There is not much performance difference between Django and FastAPI. Because they are both Python frameworks. That's why they are both very slow. If you think FastAPI can compete with Go stdlib, you can take a look at TechEmpower benchmarks.
@@oktay9784 I'm not a pytonista but I have a lot of doubts about a full framework like Django being as lightweight as something like FastAPI. And from FastAPI themselves on their homepage says: ‘The main features are: Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic).’ This doesn't mean that FastAPI will achieve the same results as Go despite what it says. But since you're comparing a very fast language (Go), you have to choose the fatest library/framework for something as slow as Python.
Great test but nothing surprising. Go is known to walk that line between ease of use and performance. Python more towards ease of use, with less performance. and Rust more towards performance but is harder to use.
On a course about algorithms lecturer was writing code mainly on Java, but also shows examples on Python and JavaScript. Java has showed much bigger performance than Python in every test, so I concluded that Python is relatively slow language. Recently I've read that Go is very lightweight and fast and that's why it is widely used in microservices. It made the wrong perception that Python should be slower than Go.
There is nothing "easy" about Python. If you hate yourself that much, by all means, use a language where whitespace is syntax. But if you value your sanity, choose something less schizophrenic, with proper block definition syntax and a static type checker.
Very cool! I recently converted a python pipeline to rust and was shocked by the performance improvements 40s -> sub 1second. If you want I might be able to help convert this to something like fastapi since it’s very popular. Might be beneficial for everyone to see
@@PanicAtProduction Bun will lose if I remember correctly , by watching a video of some guy who converted his code from bun next to golang for static pages I guess I am also interested in this though since bun actually has bs benchmarks on its website (its comparing 17x faster for react , for a simple hello world which is pretty stupid imo) I would like to see some practical examples like how Anton does Please anton , lets see bun vs golang.
Every Django task is blocking, so there is big latency when working with multiple users. There is obvious optimizations for Django app - use async views, async calls to dbs, async middleware + some asgi server (like uvicorn). For further improvement you can use C-written "NGINX Unit" as WSGI/ASGI server instead of Python-written Gunicorn/Uvicorn. And looks like there is unnecessary middlewares, too. I hope someone else can make pull request because I used Django only a couple of times (not a big expert, esp. talking about performance) Would like to see FastAPI vs Django vs Go stdlib vs some js backend (maybe both Node and Bun) in the next video.
@@AntonPutra Configuring gunicorn to use gevent workers should be quicker to set up. But I'd still be very interested in comparing it with actual async python functions.
I find yr videos really insightful. U are probably the only person and channel that really demonstrates that the choice of programming language is a very important factor in software/web development. Many people are guilty of burying this in the hopes that their favorite stack will not be exposed for the CPU vampires that they are. At this point it seems that Go is the fastest GCPL for pretty much anything memory safe while Rust is the fastest non-GCPL for the same. 😅
Very good video as always. But I think that results are expected, will be interesting compare between Python frameworks popular for backend: Django Rest Framework, FastAPI and Flask.
Django is a framework, and you've compared with stdlib non framework compiled go? what a on fair comparison. It was apple and orange. When go is async from the start, that huge django is threaded sync framework dude. Whats the point comparing compiled language to interpreted language when simple hello world is enough to justify compiled lang supremacy. The closest thing you can do is comparing go with python fastapi/falcon + pypy which is far superior to django in term of performance. Django is big because you have everything included to develop fast business application.
I know, I have a lot of experience running Django in production at my company. I know it's slow, but I've received several requests to demonstrate just how slow it is.
@@AntonPutra now you need to demostrate how slow you will write in Go all built-in systems, that django has out-of-box. Templating, translation, timezones, auth, sessions, ORM (with very complicated queries support), CORS middleware, clickjacking middleware, password hashing... list goes on. Plus there are TONS of working solutions, that you can use for your applications in notime (DRF, Djoser, Django-model-translation etc.). It is slow. But not "just slow for nothing" - that bunch of tools comes at price.
This is so interesting! As someone who likes to self-host stuff i have an instance of Authentik(an Auth provider for your self-hosted services made largely with Python and Typescript ) where for all its services like the agent and the service itself it consumes around 1 to 1.2gb of ram! Which is quite insane . As soon as i saw the graphs in this video it reminded me of Authentik! Thanks for yet another amazing video btw! Keep up the great work!
