django-rest-framework-gis
http-add-on
django-rest-framework-gis | http-add-on | |
---|---|---|
8 | 9 | |
1,065 | 290 | |
0.0% | 2.1% | |
4.9 | 8.7 | |
about 1 month ago | 5 days ago | |
Python | Go | |
MIT License | Apache License 2.0 |
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.
django-rest-framework-gis
-
OpenWrt 23.05.0-rc1 – First Release Candidate
Is this something similar to OpenWISP? It all sounds cool, but might be an overkill for small installations…
[0] https://openwisp.org/
-
Console for managing multiple OpenWRT nodes?
Haven't tried it yet, but I think OpenWISP is what you want.
-
OpenWRT for meshnet and 200 devices?
or https://openwisp.org/
-
Any open source centrally managed access point system?
All my searches are pointing to OpenWISP
-
open source software like omada
The only "single pane of glass" open source solution I've found like this is OpenWISP. It works along with OpenWR based devices.
-
VPN noob questions
I guess if you want to see what is out there, take a look and openwrt and openwisp
-
Ask HN: Who Wants to Collaborate?
OpenWRT is missing a big piece of the puzzle: configuration management and the ability to work with a "controller". OpenWRT is currently great at running stand-alone but has essentially zero support for being part of a "fleet" of devices managed centrally.
This means something as simple as changing the network name or password requires changing it on every single access point manually, and even worse if your mesh system relies on sharing frequently-changing state between devices.
OpenWISP tries to address this problem: https://openwisp.org - I suggest you check it out and solve the configuration management problem first.
The actual "mesh" part is actually relatively easy. Most commercial systems use basic Linux networking tools, HostAPd (sometimes with custom improvements, but this all ends up upstreamed or reimplemented upstream given enough time) and custom glue code to tie them together. A "mesh" system is typically a user-facing network being broadcast by all APs (with shared settings such as name and password) and an invisible, "backhaul" network each AP hosts (either on a separate interface or on the same interface as the AP - I believe some wireless cards can act both as AP and station as long as the channel is the same) and the other in the path connects to, and the glue code handles configuring all of that. 802.11s is also an option that can be used, and I'm pretty sure all of this is already possible to configure manually in Linux - what's lacking is the "glue code" to set up & manage all of this automatically.
-
front end for displaying maps with django
In your project did you end up deploying something like django-rest-framework-gis? I have found great results with it. Mainly using PSQL as the backend. I found that the built in Django GeoJSON Serializer can become a little slow with polys like land parcels but it will get the job done and if you can get way without deploying DRF then it maybe worth the trade off.
http-add-on
-
Autoscaling Ingress controllers in Kubernetes
KEDA ships with an HTTP add-on to enable HTTP scaling.
-
Request-based autoscaling in Kubernetes: scaling to zero
KEDA has a special scaler that creates an HTTP proxy that measures and buffers requests before they reach the app.
- How to descale to zero?
-
Ask HN: Who Wants to Collaborate?
I am a core maintainer on the KEDA HTTP Addon project (https://github.com/kedacore/http-add-on). It's 100% written in Go and we are a small group looking for additional contributors. I believe there are interesting challenges ahead of us that will be enjoyable to solve.
If you're interested, please reach out. My username here is the same as my username on the Gophers and Kubernetes slack groups.
(You're of course welcome to just go pick up an issue in the repo if you'd prefer)
-
Synchronizing the KEDA HTTP Addon Request Routing Table Across Hundreds of Interceptor Pods
The KEDA HTTP Addon project contains three major components: the operator, scaler and interceptor.
-
Fan-in / Fan-out with Go
Hacking on the KEDA HTTP Addon, I found myself having to do something familiar:
- Ask r/kubernetes: What are you working on this week?
-
Next Steps for KEDA HTTP
First, we need to finish the minimal infrastructure. The components and supporting artifacts (Helm charts, CI scripts, etc...) are being built in PR #2, and once we have them completed, we will merge it [5]. Second, we need to establish a roadmap. We're beginning to outline it now and will finish it shortly after merging.
What are some alternatives?
django-leaflet - Use Leaflet in your Django projects
keda - KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes
fhir-works-on-aws-deployment - A serverless implementation of the FHIR standard that enables users to focus more on their business needs/uniqueness rather than the FHIR specification
k8s-image-swapper - Mirror images into your own registry and swap image references automatically.
quickjs-emscripten - Safely execute untrusted Javascript in your Javascript, and execute synchronous code that uses async functions
relevant_xkcd - A reccomender engine for relavent xkcd comics
vector-datasource - Tilezen vector tile service - OpenStreetMap data in several formats
dbench - Benchmark Kubernetes persistent disk volumes with fio: Read/write IOPS, bandwidth MB/s and latency
openwrt - Linux distribution for embedded devices
Yacy - Distributed Peer-to-Peer Web Search Engine and Intranet Search Appliance
django-loci - Reusable Django app for storing geographic and indoor coordinates. Maintained by the OpenWISP Project.
rsyscall - Process-independent interface to Linux system calls