(10_000)
]
users_markup = t(
"tbody",
children=[
t(
"tr",
children=[
t("td", user.name),
t("td", user.email),
t("td", "+" if user.is_admin else "-"),
],
)
for user in users
],
)
context = {
"title": "Artless-template example",
"header": "Users list",
"users": users_markup,
}
template = read_template(TEMPLATES_DIR / "index.html").render(**context)
<!DOCTYPE html>
<html lang="en">
...
<body>
<main>
@main
</main>
</body>
</html>
from artless_template import read_template, Component, Tag as t
...
class UsersTableComponent:
def __init__(self, count: int):
self.users = [
UserModel(
name=f"User_{_}", email=f"user_{_}@gmail.com", is_admin=bool(randint(0, 1))
)
for _ in range(count)
]
def view(self):
return t(
"table",
children=[
t(
"thead",
[
t(
"tr",
[
t("th", "Name"),
t("th", "Email"),
t("th", "Admin"),
]
)
]
),
t(
"tbody",
[
t(
"tr",
children=[
t("td", user.name),
t("td", user.email),
t("td", "+" if user.is_admin else "-"),
],
)
for user in self.users
]
)
]
)
template = read_template(TEMPLATES_DIR / "index.html").render(main=UsersTableComponent(100500))
The library provides async version of io-bound function - read_template
. An asynchronous function has a
prefix and called aread_template
.
from artless_template import aread_template
template = await aread_template("some_template.html")
...
Read detailed reference documentation.
Performance comparison of the most popular template engines and artless-template library. The benchmark render a HTML document with table of 10 thousand user models.
Run benchmark:
$ python -m bemchmarks
Sorted results on i5 laptop (smaller is better):
{
'mako': 0.0541565099847503,
'jinja': 0.26099945200257935,
'artless': 0.99770416400861,
'dtl': 1.07213215198135,
'fasthtml': 11.734292993991403
}
The performance of artless-template
is better than the Django template engine
, and much better than FastHTML, but worse than Jinja2
and Mako
.
read_template()
- aread_template()
.FAQs
Artless and small template library for server-side rendering.
We found that artless-template demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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