On your question about why is Python transmitting so much more data across the network. I suspect that is due to Gunicon not supporting HTTP KeepAlive on sync requests and therefore you're seeing the TCP setup & close traffic for each any every request to the Python server. Go's ServeMux does seem to support HTTP Keepalive; hence its comparitively lower traffic levels. I guess an async Django instance, supporting HTTP KeepAlive, would be interesting - if possible!
A few questions which might help with Python performance that I didn't see addressed * what version of python are you using? * can you test with async views in Django? I'd never expect python to be nearly as performant but im curious if the latest GIL updates in 3.11, 3.12 and 3.13 along with Django's Async views help with the dismal performance? Thanks from a fellow Anton :)
You can write django app in days instead of months for the go version. Just start the MVP with django, it scales horizontally well and add some go stuffs if your app becomes really successful. Otherwise it will sit on your $5 vm processing 10 request per day which comes from yourelf. Good bye
Hey, I’ve been watching your videos for a while now. I really appreciate this kind of content. Especially for a person obsessed with perfomance like me. I would really like to see a comparison between databases perfomance. Especially postgresql vs mysql. Thank you btw.
Amazing and professional video as always, I actually requested this one in the previous (Rust vs Zig) so a million thanks! Personally, I used Bun.js + Elysia a week ago and had a great DX. So having a Benchmark that answers which JS web framework is the fastest would be awesome. For Node.js I would choose the Hyper express or Hono, Elysia for Bun and I have no clue about deno.
Love the way you explain it dude, it really tell us many information from it. I really curious on Laravel PHP vs NodeJS Would you mind try it also? since those three were very popular in my city currently
If I understand correctly, Go does automatic parallel scheduling of the code that manages the requests. In Django you should use async view functions and run using the asgi interface provided by Channels. It'll still be way slower, but better than what you got. Also, you should run it using an application server like uwsgi (I can't see how you ran it, I'm on a phone and it's too small/fast 😅)
... and youtube won't allow me to comment about how to use uvicorn to run the project using async... It's in the official docs 🙂 I'm curios to see how much things change with async views.
Could you do some kind of benchmark on number of active connections and how well actix-web handles it as compared to something in erlang? I would love to see why WhatsApp decided to go with erlang (even though Rust probably wasn't too mature/did not exist?) over the more mainstream tools, maybe even C++. C++ also has a relatively less known web framework in the form of drogon.
Yes, I keep optimizing the DB setup. I’ve now set the pool to 20 connections and some timeouts, but scaling the connection pool is usually handled by the library itself. I have metrics from the database to visualize them in Grafana.
The comparison is not valid. Django has a significant number of default middleware, which means that the request must go through several processes before reaching the view function.
One thing to keep in mind is that it is not appropriate to compare programming languages or frameworks directly, as each has its own advantages and disadvantages.
The success of a project does not solely depend on the tools used, but rather on the intellectual capabilities and expertise of the individuals involved.
At my company, we've been running Django in production for at least 4 years. Yes, it's a totally production-ready framework, but it's just slow. I have a lot of experience running Django in production under heavy load :)
@@DavidSmith-ef4eh you'd be suprised how many people believe Python is faster than others. A solution architect even told me python is faster than what he uses everyday( C# )
I assume bun has a small edge over node and node has a small edge over deno. deno being the slowest of them all, but not by mutch. maybe 5% slower than bun.
Hi, first time here, I would love to learn how to make such benchmarks. Would also like to see something more modern for Python like FastAPI or Starlette (ASGI) VS Fastify TypeScript
Python has always been great for prototyping and scripting. But as always, once you get to the point where you need serious performance it's best to rewrite in some other language.
There is no comparison. It looks like Python tanked both tests. In Test-1, Go was handling ~60k req/s while Python was handling ~2k req/s. For a fair comparison, both should be serving similar number of requests per second. In Test-2, Python app just crashed under load.
