Jinja2 VS starlette

Compare Jinja2 vs starlette and see what are their differences.

starlette

The little ASGI framework that shines. 🌟 (by encode)
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Jinja2 starlette
3 17
8,131 6,286
0.8% 1.7%
8.8 8.1
5 days ago 5 days ago
Python Python
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Jinja2

Posts with mentions or reviews of Jinja2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-27.
  • 3 Patterns for Cookiecutter Templates
    4 projects | dev.to | 27 Jul 2021
    Cookiecutter is a command-line utility that creates projects from templates. There's a list of templates maintained by the cookiecutter team and plenty of community awesome lists. It's built with python and uses the jinja templating framework (found in python web frameworks like flask). You can use it to make a template for pretty much anything! All you need to get started is pip install cookiecutter.
  • Flask 2.0 is coming, please help us test
    13 projects | reddit.com/r/Python | 16 Apr 2021
    This major release of Flask is accompanied by major releases of Werkzeug, Jinja2, click, and itsdangerous which we'd also welcome and appreciate testing (their pre releases are installed with the Flask pre release).
  • How I create GitHub project reporting from scratch
    10 projects | dev.to | 5 Mar 2021
    So I went back to boring technology. I took Jinja2 and rendered html from the template. The code has almost halved, and rationality has doubled.

starlette

Posts with mentions or reviews of starlette. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-11-12.
  • When performance becomes a thing, is switching from python to GO the ultimate solution for backend API dev ?
    3 projects | reddit.com/r/Python | 12 Nov 2021
    Some folks have mentioned fastapi, which is a good call. If you want to be more extreme about performance, under the covers, fastapi is a combination of starlette and pydantic plus various other goodies. You can build a pure starlette-based API if complete speed is of the essence and you want to stick with python.
  • I created VidGear that makes Video-Processing with Python as easy as can be
    4 projects | reddit.com/r/PythonProjects2 | 27 Oct 2021
    VidGear provides an easy-to-use, highly extensible, Multi-Threaded + Asyncio Framework on top of many state-of-the-art specialized libraries like OpenCV, FFmpeg, ZeroMQ, picamera, starlette, streamlink, pafy, pyscreenshot, aiortc and python-mss at its backend, and enable us to flexibly exploit their internal parameters and methods, while silently delivering robust error-handling and real-time performance.
  • Building a realtime ticket booking solution with Kafka, FastAPI, and Ably
    7 projects | dev.to | 12 Oct 2021
    FastAPI is built on top of two key libraries: Starlette and Pydantic. Starlette was developed by one of the creators of the Django REST framework in an attempt to simplify and speed up the process of building REST APIs in Python. Starlette is fast and asynchronous by design, giving FastAPI runtime speed, and a simple, extensible foundation.
  • Building a Converter Tool on Web
    8 projects | reddit.com/r/gis | 5 Sep 2021
    Or separate the front and back ends, with the back end providing an API that your front end consumes. I write and maintain data-heavy services and tend to write the front end in Angular and the back end in Starlette/FastAPI.
  • FastAPI + Ormar + Alembic setup
    7 projects | dev.to | 14 Aug 2021
    We used the FastAPI's(Starlette's) startup and shutdown events to create/close database connection. Actually, we are creating a connection pool. Whenever a database connection is created, it is added to the pool so that the connection can later use it for another request. Essentially removing the time taken to create a new connection.
  • Quick and dirty mock service with Starlette
    7 projects | dev.to | 7 Jun 2021
    Could I solve the problem with async programming? Async programming is much easier in recent versions of Python. The language now has built-in keywords like async and await that makes programming in that style friendlier. I've assessed a few async web frameworks, and I recalled a feature that I saw in the Starlette documentation: Background Tasks
  • Program gets stuck with tornado
    1 project | reddit.com/r/learnpython | 27 May 2021
    Look into Starlette - it's easier to use, faster and lighter than Tornado.
  • Flask 2.0.0 has been released
    4 projects | news.ycombinator.com | 12 May 2021
    Note that Flask is more analogous to Starlette, which FastAPI extends.

    https://www.starlette.io/

  • New major versions of Flask, Jinja, Click, and Werkzeug released!
    9 projects | reddit.com/r/Python | 11 May 2021
    Worth noting that I noticed a lot of online examples showing FastAPI serving Machine Learning models - (inherently cpu intensive, blocking), don't run any actual user code that's async inside the routes, so technically don't benefit from it compared to Flask. They are also often handled in sync routes def foo(): and not async routes async def foo(): which means they aren't even handled async from the get-go. In fact, internally, Starlette (and therefore by extension FastAPI) runs background tasks and non-async routes in ThreadPoolExecutor, see code here and here. It's important for those coming from DS/ML to recognize that for these use cases there's great benefit serving concurrent responses, maybe for result lookups of and db queries, but not so much with cpu-bound tasks. Being ASGI won't automatically make your app faster. And with computationally heavy tasks, just being concurrent won't make your app faster. For parallelism, (in python) multiple workers is a better strategy. Also, there's queues. More on serving computationally bound requests here
  • Vidgear: A High-Performance Video-Processing Framework for building complex real-time media applications in python
    8 projects | reddit.com/r/Python | 25 Apr 2021
    VidGear provides an easy-to-use, highly extensible, Multi-Threaded + Asyncio Framework on top of many state-of-the-art specialized libraries like OpenCV, FFmpeg, ZeroMQ, picamera, starlette, streamlink, pafy, pyscreenshot, aiortc and python-mss at its backend, and enable us to flexibly exploit their internal parameters and methods, while silently delivering robust error-handling and real-time performance.

What are some alternatives?

When comparing Jinja2 and starlette you can also consider the following projects:

Mako - Mirror of Mako Templates for Python - gitthub main is now at https://github.com/sqlalchemy/mako

Chameleon - Fast HTML/XML template engine for Python

Template Render Engine - Template Render Engine

dash - Analytical Web Apps for Python, R, Julia, and Jupyter. No JavaScript Required.

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

cookiecutter - A command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, VueJS projects.

SQLAlchemy - The Database Toolkit for Python

Python-Markdown - A Python implementation of John Gruber’s Markdown with Extension support.

Flask - The Python micro framework for building web applications.

uvicorn - The lightning-fast ASGI server. 🦄

marked - A markdown parser and compiler. Built for speed.

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