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litestar-org
litestar
Python2023–2024
litestar-org / litestar

litestar

Light, flexible and extensible ASGI framework | Built to scale

Web Development
Explore on GitHubRead Hacker News discussions
9Distinct people
11Mentions
0Explicit recommenders
8.6KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Light, flexible and extensible ASGI framework | Built to scale

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month11 dated mentions

Observed mentions: 2023-06-25 04:12:34 UTC to 2024-11-13 11:29:39 UTC.

01232023-06-01 00:00:00 UTC to 2023-07-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJun 20232023-07-01 00:00:00 UTC to 2023-08-01 00:00:00 UTC (exclusive): 3 mentions; 2 submissions, 1 comments2023-08-01 00:00:00 UTC to 2023-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-09-01 00:00:00 UTC to 2023-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-01 00:00:00 UTC to 2023-11-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-11-01 00:00:00 UTC to 2023-12-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-12-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2024-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-01 00:00:00 UTC to 2024-03-01 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 commentsFeb 20242024-03-01 00:00:00 UTC to 2024-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-04-01 00:00:00 UTC to 2024-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-05-01 00:00:00 UTC to 2024-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-06-01 00:00:00 UTC to 2024-07-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024-07-01 00:00:00 UTC to 2024-08-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024-08-01 00:00:00 UTC to 2024-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-09-01 00:00:00 UTC to 2024-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-10-01 00:00:00 UTC to 2024-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-11-01 00:00:00 UTC to 2024-12-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsNov 2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jun 20232023-06-01 00:00:00 UTC2023-07-01 00:00:00 UTC101
Jul 20232023-07-01 00:00:00 UTC2023-08-01 00:00:00 UTC321
Aug 20232023-08-01 00:00:00 UTC2023-09-01 00:00:00 UTC000
Sep 20232023-09-01 00:00:00 UTC2023-10-01 00:00:00 UTC000
Oct 20232023-10-01 00:00:00 UTC2023-11-01 00:00:00 UTC101
Nov 20232023-11-01 00:00:00 UTC2023-12-01 00:00:00 UTC101
Dec 20232023-12-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
Jan 20242024-01-01 00:00:00 UTC2024-02-01 00:00:00 UTC000
Feb 20242024-02-01 00:00:00 UTC2024-03-01 00:00:00 UTC202
Mar 20242024-03-01 00:00:00 UTC2024-04-01 00:00:00 UTC000
Apr 20242024-04-01 00:00:00 UTC2024-05-01 00:00:00 UTC000
May 20242024-05-01 00:00:00 UTC2024-06-01 00:00:00 UTC000
Jun 20242024-06-01 00:00:00 UTC2024-07-01 00:00:00 UTC110
Jul 20242024-07-01 00:00:00 UTC2024-08-01 00:00:00 UTC110
Aug 20242024-08-01 00:00:00 UTC2024-09-01 00:00:00 UTC000
Sep 20242024-09-01 00:00:00 UTC2024-10-01 00:00:00 UTC000
Oct 20242024-10-01 00:00:00 UTC2024-11-01 00:00:00 UTC000
Nov 20242024-11-01 00:00:00 UTC2024-12-01 00:00:00 UTC101