Debunk? Elixir is not faster than Go. It may be quicker than Python, but it depends The question is how to compare Elixir with their own fault-tolerance system. Do we need to use Docker with Elixir or not? Elixir has self-healing at the code level, and Docker can add it at the cluster
Hey! Love your videos! Can you do an updated comparission between Istio and Linkerd2? But now using Istio's ambient mode (as oposed to their traditional sidecar mode) They claim that is much less resourse intensive, easier to manage and production ready
Like for the video; but what do these huge logos of Python and Go mean? It would be better to have a legend, that shows which color belongs to which language.
@@AntonPutra I saw that later in the video, thank you. But still wanders - what do the huge logos of Python on the left side and Go on the right side on the charts mean?..
"Simple" improvement for the django app I saw is to switch to async everything. This does increase the complexity of the project (and debugging) but should increase throughput a meaningful amount. For the go db connection, I did see that the maxConnections was increased to 20 so I suppose that's a fair place to start. I would say increase both the python and go to the max allowed of 100 connections for a saturation test.
@@AntonPutra In terms of performance, environment (managing python dependencies really sucks without containerization), weekly typed vs strongly typed ( python doesn't' have strongly typed variables). You can probably sense I'm very anti python is the answer to everything... It has it's place, scripting and AI experimentation.
Great content! This is one of the reason Im refactoring from python(django) to rust(actix) in one of my apps at work. And uwsgi is a nightmare to configure. Though Django is still my goto web framework for doing MVP apps.
I'd be curious how much of the Django ecosystem has equivalent plugins on other platforms. Part of the draw of Django is how full featured the ecosystem is.
@@AntonPutra it's sill not a big improvement, and Django is still deeply synchronous. Some folks rewrote ORM's object property resolution in Rust, which made a ton of improvement for big objects
Yes, since I use the standard library, it doesn't have any rate-limiting capabilities, so it accepts each request. Eventually, all those requests fill up the memory, and it crashes. That's why you might choose a framework or at least implement it yourself.
A lot of people have to much time on their hands, it's obvious that the person making this video is just a hobbyist. No IT professional has the time for this BS you just use the right tool for the job.
Does the GO framework, offer as much as Django offer? Also, GO is compiled and it's a language, Django is a framework of interperter language. If python will have compiler the differences will be small. Not a good comparison, sorry.
I know, I just received multiple requests to compare Django, and I personally have a lot of experience running Django in production at my company. It is slow but hard to migrate from.
@@AntonPutra Honestly, I will compare apple to apple. Let's say Express(or similar) to FastAPI (with and without some JIT for python) Anyway, thanks for your effort 😊
👋What should I test next???
👉 [Playlist] New Benchmarks: th-cam.com/play/PLiMWaCMwGJXmcDLvMQeORJ-j_jayKaLVn.html&si=p-UOaVM_6_SFx52H
Hey
django is old, try fastapi or sanic
Nest.js vs Rocket(rust)??
Please try Ntex(Rust) vs Axum vs Tokio vs Actix vs Drogon(c++)
I'm curious about frameworks that I believe are a little less popular, e.g. phalcon (php) or drogon (c++)
Bun vs Deno vs Nodejs please please please.
Comparison between FastAPI and Go stdlib seems much more appropriate, FastAPI focuses on speed and has a lot less "bloat" than Django
There is not much performance difference between Django and FastAPI. Because they are both Python frameworks. That's why they are both very slow.
If you think FastAPI can compete with Go stdlib, you can take a look at TechEmpower benchmarks.
@@oktay9784 even if it does go still has fiber
@@oktay9784 Fasta Api relay on Pydantic (Rust) and many C librarys so i am not so sure.
@@oktay9784 I'm not a pytonista but I have a lot of doubts about a full framework like Django being as lightweight as something like FastAPI.
And from FastAPI themselves on their homepage says: ‘The main features are: Fast: Very high performance, on par with NodeJS and Go (thanks to Starlette and Pydantic).’
This doesn't mean that FastAPI will achieve the same results as Go despite what it says.
But since you're comparing a very fast language (Go), you have to choose the fatest library/framework for something as slow as Python.
I was going to say that too :)
FastAPI vs stdlib would be more interesting for sure
I really want to see Django vs Flask vs FastAPI video
Racing snails against each other is at least fair... ;)
Also vs Litestar
@@dupdrop 😁
Flask is synchronous, it can only process 1 request per turn, until accepts the next one. FastAPI humiliate Flask in a racing of snails :D
noted! I'll do it in the near future
@@thelearningmachine_ Not true, wrap/place gunicorn in front of Flask and it will dominate.
