
TractionGuest
The Receptionist
Proxyclick
Envoy
Teem
SwipedOn
VisitorTrack
Qminder works the way it sounds: It helps a company mind its queues.

Which is more popular?
Based on our record, FastAPI seems to be more popular. It has been mentioned 316 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | qminder.com | fastapi.tiangolo.com |
| Pricing | ||
| Company | — | Startup from Colombia |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
What is Qminder?
More videos
FastAPI from the ground up
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Qminder and FastAPI. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


We have no reviews of Qminder yet. Be the first one to post
When our backend team needs to build services for data parsing, aggregators, or high-load APIs, FastAPI is our absolute go-to choice. It completely lives up to its name-development speed is outstanding. The...
FastAPI, as the name hints, is a swift mover. Built on Starlette, it’s all about speed and performance with Python. Crafting API masterpieces at the speed of light, now that’s something.
Since its release in 2018, it has rapidly gained popularity due to its great performance and simplicity. In fact, according to PyPi Stats, FastAPI has over 9 million monthly downloads, surpassing even full-stack...
Recommendations tracked on public social media and blogs since March 2021.


Tracking Qminder since Mar 2021.
Under the hood it's Flutter on the client and FastAPI with PostgreSQL on the server. WebSockets for realtime, WebRTC for calls, object storage for media, and small services for speech and translation. Android, iOS, Windows and Linux. The... - Source: dev.to / 1 day ago
Using FastAPI, FastStream, and dishka lets us follow Clean Architecture principles and almost avoid leaky abstractions. The prototype also used Pydantic and SQLAlchemy. I do not focus on them because these technologies are already... - Source: dev.to / 10 days ago
If your FastAPI app talks to a database through SQLAlchemy, chances are high you will meet it sooner or later. Not on your machine, of course. It shows up in production, after a few quiet hours, under load. And the reflex is always the... - Source: dev.to / 16 days ago
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