What Hacker News says

11 sources
dragonsh·Nov 13, 2024
Not really tried the Claude 3.5, later tried o1-preview on github models and recently Qwen2.5 32B for a prompt to generate a litestar[0] app to manage a wysiwyg content using grapesjs[1] and use pelican[2] to generate static site. It generated very bad code and invented many libraries in import which didn't exist. Cluade was one of the worst code generator, later tried sieve of atkin to generate primes to N and then use miller-rabin test to test each generated prime both using all the cpu core available. Claude completely failed and could never get a correct code without some or the other errors especially using multiprocess, o1-preview got it right in first attempt, Qwen 2.5 32B got it right in 3'rd error fix. In general for some very simple code Claude is correct but when using something new it completely fails, o1-preview performs much
Read the rest
better. Give a try to generate some manim community edition visualization using Claude, it generates something not working correct or with errors, o1-preview does much better job. In most of my test o1-preview performed way better than Claude and Qwen was not that bad either. [0] https://github.com/litestar-org/litestar [1] https://grapesjs.com/ [3] https://getpelican.com/
In Qwen2.5-Coder-32B is an LLM that can code well that runs on my Mac
v3ss0n·Oct 3, 2023
Location: Yangon, Myanmar Remote: Yes Website: https://www.hexcode.tech Resume/CV: https://linkedin.com/in/phyo-arkar-lwin-6601487b GitHub: https://github.com/v3ss0n Email: phyoakl@hexcode.tech , info@hexcode.tech Seeking: Contract, Project-based, Full Team Hire, Long-term Availability: 48 hrs/week Minimum contract: 3 months Tech Stack: PyTorch, Pandas, Scikit-learn, Local LLMS, Generative AI, Computer Vision, DevOps: Docker, Nginx, Ansible, Pyinfra, and more. Backend Frameworks: Django, Litestar, (Flask, FastAPI, Quartz, Bottle) Frontend: React, React MDX, Svelte, SvelteKit, Tailwind, Carbon Design: Figma, Drawio System Integration: Odoo, Erpnext, Authentik, Authlia, Teleport, and more. We are Hexcode Technologies, a Fullstack Development software agency based in Myanmar. We offer competitive rates and are av
Read the rest
ailable for full team or project-based development. With 30+ completed projects, we have a strong track record of delivering on time and within budget. Our flexible rates make us an ideal choice for startups, and we have experience building full-stack software for banks. Our team consists of 3 Fullstack developers, 1 Tech lead, 1 Frontend Specialist, 1 Deep Learning specialist, 1 Backend Specialist, and 1 UI/UX professional. I am also available for hire as a Consultant and Fullstack/CTO . I have 20+ years of experience and actively contributes in opensource projects. Focus: Python [Litestar, Django] + Typescript [Svelte, React] + Tailwind. Contributes to Litestar: [Litestar Contributions](https://litestar.dev, https://github.com/litestar-org/litestar).
In Ask HN: Who wants to be hired? (October 2023)
v3ss0n·Jul 4, 2023
Location: Yangon, Myanmar Remote: Yes Website: https://www.hexcode.tech Resume/CV: https://linkedin.com/in/phyo-arkar-lwin-6601487b GitHub: https://github.com/v3ss0n Email: phyoakl@hexcode.tech Seeking: Contract, Project-based, Full team, Long-term Availability: 48 hrs/week Minimum contract: 2 months Backend: PyTorch, Pandas, Scikit-learn, Local LLMS, Generative AI, Computer Vision, DevOps: Docker, Nginx, Ansible, Pyinfra Backend Frameworks: Django, Litestar, (Flask, FastAPI, Quartz, Bottle) Frontend: React, React MDX, Svelte, SvelteKit UI Design: Figma, Drawio System Integration: Odoo, Erpnext, Authentik, Authlia, Teleport, Seafile, Minio, Nginx, Traefik, Gitea, Zulip, Mattermost Full-stack Developer and Tech Lead with 20+ years of experience in Backend, Frontend, MLOps, Data Engineering, and DevOps. Leads a
Read the rest
team of 7 members. Can code, lead, and work with Scrum. Previously served as CTO for startups. Modest rates , could hire whole team . Focus: Python [Litestar, Django] + Typescript [Svelte, React] + Tailwind. Contributes to https://github.com/litestar-org/litestar. Seeking long-term, full-team employment. Notable Achievements: - 2010: Built ETL + MLOps system for a NY-based eDiscovery firm. - 2016: Developed Myanmar's popular telehealth platform, serving 200k users. - 2022: Created an insuretech platform with deep learning-based pre-underwriting and automatic product recommendations. - 2023: Contributed to https://litestar.dev and built a full-stack delivery platform.
In Ask HN: Who wants to be hired? (July 2023)
v3ss0n·Jun 25, 2023
Litestar 2.0 is launching soon , currently in beta2 stage. Please try it out . I have posted our reasons of choosing it and moving away from FastAPI and becoming contributor to Litestar. Formally it was known as Starlite. Litestar strikes a balance between simple micro framework and enterprise full-stack frameworks. The team is helpful and very collaborative . Feel free to join us . Github: https://github.com/litestar-org/litestar/ Discord: https://discord.gg/aJUvZRse
In Litestar 2.0 Incoming: Faster, Stable, Proper FastAPI Alternative

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