Great test but nothing surprising. Go is known to walk that line between ease of use and performance. Python more towards ease of use, with less performance. and Rust more towards performance but is harder to use.
On a course about algorithms lecturer was writing code mainly on Java, but also shows examples on Python and JavaScript. Java has showed much bigger performance than Python in every test, so I concluded that Python is relatively slow language.
Recently I've read that Go is very lightweight and fast and that's why it is widely used in microservices.
It made the wrong perception that Python should be slower than Go.
the question wasn’t whether Python is slower, but by how much it is slower 😊
For sure, but the best part about Go is that it is only marginally more complex than Python, yet much better performance
There is nothing "easy" about Python. If you hate yourself that much, by all means, use a language where whitespace is syntax. But if you value your sanity, choose something less schizophrenic, with proper block definition syntax and a static type checker.
@@haploid2k pathetic skill issue, use an IDE and type hints with mypy + ruff
Awesome video - quick nit: in the CPU Throttling, you have zig instead of go. This was really insightful!
thanks, it just a label from the previous benchmark it is actually golang
@@AntonPutra yeah no worries, just figured I would give you a heads up if this is attached to a repo
Very cool! I recently converted a python pipeline to rust and was shocked by the performance improvements 40s -> sub 1second. If you want I might be able to help convert this to something like fastapi since it’s very popular. Might be beneficial for everyone to see
Create the fastest python framework?
thanks!
Great work! Bun vs Go, please 🙏
Yes. This please
@@PanicAtProduction Bun will lose if I remember correctly , by watching a video of some guy who converted his code from bun next to golang for static pages I guess
I am also interested in this though since bun actually has bs benchmarks on its website (its comparing 17x faster for react , for a simple hello world which is pretty stupid imo)
I would like to see some practical examples like how Anton does
Please anton , lets see bun vs golang.
@@Serizon_ Nothing could match go other than C/C++/Rust/Zed/Object-C even C#.Net and Java will lose
Up. bun (bun.serve) bun (elysia)
ok!
Every Django task is blocking, so there is big latency when working with multiple users. There is obvious optimizations for Django app - use async views, async calls to dbs, async middleware + some asgi server (like uvicorn). For further improvement you can use C-written "NGINX Unit" as WSGI/ASGI server instead of Python-written Gunicorn/Uvicorn.
And looks like there is unnecessary middlewares, too.
I hope someone else can make pull request because I used Django only a couple of times (not a big expert, esp. talking about performance)
Would like to see FastAPI vs Django vs Go stdlib vs some js backend (maybe both Node and Bun) in the next video.
thanks! i'll try async views in the future
@@AntonPutra Configuring gunicorn to use gevent workers should be quicker to set up. But I'd still be very interested in comparing it with actual async python functions.
@@Vismund2 no, i'll try async
@@AntonPutra i cant wait to see that one :)
Thank you. Great job. These benchmarks are so good and a great idea for the people who work in production.
thanks!!
Nice content, please Spring Boot (Native) vs Go 🙏
thanks, will do soon!
I find yr videos really insightful. U are probably the only person and channel that really demonstrates that the choice of programming language is a very important factor in software/web development. Many people are guilty of burying this in the hopes that their favorite stack will not be exposed for the CPU vampires that they are.
At this point it seems that Go is the fastest GCPL for pretty much anything memory safe while Rust is the fastest non-GCPL for the same. 😅
Well, I'm a DevOps engineer, not a programmer, so I don't have any bias😊
☝ Please, C# with .NET 8 vs (Python with FastAPI and PHP with Laravel), all of these using PostgreSQL. Thanks in advance! 🙌
ok, i'll come back to c# and .net soon
Thank you, I was really looking forward to this.
my pleasure
Very good video as always.
But I think that results are expected, will be interesting compare between Python frameworks popular for backend: Django Rest Framework, FastAPI and Flask.
Thanks, yes, but I didn't think that it could only process 2.5k requests.
Django is a framework, and you've compared with stdlib non framework compiled go? what a on fair comparison. It was apple and orange.
When go is async from the start, that huge django is threaded sync framework dude.
Whats the point comparing compiled language to interpreted language when simple hello world is enough to justify compiled lang supremacy.
The closest thing you can do is comparing go with python fastapi/falcon + pypy which is far superior to django in term of performance.
Django is big because you have everything included to develop fast business application.
I know, I have a lot of experience running Django in production at my company. I know it's slow, but I've received several requests to demonstrate just how slow it is.
@@AntonPutra now you need to demostrate how slow you will write in Go all built-in systems, that django has out-of-box. Templating, translation, timezones, auth, sessions, ORM (with very complicated queries support), CORS middleware, clickjacking middleware, password hashing... list goes on. Plus there are TONS of working solutions, that you can use for your applications in notime (DRF, Djoser, Django-model-translation etc.). It is slow. But not "just slow for nothing" - that bunch of tools comes at price.
php/Laravel vs Bun vs Python pls
Yeah +1 for laravel
yep im curious on these laravel/php also
ok, soon!
This is so interesting! As someone who likes to self-host stuff i have an instance of Authentik(an Auth provider for your self-hosted services made largely with Python and Typescript ) where for all its services like the agent and the service itself it consumes around 1 to 1.2gb of ram! Which is quite insane . As soon as i saw the graphs in this video it reminded me of Authentik!
Thanks for yet another amazing video btw! Keep up the great work!
haha, thanks!
On your question about why is Python transmitting so much more data across the network. I suspect that is due to Gunicon not supporting HTTP KeepAlive on sync requests and therefore you're seeing the TCP setup & close traffic for each any every request to the Python server. Go's ServeMux does seem to support HTTP Keepalive; hence its comparitively lower traffic levels. I guess an async Django instance, supporting HTTP KeepAlive, would be interesting - if possible!
Thanks! I'll look into HTTP KeepAlive and try async implementation as well
A few questions which might help with Python performance that I didn't see addressed
* what version of python are you using?
* can you test with async views in Django?
I'd never expect python to be nearly as performant but im curious if the latest GIL updates in 3.11, 3.12 and 3.13 along with Django's Async views help with the dismal performance?
Thanks from a fellow Anton :)
Thanks! :) I'm using 3.12.6 - github.com/antonputra/tutorials/blob/main/lessons/209/mydjango/Dockerfile#L12C13-L12C19
I'll try async views next time
@AntonPutra Please add `blacksheep` python framework in your next test which is well known for it's performance
sure, i'll take a look
Awesome test format. I want to see c++ userver vs rust benchmark it will be interesting to see cpu and ram usage also latency
thank you! yes i'll do cpp soon
You can write django app in days instead of months for the go version. Just start the MVP with django, it scales horizontally well and add some go stuffs if your app becomes really successful. Otherwise it will sit on your $5 vm processing 10 request per day which comes from yourelf. Good bye
Looks like Go's postgres connection limit is reached with 4 connections causing the timeouts.
I made a PR to allow a higher max connection limit
thank you! merged and i'll be using the same 20 for other languages as well
Would love to see a Nodejs (Express) vs Python (FastAPI)
ok noted!
Pretty useful stuff, as always. I would love to see a comparison between Python FastAPI and frameworks from other languages.
thank you, will do fastapi soon
Hey, I’ve been watching your videos for a while now. I really appreciate this kind of content. Especially for a person obsessed with perfomance like me.
I would really like to see a comparison between databases perfomance. Especially postgresql vs mysql. Thank you btw.
Thank you! I’ve been thinking about those two for a while. I'll get to them soon.
Nice video 👍. Can you do Dart vs Go next (Serverpod vs Gin, or both stdlib)?
will do soon
👋 requesting similar benchmark for java (especially with v22 vs v23 which had new gc) vs go/rust. thanks in advance
Yes! Should be interesting!
noted! i'll come back to java and c# soon
Amazing and professional video as always, I actually requested this one in the previous (Rust vs Zig) so a million thanks!
Personally, I used Bun.js + Elysia a week ago and had a great DX. So having a Benchmark that answers which JS web framework is the fastest would be awesome. For Node.js I would choose the Hyper express or Hono, Elysia for Bun and I have no clue about deno.
Thank you! I’m actually planning to do Node next
Love the way you explain it dude, it really tell us many information from it.
I really curious on Laravel PHP vs NodeJS
Would you mind try it also? since those three were very popular in my city currently
thank you! yes node is the next
I'm scared to see node js next XD, node js vs Go would be a good one.
😊
Wow man love your videos
thank you!
great content, Nice thumb by the way!
thank you!
In cpu throtling graph you forgot to rename as go it's show zig from previous test. Just try to grabe your attention 😊
haha, i know
Hi,
When you will bring bun vs nodejs in typescript. Excited to watch it
node vs go next, then all bun
Very good, thank you. Could you teach me how to configure Prometheus and Grana in the EKS cluster? And how to create this dashboard?
sure i'll come up with some new tutorials how to
If I understand correctly, Go does automatic parallel scheduling of the code that manages the requests.
In Django you should use async view functions and run using the asgi interface provided by Channels.
It'll still be way slower, but better than what you got. Also, you should run it using an application server like uwsgi (I can't see how you ran it, I'm on a phone and it's too small/fast 😅)
... and youtube won't allow me to comment about how to use uvicorn to run the project using async... It's in the official docs 🙂
I'm curios to see how much things change with async views.
I would like to see one with NodeJs fastify vs Golang
node is next
I'd really like to see how FastAPI behaves
ok i'll do FastAPI soon
Whoa..Not even a competition from Go's side
well, I need a rate-limiting library to avoid oomkills
The problem is in Django, and not Python. fastapi or sanic will show way better results @AntonPutra
You made me think on switching to go api backend
no so fast, i want to try async views as well, they say it's much faster
Could you do some kind of benchmark on number of active connections and how well actix-web handles it as compared to something in erlang? I would love to see why WhatsApp decided to go with erlang (even though Rust probably wasn't too mature/did not exist?) over the more mainstream tools, maybe even C++. C++ also has a relatively less known web framework in the form of drogon.
Yes, I keep optimizing the DB setup. I’ve now set the pool to 20 connections and some timeouts, but scaling the connection pool is usually handled by the library itself. I have metrics from the database to visualize them in Grafana.
The comparison is not valid. Django has a significant number of default middleware, which means that the request must go through several processes before reaching the view function.
One thing to keep in mind is that it is not appropriate to compare programming languages or frameworks directly, as each has its own advantages and disadvantages.
The success of a project does not solely depend on the tools used, but rather on the intellectual capabilities and expertise of the individuals involved.
For instance, Instagram was developed using Python Django.
Do you believe it is slow?
Of course not, correct?
At my company, we've been running Django in production for at least 4 years. Yes, it's a totally production-ready framework, but it's just slow. I have a lot of experience running Django in production under heavy load :)
Dhanyavad
my pleasure!
such a nice series
thank you!
try pypy interprieter. i had dramatical improve performance just change and have JIT
thanks! i'll try
doesn't sound like a fair benchmark. it's like a race between Hussain Bolt and Joe Biden.
What's not fair about the comparison? How he conducted it or the languages used?
@@nanonkay5669 python is know to be one of the slowest languages, while go is on top of all benchmarsk... it's too much of a gap to even compare them.
@@DavidSmith-ef4eh people understand that and we all heard it, but some want to see it and also quantified. It doesn't make the benchmarking unfair
@@DavidSmith-ef4eh you'd be suprised how many people believe Python is faster than others. A solution architect even told me python is faster than what he uses everyday( C# )
@@DavidSmith-ef4eh lots of people use Django and Python for server side code.
Please, we want a test between javascript runtimes. Bun vs Nodejs vs Deno. Please please.
yes, next node vs go, right after i'll test these three i promise
I assume bun has a small edge over node and node has a small edge over deno. deno being the slowest of them all, but not by mutch. maybe 5% slower than bun.
@@DavidSmith-ef4eh yeah. thats all we wanted to see.
@@DavidSmith-ef4ehactually node is slower than Deno in many benchmarks. Bun is fastest because it uses c based library with js bindings.
@@AntonPutra This is awesome! Thanks
I’d like to see a benchmark test of c++ Drogon framework vs similar competitors, like actix in rust
will do!
@@AntonPutra you’re very kind. Thank you
Can we see:
-Django DRF vs Django ninja
-Django with celery Vs nodjs or Go
This will be fair comparison
Thank you for the content
It’s such ironic that Python is used in some of the most computationally demanding areas.
thinking about comparing big data apis for spark/flink: python vs java/scala
Sir, C++ vs RUST please.
ok, soon!
Django Vs stdlib!!!!. Pick a lightweight library Vs another lightweight please
sure, someone just asked me to compare django so i did
I would love to see this benchmark between Go and Elixir. They are more similar as both are designed to handle high concurrency.
ok, noted!
Hi, first time here, I would love to learn how to make such benchmarks. Would also like to see something more modern for Python like FastAPI or Starlette (ASGI) VS Fastify TypeScript
Ok, noted! I'll make some tutorials on monitoring in the near future as well
Need some go vs nim benchmarks
noted
Python has always been great for prototyping and scripting. But as always, once you get to the point where you need serious performance it's best to rewrite in some other language.
Some large companies are still using Django in production because it's very hard for them to migrate, lots of features
There is no comparison. It looks like Python tanked both tests. In Test-1, Go was handling ~60k req/s while Python was handling ~2k req/s. For a fair comparison, both should be serving similar number of requests per second. In Test-2, Python app just crashed under load.
yes, i'll try async views next time
At "CPU Throtteling" you mislabled the blue line as "Zig" instead of "Go" ;)
yes, it is from the previous benchmark a ran, it just copy paste :)
Thanks for this benchmark
Would be good to have go vs python but with fastapi and robyn (python flask like but based on rust)
ok, next time i'll use async functions in python, should be faster
Please test elixir/phoenix to debunk the greatest elixir! 🤣
Debunk? Elixir is not faster than Go. It may be quicker than Python, but it depends
The question is how to compare Elixir with their own fault-tolerance system. Do we need to use Docker with Elixir or not? Elixir has self-healing at the code level, and Docker can add it at the cluster
sure, will do it soon
Hey! Love your videos! Can you do an updated comparission between Istio and Linkerd2? But now using Istio's ambient mode (as oposed to their traditional sidecar mode) They claim that is much less resourse intensive, easier to manage and production ready
Yes, but probably Istio (sidecarless) with Cilium.
NestJS and some other Node.js based frameworks would be interesting
ok, i'll do node/express next then other js frameworks
@@AntonPutra nice, just keep in mind, nestjs sits ontop of express.
@@rankala Yes, I saw that it has a couple more thousand stars on GitHub.
Thanks for these. I would love to see Elysia vs Fresh (Deno)
no problem, will test Elysia soon
Like for the video; but what do these huge logos of Python and Go mean? It would be better to have a legend, that shows which color belongs to which language.
I have it in the actual test, you can skip it and have a timestamp in the description.
@@AntonPutra I saw that later in the video, thank you. But still wanders - what do the huge logos of Python on the left side and Go on the right side on the charts mean?..
@@AlexanderBorshak nothing really, i don't have a good explanation :)
Could you test the Emmette framework in Python? It is written in Rust and uses asynchronous Python.
ok, just added to my list
"Simple" improvement for the django app I saw is to switch to async everything. This does increase the complexity of the project (and debugging) but should increase throughput a meaningful amount.
For the go db connection, I did see that the maxConnections was increased to 20 so I suppose that's a fair place to start. I would say increase both the python and go to the max allowed of 100 connections for a saturation test.
thanks, i'll try async views next time and set poll connections to 20 for both
This was a loosing battle, -I bet rust vs python would be a bloodbath😅
maybe fastapi, will see :)
And there we go kids, don’t write web or system apps in python. Go isn’t that much harder, and a 10x better language.
in terms of performance 100%
@@AntonPutra In terms of performance, environment (managing python dependencies really sucks without containerization), weekly typed vs strongly typed ( python doesn't' have strongly typed variables).
You can probably sense I'm very anti python is the answer to everything... It has it's place, scripting and AI experimentation.
i really like your content, but can you try modify the django to use uvicorn instead ? i'd like to see how much the different
Great content!
This is one of the reason Im refactoring from python(django) to rust(actix) in one of my apps at work. And uwsgi is a nightmare to configure. Though Django is still my goto web framework for doing MVP apps.
I'd be curious how much of the Django ecosystem has equivalent plugins on other platforms. Part of the draw of Django is how full featured the ecosystem is.
@@antonmarini3662 Agree with this, actually in my case I build it from scratch or use a similar library then just add those missing features.
It's easy to develop with, but hard to migrate from. We've been running Django for multiple years already, and they just keep adding more features.
even proper json serialization with orjson won't help django, it's just too slow
what about async views? have you tried it?
@@AntonPutra it's sill not a big improvement, and Django is still deeply synchronous. Some folks rewrote ORM's object property resolution in Rust, which made a ton of improvement for big objects
@@ac130kz ok
There's no python framework that would beat go
well, if python gets closer to what Go can do, that would be good enough
P99 is a bad metric here since it will lead you to strange conclusions due to GC
Use p90
agreed, i'm already switching to p90 in the new benchmarks
Nice work as always.
Could you please do Laravel vs Express vs Django?
thanks! i'll do express next
its not even close, people shouldn't be using python for API stuff, just do ur own data science or call C APIs for AI.
i want to test spark python vs java api now :)
That Python memory usage, may not be correct.
Garbage collected memory, should have spikes
I have a few metrics for memory, but this metric in the graph is actually used to OOM kill the pod by k8s.
Python uses reference counting primarily. So memory is freed as soon as it's no longer used versus at some later time, excepting cyclic references.
It makes sense
Database will always be the slowest part in your stack!
I would like to see go vs node.js😁
next
want Node vs Bun vs Deno
very very soon!
Laravel and Go please 🙏
ok noted! will do soon!
please do one with FastAPI with purely async routes (async route function + async function calls inside or run_in_threadpool for sync functions)
ok will do
Next flask vs expressjs
thanks, almost! :)
express vs go, then other js frameworks but I'll flask soon as well
Next Go vs JS Express (or whatever would be the smallest usable JS framework) please
yes, express is next
@@AntonPutra thanks man! You really do the work for my project haha
Next elixir vs golang ?
soon, i promise 😊
so now that u can make websites with just go stdlib i wonder if there are any differences in performance when using something like echo
I haven't tested Echo yet, but those web frameworks have useful middleware, logging, rate limiting, etc.
Why not MySQL vs PgSql vs Sqlite(WAL mode)
yes i was thinking about db comparisons, i may do them in near future as well kafka vs rabbit etc
this is a great series. Can you try go gnat and zig zzz libraries?
ok noted!
The rust war - Actix vs Rocket vs Axum
i have it already
Go vs Elixir, please
soon
I don't understand the caching that happens for go
How it is setup? Is it a default behavior? Like why is it doing it just when cpu is a 100%?
Yes, since I use the standard library, it doesn't have any rate-limiting capabilities, so it accepts each request. Eventually, all those requests fill up the memory, and it crashes. That's why you might choose a framework or at least implement it yourself.
Could you add some measure of cold start performance? Or did I miss it?
A lot of people have to much time on their hands, it's obvious that the person making this video is just a hobbyist. No IT professional has the time for this BS you just use the right tool for the job.
to find the right tool, you need to test it, don’t you? or do you just believe everything you see on the internet?
Why is the CPU throttling graph showing python zig yet the test is for python and Go. I think you forgot to change that before deploying.
He noticed, he even put a small text at one timestamp. He likely just forgot to change the label.
thanks, it just copy paste mistake from the previous benchmark
Does the GO framework, offer as much as Django offer?
Also, GO is compiled and it's a language, Django is a framework of interperter language.
If python will have compiler the differences will be small.
Not a good comparison, sorry.
I know, I just received multiple requests to compare Django, and I personally have a lot of experience running Django in production at my company. It is slow but hard to migrate from.
@@AntonPutra
Honestly, I will compare apple to apple.
Let's say Express(or similar) to FastAPI (with and without some JIT for python)
Anyway, thanks for your effort 😊
Go vs Django vs NextJS please!
ok, noted! express next, then other js frameworks :)
FastAPI vs Ruby on rails!
ok, noted 😊
Edit: i saw your channel
Why python try java , now that you mention it I really wanna know iam curious
will do
You should compare python to C# If I'm not mistaken the results are almost same?
😊
*Next:* HTML 🆚 Rust
🤓
haha